{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "9c458709", "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n" ] }, { "cell_type": "markdown", "id": "6953eba2", "metadata": {}, "source": [ "# Open Data" ] }, { "cell_type": "code", "execution_count": 2, "id": "387ab682", "metadata": {}, "outputs": [], "source": [ "# Load the CSV file into a DataFrame\n", "pre_data = pd.read_csv('pre.csv')\n", "intervention = pd.read_csv('intervention_condition.csv')\n", "control = pd.read_csv('control_condition.csv')\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "c114fe3c", "metadata": {}, "outputs": [], "source": [ "# Keep only the columns after the first six\n", "pre_data = pre_data.iloc[:, 17:]\n", "intervention = intervention.iloc[:, 17:]\n", "control = control.iloc[:, 17:]" ] }, { "cell_type": "code", "execution_count": 4, "id": "4c8b27b7", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P2YesYesYesYesYesYesYesYesYes...University Bachelors Degree153431025
3P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
4P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
5P4YesYesYesYesYesYesYesYesYes...University Bachelors Degree344444444
6P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
7P6YesYesYesYesYesYesYesYesYes...University Bachelors Degree324342215
8P7YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...31323420-1
9P12YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
10P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
11P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
12P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
13P14YesYesYesYesYesYesYesYesYes...University Bachelors Degree222330104
14P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
15P22YesYesYesYesYesYesYesYesYes...Vocational or Similar355553335
16P16YesYesYesYesYesYesYesYesYes...University Bachelors Degree012031014
17P8YesYesYesYesYesYesYesYesYes...University Bachelors Degree3531530-15
18P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
19P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
20P18YesYesYesYesYesYesYesYesYes...University Bachelors Degree12333-1125
21P26YesYesYesYesYesYesYesYesYes...University Bachelors Degree505-553045
22P20YesYesYesYesYesYesYesYesYes...University Bachelors Degree133234344
23P30YesYesYesYesYesYesYesYesYes...Completed secondary school113332334
24P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
25P7NaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
26P17YesYesYesYesYesYesYesYesYes...University Bachelors Degree221222022
\n", "

27 rows × 27 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P1 \n", "4 P25 \n", "5 P4 \n", "6 P9 \n", "7 P6 \n", "8 P7 \n", "9 P12 \n", "10 P11 \n", "11 P13 \n", "12 P5 \n", "13 P14 \n", "14 P15 \n", "15 P22 \n", "16 P16 \n", "17 P8 \n", "18 P3 \n", "19 P29 \n", "20 P18 \n", "21 P26 \n", "22 P20 \n", "23 P30 \n", "24 P23 \n", "25 P7 \n", "26 P17 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "25 NaN \n", "26 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "13 Yes ... \n", "14 Yes ... \n", "15 Yes ... \n", "16 Yes ... \n", "17 Yes ... \n", "18 Yes ... \n", "19 Yes ... \n", "20 Yes ... \n", "21 Yes ... \n", "22 Yes ... \n", "23 Yes ... \n", "24 Yes ... \n", "25 NaN ... \n", "26 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 Graduate or professional degree (MA, MS, MBA, ... \n", "5 University Bachelors Degree \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "8 Graduate or professional degree (MA, MS, MBA, ... \n", "9 Graduate or professional degree (MA, MS, MBA, ... \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "13 University Bachelors Degree \n", "14 Prefer not to say \n", "15 Vocational or Similar \n", "16 University Bachelors Degree \n", "17 University Bachelors Degree \n", "18 University Bachelors Degree \n", "19 University Bachelors Degree \n", "20 University Bachelors Degree \n", "21 University Bachelors Degree \n", "22 University Bachelors Degree \n", "23 Completed secondary school \n", "24 Some university but no degree \n", "25 NaN \n", "26 University Bachelors Degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 2 \n", "5 3 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 0 \n", "10 -2 \n", "11 3 \n", "12 3 \n", "13 2 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 3 \n", "18 2 \n", "19 -2 \n", "20 1 \n", "21 5 \n", "22 1 \n", "23 1 \n", "24 2 \n", "25 NaN \n", "26 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 1 \n", "7 2 \n", "8 1 \n", "9 0 \n", "10 2 \n", "11 2 \n", "12 4 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 1 \n", "17 5 \n", "18 2 \n", "19 3 \n", "20 2 \n", "21 0 \n", "22 3 \n", "23 1 \n", "24 3 \n", "25 NaN \n", "26 2 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 1 \n", "4 1 \n", "5 4 \n", "6 3 \n", "7 4 \n", "8 3 \n", "9 3 \n", "10 1 \n", "11 1 \n", "12 5 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 2 \n", "17 3 \n", "18 2 \n", "19 2 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 2 \n", "25 NaN \n", "26 1 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 -1 \n", "4 4 \n", "5 4 \n", "6 2 \n", "7 3 \n", "8 2 \n", "9 3 \n", "10 3 \n", "11 0 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 0 \n", "17 1 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 -5 \n", "22 2 \n", "23 3 \n", "24 1 \n", "25 NaN \n", "26 2 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 2 \n", "7 4 \n", "8 3 \n", "9 3 \n", "10 3 \n", "11 3 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 3 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 3 \n", "25 NaN \n", "26 2 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 0 \n", "12 4 \n", "13 0 \n", "14 0 \n", "15 3 \n", "16 1 \n", "17 3 \n", "18 2 \n", "19 3 \n", "20 -1 \n", "21 3 \n", "22 4 \n", "23 2 \n", "24 1 \n", "25 NaN \n", "26 2 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "8 2 \n", "9 0 \n", "10 1 \n", "11 3 \n", "12 3 \n", "13 1 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 0 \n", "18 3 \n", "19 -2 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Q25Q54_IdQ54_NameQ54_SizeQ54_TypeQ55_IdQ55_NameQ55_SizeQ55_TypeQ56_Id...Q54_1Q53_1Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1Q27Q28
0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: module1_data: - IdUpload here the file: module1_data: - NameUpload here the file: module1_data: - SizeUpload here the file: module1_data: - TypeUpload here the file: module2_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
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2p2F_2lx8jQGhNyq8NklpreSession_data.xlsx18897application/vnd.openxmlformats-officedocument....F_3scPH5lKh0GndNDmodule1_data.xlsx25993application/vnd.openxmlformats-officedocument....F_1oyXw0iTDNNi50F...35665566that it can help you how to deal with a child ...it lags sometimes with some questions
3P4F_31YhifE63FAk2yvpreSession_data.xlsx19506application/vnd.openxmlformats-officedocument....F_s7fxRI2rTjNEf2Fmodule1_data.xlsx22202application/vnd.openxmlformats-officedocument....F_1dgnrNAqePjtnZh...54677766it gave me a brief idea about counseling.sometimes the child did not understand me, I c...
4P6F_pRiQVmR86oBcQ5rpreSession_data.xlsx18097application/vnd.openxmlformats-officedocument....F_10uE5gG4V2LlHOEmodule1_data.xlsx21703application/vnd.openxmlformats-officedocument....F_20MuS9pGFXdVxby...13665656It helped me with asking important questionsIt was not always very clear if I was understo...
5p14F_29cUu020oxO3HAlpreSession_data%20(1).xlsx17801application/vnd.openxmlformats-officedocument....F_2zSZqLwnLl1baRQmodule1_data.xlsx25905application/vnd.openxmlformats-officedocument....F_1lzt79y87RlcD4w...33665665I gained new skillsThe sessions period
6P22F_3nAGK73oXtt6wDapreSession_data.xlsx19414application/vnd.openxmlformats-officedocument....F_3ir7TFGdWNy7M1nmodule1_data.xlsx25995application/vnd.openxmlformats-officedocument....F_OBd4gkr3Ec1NsLT...05456776What i liked about the system, is that i got t...That it did'nt understood my sentence sometimes
7p16F_3eqcf0Uluaq8PugpreSession_data.xlsx21203application/vnd.openxmlformats-officedocument....F_xmea0BccTgRim2Zmodule1_data.xlsx26159application/vnd.openxmlformats-officedocument....F_31mymsDRPssikyv...-14656555I liked counselling a bullied childit did not always understand me
88F_3KBlCqcn0XEEGVMpreSession_data.xlsx18535application/vnd.openxmlformats-officedocument....F_PTDeYlDSrgNBYZPmodule1_data.xlsx19078application/vnd.openxmlformats-officedocument....F_pAVkucmVLbArtV7...55775547The hints that they give it to me to help the kidI feel more easy to control the conversation
9p18F_2rZRZzINBU8yDNqUnconfirmed%20948825.crdownload23679application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_2DRK6usg3OO7ERM...-14666652It was easy to useIt was repeating the questions and was not abl...
10p26F_bCTB4ACpPNObPVfpreSession_data.xlsx18718application/vnd.openxmlformats-officedocument....F_3L0WQG8rcTo95K6module1_data.xlsx20508application/vnd.openxmlformats-officedocument....F_2OVkULL120gDqx1...33343165I liked that it provided me with some informat...The child did not respond to me correctly
11P20F_DIFNJ12QETnHPLHpreSession_data.xlsx21068application/vnd.openxmlformats-officedocument....F_27s4N4fJABqe9gjmodule1_data.xlsx21803application/vnd.openxmlformats-officedocument....F_1Eie5o7qcNxcdSt...23454346It was easy to use and useful for people to so...I can not talk freely, he did understand every...
12p30F_2XaOCygcDKwgesPNiet%20bevestigd%20723018.crdownload26518application/vnd.openxmlformats-officedocument....F_3F2tM47Lq0Xfk7Tmodule1_data.xlsx21870application/vnd.openxmlformats-officedocument....F_1diqVFHdf3kPMWC...34756676to chat with the child, it was really realistic.sometimes the system doesn't alwas understand ...
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0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: conditionB_data: - IdUpload here the file: conditionB_data: - NameUpload here the file: conditionB_data: - SizeUpload here the file: conditionB_data: - TypeUpload here the file: postSession_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
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2p1F_3h5X0PtCBnH3lQXpreSession_data.xlsx24563application/vnd.openxmlformats-officedocument....F_1GK6DLbDDluH1bnconditionB_data.xlsx16717application/vnd.openxmlformats-officedocument....F_ePByRzaAVaOdqyR...-40466665I liked the training part en the way in which ...Sometimes the system seems to not understand w...
3p25F_2TuD4FU5NadI4rFpreSession_data.xlsx19140application/vnd.openxmlformats-officedocument....F_2fJpF68sLtSnxT5conditionB_data.xlsx18395application/vnd.openxmlformats-officedocument....F_2zcm7rZg3TZq0kc...35555444The tips about how to approach and do the conv...Could be a little more specific and give examples
4P9F_Bs4203WInxTMACZpreSession_data.xlsx19592application/vnd.openxmlformats-officedocument....F_1jZWUFWJffkzNHLconditionB_data.xlsx30026application/vnd.openxmlformats-officedocument....F_22Qyl5JLbTK82Qj...23464355I like that I could help bullied childrenThe answers were not always relevant to my que...
5P7F_DN61j5zKwsdzZi9preSession_data.xlsx20794application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNNaN...10232324The system provides basic hints on how to cond...The system is primative, including several bug...
6P12F_2tKaa1Ub2iuhGvnUnconfirmed%20286673.crdownload23957application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_1oe7N1vWJyDmcB7...03435533The system provided a hint to continue the con...There was a repetitive answer!
7p11F_3J5exG79unVOxLWpreSession_data.xlsx18329application/vnd.openxmlformats-officedocument....F_3imc0SNZ8fDj1auconditionB_data.xlsx21712application/vnd.openxmlformats-officedocument....F_1FPW6cNPcdeHRxv...44565664I have gained new skills on how to deal with b...The pop-up instructions
8P13F_vUIR9TzjXS08MeJpreSession_data.xlsx19589application/vnd.openxmlformats-officedocument....F_w4QBr3d6PLcB1JLconditionB_data.xlsx38478application/vnd.openxmlformats-officedocument....F_2eaF3u6IXZD4w79...22665756The tips that are given and the explaition of ...The chatbot doesn't understand everything I wa...
9P5F_3iI6D4FMKzFBEpipreSession_data.xlsx20214application/vnd.openxmlformats-officedocument....F_YWdoFBzOTe3caDDconditionB_data.xlsx29063application/vnd.openxmlformats-officedocument....F_1FeMbdKjHRdIPdB...35777676It gives me the necessary resources to help th...I dont have anything I dont like about the system
10P15F_1jJrf5nvTS0kiYApreSession_data.xlsx35003application/vnd.openxmlformats-officedocument....F_1FbRakaKnMsoTzGconditionB_data.xlsx46333application/vnd.openxmlformats-officedocument....F_OKhNwI1hKsv5cpb...-12554534it knows about the situations it's in, it does...most of the time the system repeated itself, i...
11P3F_12amoKR3Qh54CPppreSession_data.xlsx18856application/vnd.openxmlformats-officedocument....F_1mgA7zYw1NThEb7conditionB_data.xlsx22760application/vnd.openxmlformats-officedocument....F_6Khz619imjkVwLn...33667666clear layoutinconsistent responses
12p39F_11i89REvyWtyQCepreSession_data.xlsx21180application/vnd.openxmlformats-officedocument....F_1Q4ly9iJfX6O5DPconditionB_data.xlsx41654application/vnd.openxmlformats-officedocument....F_2qdAPCN3gmfOuUo...33666666it helps and get very well datait should be improved with a great the llm model
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Size \n", "1 {\"ImportId\":\"QID80_FILE_SIZE\"} \n", "2 24563 \n", "3 19140 \n", "4 19592 \n", "5 20794 \n", "6 23957 \n", "7 18329 \n", "8 19589 \n", "9 20214 \n", "10 35003 \n", "11 18856 \n", "12 21180 \n", "13 20984 \n", "14 NaN \n", "\n", " Q54_Type \\\n", "0 Upload the file: preSession_data - Type \n", "1 {\"ImportId\":\"QID80_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "5 application/vnd.openxmlformats-officedocument.... \n", "6 application/vnd.openxmlformats-officedocument.... \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "14 NaN \n", "\n", " Q55_Id \\\n", "0 Upload here the file: conditionB_data: - Id \n", "1 {\"ImportId\":\"QID81_FILE_ID\"} \n", "2 F_1GK6DLbDDluH1bn \n", "3 F_2fJpF68sLtSnxT5 \n", "4 F_1jZWUFWJffkzNHL \n", "5 NaN \n", "6 NaN \n", "7 F_3imc0SNZ8fDj1au \n", "8 F_w4QBr3d6PLcB1JL \n", "9 F_YWdoFBzOTe3caDD \n", "10 F_1FbRakaKnMsoTzG \n", "11 F_1mgA7zYw1NThEb7 \n", "12 F_1Q4ly9iJfX6O5DP \n", "13 F_51t8iV7OaMNIFUJ \n", "14 NaN \n", "\n", " Q55_Name \\\n", "0 Upload here the file: conditionB_data: - Name \n", "1 {\"ImportId\":\"QID81_FILE_NAME\"} \n", "2 conditionB_data.xlsx \n", "3 conditionB_data.xlsx \n", "4 conditionB_data.xlsx \n", "5 NaN \n", "6 NaN \n", "7 conditionB_data.xlsx \n", "8 conditionB_data.xlsx \n", "9 conditionB_data.xlsx \n", "10 conditionB_data.xlsx \n", "11 conditionB_data.xlsx \n", "12 conditionB_data.xlsx \n", "13 conditionB_data.xlsx \n", "14 NaN \n", "\n", " Q55_Size \\\n", "0 Upload here the file: conditionB_data: - Size \n", "1 {\"ImportId\":\"QID81_FILE_SIZE\"} \n", "2 16717 \n", "3 18395 \n", "4 30026 \n", "5 NaN \n", "6 NaN \n", "7 21712 \n", "8 38478 \n", "9 29063 \n", "10 46333 \n", "11 22760 \n", "12 41654 \n", "13 30758 \n", "14 NaN \n", "\n", " Q55_Type \\\n", "0 Upload here the file: conditionB_data: - Type \n", "1 {\"ImportId\":\"QID81_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "5 NaN \n", "6 NaN \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "14 NaN \n", "\n", " Q58_Id ... \\\n", "0 Upload here the file: postSession_data - Id ... \n", "1 {\"ImportId\":\"QID84_FILE_ID\"} ... \n", "2 F_ePByRzaAVaOdqyR ... \n", "3 F_2zcm7rZg3TZq0kc ... \n", "4 F_22Qyl5JLbTK82Qj ... \n", "5 NaN ... \n", "6 F_1oe7N1vWJyDmcB7 ... \n", "7 F_1FPW6cNPcdeHRxv ... \n", "8 F_2eaF3u6IXZD4w79 ... \n", "9 F_1FeMbdKjHRdIPdB ... \n", "10 F_OKhNwI1hKsv5cpb ... \n", "11 F_6Khz619imjkVwLn ... \n", "12 F_2qdAPCN3gmfOuUo ... \n", "13 F_2rJbituvRI5gej3 ... \n", "14 NaN ... \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 -4 \n", "3 3 \n", "4 2 \n", "5 1 \n", "6 0 \n", "7 4 \n", "8 2 \n", "9 3 \n", "10 -1 \n", "11 3 \n", "12 3 \n", "13 3 \n", "14 NaN \n", "\n", " Q53_1 \\\n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 0 \n", "3 5 \n", "4 3 \n", "5 0 \n", "6 3 \n", "7 4 \n", "8 2 \n", "9 5 \n", "10 2 \n", "11 3 \n", "12 3 \n", "13 4 \n", "14 NaN \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "5 2 \n", "6 4 \n", "7 5 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "14 NaN \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 5 \n", "4 6 \n", "5 3 \n", "6 3 \n", "7 6 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "14 NaN \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 6 \n", "3 5 \n", "4 4 \n", "5 2 \n", "6 5 \n", "7 5 \n", "8 5 \n", "9 7 \n", "10 4 \n", "11 7 \n", "12 6 \n", "13 5 \n", "14 NaN \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 6 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 4 \n", "14 NaN \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 4 \n", "4 5 \n", "5 2 \n", "6 3 \n", "7 6 \n", "8 5 \n", "9 7 \n", "10 3 \n", "11 6 \n", "12 6 \n", "13 6 \n", "14 NaN \n", "\n", " Q55_1.1 \\\n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "5 4 \n", "6 3 \n", "7 4 \n", "8 6 \n", "9 6 \n", "10 4 \n", "11 6 \n", "12 6 \n", "13 6 \n", "14 NaN \n", "\n", " Q27 \\\n", "0 What did you like most about the system? \n", "1 {\"ImportId\":\"QID89_TEXT\"} \n", "2 I liked the training part en the way in which ... \n", "3 The tips about how to approach and do the conv... \n", "4 I like that I could help bullied children \n", "5 The system provides basic hints on how to cond... \n", "6 The system provided a hint to continue the con... \n", "7 I have gained new skills on how to deal with b... \n", "8 The tips that are given and the explaition of ... \n", "9 It gives me the necessary resources to help th... \n", "10 it knows about the situations it's in, it does... \n", "11 clear layout \n", "12 it helps and get very well data \n", "13 I liked how simple and user-friendly it is. Th... \n", "14 NaN \n", "\n", " Q28 \n", "0 What did you like least about the system? \n", "1 {\"ImportId\":\"QID90_TEXT\"} \n", "2 Sometimes the system seems to not understand w... \n", "3 Could be a little more specific and give examples \n", "4 The answers were not always relevant to my que... \n", "5 The system is primative, including several bug... \n", "6 There was a repetitive answer! \n", "7 The pop-up instructions \n", "8 The chatbot doesn't understand everything I wa... \n", "9 I dont have anything I dont like about the system \n", "10 most of the time the system repeated itself, i... \n", "11 inconsistent responses \n", "12 it should be improved with a great the llm model \n", "13 Not every question I asked received an appropr... \n", "14 NaN \n", "\n", "[15 rows x 30 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "control" ] }, { "cell_type": "markdown", "id": "3a28b5c7", "metadata": {}, "source": [ "# Data Cleaning" ] }, { "cell_type": "code", "execution_count": 7, "id": "2798c428", "metadata": {}, "outputs": [], "source": [ "pre_data = pre_data.drop(columns=['Q2_4_TEXT'])\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "87b67a6d", "metadata": {}, "outputs": [], "source": [ "pre_data = pre_data.dropna()\n" ] }, { "cell_type": "code", "execution_count": 9, "id": "90132a6c", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P2YesYesYesYesYesYesYesYesYes...University Bachelors Degree153431025
3P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
4P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
5P4YesYesYesYesYesYesYesYesYes...University Bachelors Degree344444444
6P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
7P6YesYesYesYesYesYesYesYesYes...University Bachelors Degree324342215
8P7YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...31323420-1
9P12YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
10P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
11P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
12P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
13P14YesYesYesYesYesYesYesYesYes...University Bachelors Degree222330104
14P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
15P22YesYesYesYesYesYesYesYesYes...Vocational or Similar355553335
16P16YesYesYesYesYesYesYesYesYes...University Bachelors Degree012031014
17P8YesYesYesYesYesYesYesYesYes...University Bachelors Degree3531530-15
18P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
19P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
20P18YesYesYesYesYesYesYesYesYes...University Bachelors Degree12333-1125
21P26YesYesYesYesYesYesYesYesYes...University Bachelors Degree505-553045
22P20YesYesYesYesYesYesYesYesYes...University Bachelors Degree133234344
23P30YesYesYesYesYesYesYesYesYes...Completed secondary school113332334
24P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
26P17YesYesYesYesYesYesYesYesYes...University Bachelors Degree221222022
\n", "

26 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P1 \n", "4 P25 \n", "5 P4 \n", "6 P9 \n", "7 P6 \n", "8 P7 \n", "9 P12 \n", "10 P11 \n", "11 P13 \n", "12 P5 \n", "13 P14 \n", "14 P15 \n", "15 P22 \n", "16 P16 \n", "17 P8 \n", "18 P3 \n", "19 P29 \n", "20 P18 \n", "21 P26 \n", "22 P20 \n", "23 P30 \n", "24 P23 \n", "26 P17 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "26 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "13 Yes ... \n", "14 Yes ... \n", "15 Yes ... \n", "16 Yes ... \n", "17 Yes ... \n", "18 Yes ... \n", "19 Yes ... \n", "20 Yes ... \n", "21 Yes ... \n", "22 Yes ... \n", "23 Yes ... \n", "24 Yes ... \n", "26 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 Graduate or professional degree (MA, MS, MBA, ... \n", "5 University Bachelors Degree \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "8 Graduate or professional degree (MA, MS, MBA, ... \n", "9 Graduate or professional degree (MA, MS, MBA, ... \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "13 University Bachelors Degree \n", "14 Prefer not to say \n", "15 Vocational or Similar \n", "16 University Bachelors Degree \n", "17 University Bachelors Degree \n", "18 University Bachelors Degree \n", "19 University Bachelors Degree \n", "20 University Bachelors Degree \n", "21 University Bachelors Degree \n", "22 University Bachelors Degree \n", "23 Completed secondary school \n", "24 Some university but no degree \n", "26 University Bachelors Degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 2 \n", "5 3 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 0 \n", "10 -2 \n", "11 3 \n", "12 3 \n", "13 2 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 3 \n", "18 2 \n", "19 -2 \n", "20 1 \n", "21 5 \n", "22 1 \n", "23 1 \n", "24 2 \n", "26 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 1 \n", "7 2 \n", "8 1 \n", "9 0 \n", "10 2 \n", "11 2 \n", "12 4 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 1 \n", "17 5 \n", "18 2 \n", "19 3 \n", "20 2 \n", "21 0 \n", "22 3 \n", "23 1 \n", "24 3 \n", "26 2 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 1 \n", "4 1 \n", "5 4 \n", "6 3 \n", "7 4 \n", "8 3 \n", "9 3 \n", "10 1 \n", "11 1 \n", "12 5 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 2 \n", "17 3 \n", "18 2 \n", "19 2 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 2 \n", "26 1 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 -1 \n", "4 4 \n", "5 4 \n", "6 2 \n", "7 3 \n", "8 2 \n", "9 3 \n", "10 3 \n", "11 0 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 0 \n", "17 1 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 -5 \n", "22 2 \n", "23 3 \n", "24 1 \n", "26 2 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 2 \n", "7 4 \n", "8 3 \n", "9 3 \n", "10 3 \n", "11 3 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 3 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 3 \n", "26 2 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 0 \n", "12 4 \n", "13 0 \n", "14 0 \n", "15 3 \n", "16 1 \n", "17 3 \n", "18 2 \n", "19 3 \n", "20 -1 \n", "21 3 \n", "22 4 \n", "23 2 \n", "24 1 \n", "26 2 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "8 2 \n", "9 0 \n", "10 1 \n", "11 3 \n", "12 3 \n", "13 1 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 0 \n", "18 3 \n", "19 -2 \n", "20 1 \n", "21 0 \n", "22 3 \n", "23 3 \n", "24 2 \n", "26 0 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 2 \n", "3 4 \n", "4 3 \n", "5 4 \n", 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Q25Q54_IdQ54_NameQ54_SizeQ54_TypeQ55_IdQ55_NameQ55_SizeQ55_TypeQ56_Id...Q54_1Q53_1Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1Q27Q28
0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: module1_data: - IdUpload here the file: module1_data: - NameUpload here the file: module1_data: - SizeUpload here the file: module1_data: - TypeUpload here the file: module2_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
1{\"ImportId\":\"QID87_TEXT\"}{\"ImportId\":\"QID80_FILE_ID\"}{\"ImportId\":\"QID80_FILE_NAME\"}{\"ImportId\":\"QID80_FILE_SIZE\"}{\"ImportId\":\"QID80_FILE_TYPE\"}{\"ImportId\":\"QID81_FILE_ID\"}{\"ImportId\":\"QID81_FILE_NAME\"}{\"ImportId\":\"QID81_FILE_SIZE\"}{\"ImportId\":\"QID81_FILE_TYPE\"}{\"ImportId\":\"QID82_FILE_ID\"}...{\"ImportId\":\"QID67_1\"}{\"ImportId\":\"QID66_1\"}{\"ImportId\":\"QID58_1\"}{\"ImportId\":\"QID59_1\"}{\"ImportId\":\"QID60_1\"}{\"ImportId\":\"QID61_1\"}{\"ImportId\":\"QID62_1\"}{\"ImportId\":\"QID63_1\"}{\"ImportId\":\"QID89_TEXT\"}{\"ImportId\":\"QID90_TEXT\"}
2p2F_2lx8jQGhNyq8NklpreSession_data.xlsx18897application/vnd.openxmlformats-officedocument....F_3scPH5lKh0GndNDmodule1_data.xlsx25993application/vnd.openxmlformats-officedocument....F_1oyXw0iTDNNi50F...35665566that it can help you how to deal with a child ...it lags sometimes with some questions
3P4F_31YhifE63FAk2yvpreSession_data.xlsx19506application/vnd.openxmlformats-officedocument....F_s7fxRI2rTjNEf2Fmodule1_data.xlsx22202application/vnd.openxmlformats-officedocument....F_1dgnrNAqePjtnZh...54677766it gave me a brief idea about counseling.sometimes the child did not understand me, I c...
4P6F_pRiQVmR86oBcQ5rpreSession_data.xlsx18097application/vnd.openxmlformats-officedocument....F_10uE5gG4V2LlHOEmodule1_data.xlsx21703application/vnd.openxmlformats-officedocument....F_20MuS9pGFXdVxby...13665656It helped me with asking important questionsIt was not always very clear if I was understo...
5p14F_29cUu020oxO3HAlpreSession_data%20(1).xlsx17801application/vnd.openxmlformats-officedocument....F_2zSZqLwnLl1baRQmodule1_data.xlsx25905application/vnd.openxmlformats-officedocument....F_1lzt79y87RlcD4w...33665665I gained new skillsThe sessions period
6P22F_3nAGK73oXtt6wDapreSession_data.xlsx19414application/vnd.openxmlformats-officedocument....F_3ir7TFGdWNy7M1nmodule1_data.xlsx25995application/vnd.openxmlformats-officedocument....F_OBd4gkr3Ec1NsLT...05456776What i liked about the system, is that i got t...That it did'nt understood my sentence sometimes
7p16F_3eqcf0Uluaq8PugpreSession_data.xlsx21203application/vnd.openxmlformats-officedocument....F_xmea0BccTgRim2Zmodule1_data.xlsx26159application/vnd.openxmlformats-officedocument....F_31mymsDRPssikyv...-14656555I liked counselling a bullied childit did not always understand me
88F_3KBlCqcn0XEEGVMpreSession_data.xlsx18535application/vnd.openxmlformats-officedocument....F_PTDeYlDSrgNBYZPmodule1_data.xlsx19078application/vnd.openxmlformats-officedocument....F_pAVkucmVLbArtV7...55775547The hints that they give it to me to help the kidI feel more easy to control the conversation
9p18F_2rZRZzINBU8yDNqUnconfirmed%20948825.crdownload23679application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_2DRK6usg3OO7ERM...-14666652It was easy to useIt was repeating the questions and was not abl...
10p26F_bCTB4ACpPNObPVfpreSession_data.xlsx18718application/vnd.openxmlformats-officedocument....F_3L0WQG8rcTo95K6module1_data.xlsx20508application/vnd.openxmlformats-officedocument....F_2OVkULL120gDqx1...33343165I liked that it provided me with some informat...The child did not respond to me correctly
11P20F_DIFNJ12QETnHPLHpreSession_data.xlsx21068application/vnd.openxmlformats-officedocument....F_27s4N4fJABqe9gjmodule1_data.xlsx21803application/vnd.openxmlformats-officedocument....F_1Eie5o7qcNxcdSt...23454346It was easy to use and useful for people to so...I can not talk freely, he did understand every...
12p30F_2XaOCygcDKwgesPNiet%20bevestigd%20723018.crdownload26518application/vnd.openxmlformats-officedocument....F_3F2tM47Lq0Xfk7Tmodule1_data.xlsx21870application/vnd.openxmlformats-officedocument....F_1diqVFHdf3kPMWC...34756676to chat with the child, it was really realistic.sometimes the system doesn't alwas understand ...
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13 rows × 38 columns

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1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 5 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 4 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 4 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 6 \n", "3 6 \n", "4 6 \n", "5 6 \n", "6 4 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 3 \n", "11 4 \n", "12 7 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 7 \n", "4 6 \n", "5 6 \n", "6 5 \n", "7 5 \n", "8 7 \n", "9 6 \n", "10 4 \n", "11 5 \n", "12 5 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 5 \n", "3 7 \n", "4 5 \n", "5 5 \n", "6 6 \n", "7 6 \n", "8 5 \n", "9 6 \n", "10 3 \n", "11 4 \n", "12 6 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 5 \n", "3 7 \n", "4 6 \n", "5 6 \n", "6 7 \n", "7 5 \n", "8 5 \n", "9 6 \n", "10 1 \n", "11 3 \n", "12 6 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 6 \n", "4 5 \n", "5 6 \n", "6 7 \n", "7 5 \n", "8 4 \n", "9 5 \n", "10 6 \n", "11 4 \n", "12 7 \n", "\n", " Q55_1.1 \\\n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 6 \n", "3 6 \n", "4 6 \n", "5 5 \n", "6 6 \n", "7 5 \n", "8 7 \n", "9 2 \n", "10 5 \n", "11 6 \n", "12 6 \n", "\n", " Q27 \\\n", "0 What did you like most about the system? \n", "1 {\"ImportId\":\"QID89_TEXT\"} \n", "2 that it can help you how to deal with a child ... \n", "3 it gave me a brief idea about counseling. \n", "4 It helped me with asking important questions \n", "5 I gained new skills \n", "6 What i liked about the system, is that i got t... \n", "7 I liked counselling a bullied child \n", "8 The hints that they give it to me to help the kid \n", "9 It was easy to use \n", "10 I liked that it provided me with some informat... \n", "11 It was easy to use and useful for people to so... \n", "12 to chat with the child, it was really realistic. \n", "\n", " Q28 \n", "0 What did you like least about the system? \n", "1 {\"ImportId\":\"QID90_TEXT\"} \n", "2 it lags sometimes with some questions \n", "3 sometimes the child did not understand me, I c... \n", "4 It was not always very clear if I was understo... \n", "5 The sessions period \n", "6 That it did'nt understood my sentence sometimes \n", "7 it did not always understand me \n", "8 I feel more easy to control the conversation \n", "9 It was repeating the questions and was not abl... \n", "10 The child did not respond to me correctly \n", "11 I can not talk freely, he did understand every... \n", "12 sometimes the system doesn't alwas understand ... \n", "\n", "[13 rows x 38 columns]" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "intervention= intervention.dropna(thresh=2) \n", "intervention" ] }, { "cell_type": "code", "execution_count": 11, "id": "2c132b73", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q54_IdQ54_NameQ54_SizeQ54_TypeQ55_IdQ55_NameQ55_SizeQ55_TypeQ58_Id...Q54_1Q53_1Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1Q27Q28
0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: conditionB_data: - IdUpload here the file: conditionB_data: - NameUpload here the file: conditionB_data: - SizeUpload here the file: conditionB_data: - TypeUpload here the file: postSession_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
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2p1F_3h5X0PtCBnH3lQXpreSession_data.xlsx24563application/vnd.openxmlformats-officedocument....F_1GK6DLbDDluH1bnconditionB_data.xlsx16717application/vnd.openxmlformats-officedocument....F_ePByRzaAVaOdqyR...-40466665I liked the training part en the way in which ...Sometimes the system seems to not understand w...
3p25F_2TuD4FU5NadI4rFpreSession_data.xlsx19140application/vnd.openxmlformats-officedocument....F_2fJpF68sLtSnxT5conditionB_data.xlsx18395application/vnd.openxmlformats-officedocument....F_2zcm7rZg3TZq0kc...35555444The tips about how to approach and do the conv...Could be a little more specific and give examples
4P9F_Bs4203WInxTMACZpreSession_data.xlsx19592application/vnd.openxmlformats-officedocument....F_1jZWUFWJffkzNHLconditionB_data.xlsx30026application/vnd.openxmlformats-officedocument....F_22Qyl5JLbTK82Qj...23464355I like that I could help bullied childrenThe answers were not always relevant to my que...
6P12F_2tKaa1Ub2iuhGvnUnconfirmed%20286673.crdownload23957application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_1oe7N1vWJyDmcB7...03435533The system provided a hint to continue the con...There was a repetitive answer!
7p11F_3J5exG79unVOxLWpreSession_data.xlsx18329application/vnd.openxmlformats-officedocument....F_3imc0SNZ8fDj1auconditionB_data.xlsx21712application/vnd.openxmlformats-officedocument....F_1FPW6cNPcdeHRxv...44565664I have gained new skills on how to deal with b...The pop-up instructions
8P13F_vUIR9TzjXS08MeJpreSession_data.xlsx19589application/vnd.openxmlformats-officedocument....F_w4QBr3d6PLcB1JLconditionB_data.xlsx38478application/vnd.openxmlformats-officedocument....F_2eaF3u6IXZD4w79...22665756The tips that are given and the explaition of ...The chatbot doesn't understand everything I wa...
9P5F_3iI6D4FMKzFBEpipreSession_data.xlsx20214application/vnd.openxmlformats-officedocument....F_YWdoFBzOTe3caDDconditionB_data.xlsx29063application/vnd.openxmlformats-officedocument....F_1FeMbdKjHRdIPdB...35777676It gives me the necessary resources to help th...I dont have anything I dont like about the system
10P15F_1jJrf5nvTS0kiYApreSession_data.xlsx35003application/vnd.openxmlformats-officedocument....F_1FbRakaKnMsoTzGconditionB_data.xlsx46333application/vnd.openxmlformats-officedocument....F_OKhNwI1hKsv5cpb...-12554534it knows about the situations it's in, it does...most of the time the system repeated itself, i...
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12p39F_11i89REvyWtyQCepreSession_data.xlsx21180application/vnd.openxmlformats-officedocument....F_1Q4ly9iJfX6O5DPconditionB_data.xlsx41654application/vnd.openxmlformats-officedocument....F_2qdAPCN3gmfOuUo...33666666it helps and get very well datait should be improved with a great the llm model
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Size \n", "1 {\"ImportId\":\"QID80_FILE_SIZE\"} \n", "2 24563 \n", "3 19140 \n", "4 19592 \n", "6 23957 \n", "7 18329 \n", "8 19589 \n", "9 20214 \n", "10 35003 \n", "11 18856 \n", "12 21180 \n", "13 20984 \n", "\n", " Q54_Type \\\n", "0 Upload the file: preSession_data - Type \n", "1 {\"ImportId\":\"QID80_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "6 application/vnd.openxmlformats-officedocument.... \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "\n", " Q55_Id \\\n", "0 Upload here the file: conditionB_data: - Id \n", "1 {\"ImportId\":\"QID81_FILE_ID\"} \n", "2 F_1GK6DLbDDluH1bn \n", "3 F_2fJpF68sLtSnxT5 \n", "4 F_1jZWUFWJffkzNHL \n", "6 NaN \n", "7 F_3imc0SNZ8fDj1au \n", "8 F_w4QBr3d6PLcB1JL \n", "9 F_YWdoFBzOTe3caDD \n", "10 F_1FbRakaKnMsoTzG \n", "11 F_1mgA7zYw1NThEb7 \n", "12 F_1Q4ly9iJfX6O5DP \n", "13 F_51t8iV7OaMNIFUJ \n", "\n", " Q55_Name \\\n", "0 Upload here the file: conditionB_data: - Name \n", "1 {\"ImportId\":\"QID81_FILE_NAME\"} \n", "2 conditionB_data.xlsx \n", "3 conditionB_data.xlsx \n", "4 conditionB_data.xlsx \n", "6 NaN \n", "7 conditionB_data.xlsx \n", "8 conditionB_data.xlsx \n", "9 conditionB_data.xlsx \n", "10 conditionB_data.xlsx \n", "11 conditionB_data.xlsx \n", "12 conditionB_data.xlsx \n", "13 conditionB_data.xlsx \n", "\n", " Q55_Size \\\n", "0 Upload here the file: conditionB_data: - Size \n", "1 {\"ImportId\":\"QID81_FILE_SIZE\"} \n", "2 16717 \n", "3 18395 \n", "4 30026 \n", "6 NaN \n", "7 21712 \n", "8 38478 \n", "9 29063 \n", "10 46333 \n", "11 22760 \n", "12 41654 \n", "13 30758 \n", "\n", " Q55_Type \\\n", "0 Upload here the file: conditionB_data: - Type \n", "1 {\"ImportId\":\"QID81_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "6 NaN \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "\n", " Q58_Id ... \\\n", "0 Upload here the file: postSession_data - Id ... \n", "1 {\"ImportId\":\"QID84_FILE_ID\"} ... \n", "2 F_ePByRzaAVaOdqyR ... \n", "3 F_2zcm7rZg3TZq0kc ... \n", "4 F_22Qyl5JLbTK82Qj ... \n", "6 F_1oe7N1vWJyDmcB7 ... \n", "7 F_1FPW6cNPcdeHRxv ... \n", "8 F_2eaF3u6IXZD4w79 ... \n", "9 F_1FeMbdKjHRdIPdB ... \n", "10 F_OKhNwI1hKsv5cpb ... \n", "11 F_6Khz619imjkVwLn ... \n", "12 F_2qdAPCN3gmfOuUo ... \n", "13 F_2rJbituvRI5gej3 ... \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 -4 \n", "3 3 \n", "4 2 \n", "6 0 \n", "7 4 \n", "8 2 \n", "9 3 \n", "10 -1 \n", "11 3 \n", "12 3 \n", "13 3 \n", "\n", " Q53_1 \\\n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 0 \n", "3 5 \n", "4 3 \n", "6 3 \n", "7 4 \n", "8 2 \n", "9 5 \n", "10 2 \n", "11 3 \n", "12 3 \n", "13 4 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "6 4 \n", "7 5 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 5 \n", "4 6 \n", "6 3 \n", "7 6 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 6 \n", "3 5 \n", "4 4 \n", "6 5 \n", "7 5 \n", "8 5 \n", "9 7 \n", "10 4 \n", "11 7 \n", "12 6 \n", "13 5 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 6 \n", "3 4 \n", "4 3 \n", "6 5 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 4 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 6 \n", "8 5 \n", "9 7 \n", "10 3 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q55_1.1 \\\n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 4 \n", "8 6 \n", "9 6 \n", "10 4 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q27 \\\n", "0 What did you like most about the system? \n", "1 {\"ImportId\":\"QID89_TEXT\"} \n", "2 I liked the training part en the way in which ... \n", "3 The tips about how to approach and do the conv... \n", "4 I like that I could help bullied children \n", "6 The system provided a hint to continue the con... \n", "7 I have gained new skills on how to deal with b... \n", "8 The tips that are given and the explaition of ... \n", "9 It gives me the necessary resources to help th... \n", "10 it knows about the situations it's in, it does... \n", "11 clear layout \n", "12 it helps and get very well data \n", "13 I liked how simple and user-friendly it is. Th... \n", "\n", " Q28 \n", "0 What did you like least about the system? \n", "1 {\"ImportId\":\"QID90_TEXT\"} \n", "2 Sometimes the system seems to not understand w... \n", "3 Could be a little more specific and give examples \n", "4 The answers were not always relevant to my que... \n", "6 There was a repetitive answer! \n", "7 The pop-up instructions \n", "8 The chatbot doesn't understand everything I wa... \n", "9 I dont have anything I dont like about the system \n", "10 most of the time the system repeated itself, i... \n", "11 inconsistent responses \n", "12 it should be improved with a great the llm model \n", "13 Not every question I asked received an appropr... \n", "\n", "[13 rows x 30 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "control = control.dropna(thresh=2) \n", "control = control.drop(index=5)\n", "control" ] }, { "cell_type": "code", "execution_count": 12, "id": "5dbf3021", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P2YesYesYesYesYesYesYesYesYes...University Bachelors Degree153431025
3P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
4P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
5P4YesYesYesYesYesYesYesYesYes...University Bachelors Degree344444444
6P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
7P6YesYesYesYesYesYesYesYesYes...University Bachelors Degree324342215
9P12YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
10P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
11P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
12P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
13P14YesYesYesYesYesYesYesYesYes...University Bachelors Degree222330104
14P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
15P22YesYesYesYesYesYesYesYesYes...Vocational or Similar355553335
16P16YesYesYesYesYesYesYesYesYes...University Bachelors Degree012031014
17P8YesYesYesYesYesYesYesYesYes...University Bachelors Degree3531530-15
18P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
19P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
20P18YesYesYesYesYesYesYesYesYes...University Bachelors Degree12333-1125
21P26YesYesYesYesYesYesYesYesYes...University Bachelors Degree505-553045
22P20YesYesYesYesYesYesYesYesYes...University Bachelors Degree133234344
23P30YesYesYesYesYesYesYesYesYes...Completed secondary school113332334
24P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
\n", "

24 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P1 \n", "4 P25 \n", "5 P4 \n", "6 P9 \n", "7 P6 \n", "9 P12 \n", "10 P11 \n", "11 P13 \n", "12 P5 \n", "13 P14 \n", "14 P15 \n", "15 P22 \n", "16 P16 \n", "17 P8 \n", "18 P3 \n", "19 P29 \n", "20 P18 \n", "21 P26 \n", "22 P20 \n", "23 P30 \n", "24 P23 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "13 Yes ... \n", "14 Yes ... \n", "15 Yes ... \n", "16 Yes ... \n", "17 Yes ... \n", "18 Yes ... \n", "19 Yes ... \n", "20 Yes ... \n", "21 Yes ... \n", "22 Yes ... \n", "23 Yes ... \n", "24 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 Graduate or professional degree (MA, MS, MBA, ... \n", "5 University Bachelors Degree \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "9 Graduate or professional degree (MA, MS, MBA, ... \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "13 University Bachelors Degree \n", "14 Prefer not to say \n", "15 Vocational or Similar \n", "16 University Bachelors Degree \n", "17 University Bachelors Degree \n", "18 University Bachelors Degree \n", "19 University Bachelors Degree \n", "20 University Bachelors Degree \n", "21 University Bachelors Degree \n", "22 University Bachelors Degree \n", "23 Completed secondary school \n", "24 Some university but no degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 2 \n", "5 3 \n", "6 1 \n", "7 3 \n", "9 0 \n", "10 -2 \n", "11 3 \n", "12 3 \n", "13 2 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 3 \n", "18 2 \n", "19 -2 \n", "20 1 \n", "21 5 \n", "22 1 \n", "23 1 \n", "24 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 1 \n", "7 2 \n", "9 0 \n", "10 2 \n", "11 2 \n", "12 4 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 1 \n", "17 5 \n", "18 2 \n", "19 3 \n", "20 2 \n", "21 0 \n", "22 3 \n", "23 1 \n", "24 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 1 \n", "4 1 \n", "5 4 \n", "6 3 \n", "7 4 \n", "9 3 \n", "10 1 \n", "11 1 \n", "12 5 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 2 \n", "17 3 \n", "18 2 \n", "19 2 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 -1 \n", "4 4 \n", "5 4 \n", "6 2 \n", "7 3 \n", "9 3 \n", "10 3 \n", "11 0 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 0 \n", "17 1 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 -5 \n", "22 2 \n", "23 3 \n", "24 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 2 \n", "7 4 \n", "9 3 \n", "10 3 \n", "11 3 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 3 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "9 1 \n", "10 2 \n", "11 0 \n", "12 4 \n", "13 0 \n", "14 0 \n", "15 3 \n", "16 1 \n", "17 3 \n", "18 2 \n", "19 3 \n", "20 -1 \n", "21 3 \n", "22 4 \n", "23 2 \n", "24 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "9 0 \n", "10 1 \n", "11 3 \n", "12 3 \n", "13 1 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 0 \n", "18 3 \n", "19 -2 \n", "20 1 \n", "21 0 \n", "22 3 \n", "23 3 \n", "24 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 2 \n", "3 4 \n", "4 3 \n", "5 4 \n", "6 2 \n", "7 1 \n", "9 2 \n", "10 4 \n", "11 1 \n", "12 4 \n", "13 0 \n", "14 2 \n", "15 3 \n", "16 1 \n", "17 -1 \n", "18 3 \n", "19 3 \n", "20 2 \n", "21 4 \n", "22 4 \n", "23 3 \n", "24 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "5 4 \n", "6 4 \n", "7 5 \n", "9 1 \n", "10 4 \n", "11 2 \n", "12 5 \n", "13 4 \n", "14 4 \n", "15 5 \n", "16 4 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 5 \n", "21 5 \n", "22 4 \n", "23 4 \n", "24 3 \n", "\n", "[24 rows x 26 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#They do not overcome with completed post (p7, p17)\n", "pre_data = pre_data.drop(index=[8, 26])\n", "pre_data" ] }, { "cell_type": "code", "execution_count": 13, "id": "ec604e74", "metadata": {}, "outputs": [], "source": [ "#typo in ID Number\n", "control.iloc[11, 0] = 'p29'" ] }, { "cell_type": "code", "execution_count": 14, "id": "51bb3869", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q54_IdQ54_NameQ54_SizeQ54_TypeQ55_IdQ55_NameQ55_SizeQ55_TypeQ58_Id...Q54_1Q53_1Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1Q27Q28
0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: conditionB_data: - IdUpload here the file: conditionB_data: - NameUpload here the file: conditionB_data: - SizeUpload here the file: conditionB_data: - TypeUpload here the file: postSession_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
1{\"ImportId\":\"QID87_TEXT\"}{\"ImportId\":\"QID80_FILE_ID\"}{\"ImportId\":\"QID80_FILE_NAME\"}{\"ImportId\":\"QID80_FILE_SIZE\"}{\"ImportId\":\"QID80_FILE_TYPE\"}{\"ImportId\":\"QID81_FILE_ID\"}{\"ImportId\":\"QID81_FILE_NAME\"}{\"ImportId\":\"QID81_FILE_SIZE\"}{\"ImportId\":\"QID81_FILE_TYPE\"}{\"ImportId\":\"QID84_FILE_ID\"}...{\"ImportId\":\"QID67_1\"}{\"ImportId\":\"QID66_1\"}{\"ImportId\":\"QID58_1\"}{\"ImportId\":\"QID59_1\"}{\"ImportId\":\"QID60_1\"}{\"ImportId\":\"QID61_1\"}{\"ImportId\":\"QID62_1\"}{\"ImportId\":\"QID63_1\"}{\"ImportId\":\"QID89_TEXT\"}{\"ImportId\":\"QID90_TEXT\"}
2p1F_3h5X0PtCBnH3lQXpreSession_data.xlsx24563application/vnd.openxmlformats-officedocument....F_1GK6DLbDDluH1bnconditionB_data.xlsx16717application/vnd.openxmlformats-officedocument....F_ePByRzaAVaOdqyR...-40466665I liked the training part en the way in which ...Sometimes the system seems to not understand w...
3p25F_2TuD4FU5NadI4rFpreSession_data.xlsx19140application/vnd.openxmlformats-officedocument....F_2fJpF68sLtSnxT5conditionB_data.xlsx18395application/vnd.openxmlformats-officedocument....F_2zcm7rZg3TZq0kc...35555444The tips about how to approach and do the conv...Could be a little more specific and give examples
4P9F_Bs4203WInxTMACZpreSession_data.xlsx19592application/vnd.openxmlformats-officedocument....F_1jZWUFWJffkzNHLconditionB_data.xlsx30026application/vnd.openxmlformats-officedocument....F_22Qyl5JLbTK82Qj...23464355I like that I could help bullied childrenThe answers were not always relevant to my que...
6P12F_2tKaa1Ub2iuhGvnUnconfirmed%20286673.crdownload23957application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_1oe7N1vWJyDmcB7...03435533The system provided a hint to continue the con...There was a repetitive answer!
7p11F_3J5exG79unVOxLWpreSession_data.xlsx18329application/vnd.openxmlformats-officedocument....F_3imc0SNZ8fDj1auconditionB_data.xlsx21712application/vnd.openxmlformats-officedocument....F_1FPW6cNPcdeHRxv...44565664I have gained new skills on how to deal with b...The pop-up instructions
8P13F_vUIR9TzjXS08MeJpreSession_data.xlsx19589application/vnd.openxmlformats-officedocument....F_w4QBr3d6PLcB1JLconditionB_data.xlsx38478application/vnd.openxmlformats-officedocument....F_2eaF3u6IXZD4w79...22665756The tips that are given and the explaition of ...The chatbot doesn't understand everything I wa...
9P5F_3iI6D4FMKzFBEpipreSession_data.xlsx20214application/vnd.openxmlformats-officedocument....F_YWdoFBzOTe3caDDconditionB_data.xlsx29063application/vnd.openxmlformats-officedocument....F_1FeMbdKjHRdIPdB...35777676It gives me the necessary resources to help th...I dont have anything I dont like about the system
10P15F_1jJrf5nvTS0kiYApreSession_data.xlsx35003application/vnd.openxmlformats-officedocument....F_1FbRakaKnMsoTzGconditionB_data.xlsx46333application/vnd.openxmlformats-officedocument....F_OKhNwI1hKsv5cpb...-12554534it knows about the situations it's in, it does...most of the time the system repeated itself, i...
11P3F_12amoKR3Qh54CPppreSession_data.xlsx18856application/vnd.openxmlformats-officedocument....F_1mgA7zYw1NThEb7conditionB_data.xlsx22760application/vnd.openxmlformats-officedocument....F_6Khz619imjkVwLn...33667666clear layoutinconsistent responses
12p29F_11i89REvyWtyQCepreSession_data.xlsx21180application/vnd.openxmlformats-officedocument....F_1Q4ly9iJfX6O5DPconditionB_data.xlsx41654application/vnd.openxmlformats-officedocument....F_2qdAPCN3gmfOuUo...33666666it helps and get very well datait should be improved with a great the llm model
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Id \n", "1 {\"ImportId\":\"QID81_FILE_ID\"} \n", "2 F_1GK6DLbDDluH1bn \n", "3 F_2fJpF68sLtSnxT5 \n", "4 F_1jZWUFWJffkzNHL \n", "6 NaN \n", "7 F_3imc0SNZ8fDj1au \n", "8 F_w4QBr3d6PLcB1JL \n", "9 F_YWdoFBzOTe3caDD \n", "10 F_1FbRakaKnMsoTzG \n", "11 F_1mgA7zYw1NThEb7 \n", "12 F_1Q4ly9iJfX6O5DP \n", "13 F_51t8iV7OaMNIFUJ \n", "\n", " Q55_Name \\\n", "0 Upload here the file: conditionB_data: - Name \n", "1 {\"ImportId\":\"QID81_FILE_NAME\"} \n", "2 conditionB_data.xlsx \n", "3 conditionB_data.xlsx \n", "4 conditionB_data.xlsx \n", "6 NaN \n", "7 conditionB_data.xlsx \n", "8 conditionB_data.xlsx \n", "9 conditionB_data.xlsx \n", "10 conditionB_data.xlsx \n", "11 conditionB_data.xlsx \n", "12 conditionB_data.xlsx \n", "13 conditionB_data.xlsx \n", "\n", " Q55_Size \\\n", "0 Upload here the file: conditionB_data: - Size \n", "1 {\"ImportId\":\"QID81_FILE_SIZE\"} \n", "2 16717 \n", "3 18395 \n", "4 30026 \n", "6 NaN \n", "7 21712 \n", "8 38478 \n", "9 29063 \n", "10 46333 \n", "11 22760 \n", "12 41654 \n", "13 30758 \n", "\n", " Q55_Type \\\n", "0 Upload here the file: conditionB_data: - Type \n", "1 {\"ImportId\":\"QID81_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "6 NaN \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "\n", " Q58_Id ... \\\n", "0 Upload here the file: postSession_data - Id ... \n", "1 {\"ImportId\":\"QID84_FILE_ID\"} ... \n", "2 F_ePByRzaAVaOdqyR ... \n", "3 F_2zcm7rZg3TZq0kc ... \n", "4 F_22Qyl5JLbTK82Qj ... \n", "6 F_1oe7N1vWJyDmcB7 ... \n", "7 F_1FPW6cNPcdeHRxv ... \n", "8 F_2eaF3u6IXZD4w79 ... \n", "9 F_1FeMbdKjHRdIPdB ... \n", "10 F_OKhNwI1hKsv5cpb ... \n", "11 F_6Khz619imjkVwLn ... \n", "12 F_2qdAPCN3gmfOuUo ... \n", "13 F_2rJbituvRI5gej3 ... \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 -4 \n", "3 3 \n", "4 2 \n", "6 0 \n", "7 4 \n", "8 2 \n", "9 3 \n", "10 -1 \n", "11 3 \n", "12 3 \n", "13 3 \n", "\n", " Q53_1 \\\n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 0 \n", "3 5 \n", "4 3 \n", "6 3 \n", "7 4 \n", "8 2 \n", "9 5 \n", "10 2 \n", "11 3 \n", "12 3 \n", "13 4 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "6 4 \n", "7 5 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 5 \n", "4 6 \n", "6 3 \n", "7 6 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 6 \n", "3 5 \n", "4 4 \n", "6 5 \n", "7 5 \n", "8 5 \n", "9 7 \n", "10 4 \n", "11 7 \n", "12 6 \n", "13 5 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 6 \n", "3 4 \n", "4 3 \n", "6 5 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 4 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 6 \n", "8 5 \n", "9 7 \n", "10 3 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q55_1.1 \\\n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 4 \n", "8 6 \n", "9 6 \n", "10 4 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q27 \\\n", "0 What did you like most about the system? \n", "1 {\"ImportId\":\"QID89_TEXT\"} \n", "2 I liked the training part en the way in which ... \n", "3 The tips about how to approach and do the conv... \n", "4 I like that I could help bullied children \n", "6 The system provided a hint to continue the con... \n", "7 I have gained new skills on how to deal with b... \n", "8 The tips that are given and the explaition of ... \n", "9 It gives me the necessary resources to help th... \n", "10 it knows about the situations it's in, it does... \n", "11 clear layout \n", "12 it helps and get very well data \n", "13 I liked how simple and user-friendly it is. Th... \n", "\n", " Q28 \n", "0 What did you like least about the system? \n", "1 {\"ImportId\":\"QID90_TEXT\"} \n", "2 Sometimes the system seems to not understand w... \n", "3 Could be a little more specific and give examples \n", "4 The answers were not always relevant to my que... \n", "6 There was a repetitive answer! \n", "7 The pop-up instructions \n", "8 The chatbot doesn't understand everything I wa... \n", "9 I dont have anything I dont like about the system \n", "10 most of the time the system repeated itself, i... \n", "11 inconsistent responses \n", "12 it should be improved with a great the llm model \n", "13 Not every question I asked received an appropr... \n", "\n", "[13 rows x 30 columns]" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "control" ] }, { "cell_type": "markdown", "id": "b66eb265", "metadata": {}, "source": [ "# Demographic Data" ] }, { "cell_type": "code", "execution_count": 15, "id": "e067f9d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Q50', 'Q10', 'Q14', 'Q15', 'Q16', 'Q17', 'Q18', 'Q19', 'Q20', 'Q21',\n", " 'Q23', 'Q24', 'Q25', 'Q26', 'Q1', 'Q2', 'Q3', 'Q28_1', 'Q29_1', 'Q30_1',\n", " 'Q31_1', 'Q32_1', 'Q33_1', 'Q34_1', 'Q36_1', 'Q37_1'],\n", " dtype='object')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Visualize Gender, Age-Group , degree\n", "pre_data.columns" ] }, { "cell_type": "code", "execution_count": 16, "id": "4a059530", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 What is the highest level of education you hav...\n", "1 {\"ImportId\":\"QID3\"}\n", "2 University Bachelors Degree\n", "3 Graduate or professional degree (MA, MS, MBA, ...\n", "4 Graduate or professional degree (MA, MS, MBA, ...\n", "5 University Bachelors Degree\n", "6 University Bachelors Degree\n", "7 University Bachelors Degree\n", "9 Graduate or professional degree (MA, MS, MBA, ...\n", "10 University Bachelors Degree\n", "11 University Bachelors Degree\n", "12 Some university but no degree\n", "13 University Bachelors Degree\n", "14 Prefer not to say\n", "15 Vocational or Similar\n", "16 University Bachelors Degree\n", "17 University Bachelors Degree\n", "18 University Bachelors Degree\n", "19 University Bachelors Degree\n", "20 University Bachelors Degree\n", "21 University Bachelors Degree\n", "22 University Bachelors Degree\n", "23 Completed secondary school\n", "24 Some university but no degree\n", "Name: Q3, dtype: object" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_data['Q3']" ] }, { "cell_type": "code", "execution_count": 17, "id": "f10956cb", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 How do you describe yourself? - Selected Choice\n", "1 {\"ImportId\":\"QID6\"}\n", "2 Female\n", "3 Female\n", "4 Female\n", "5 Female\n", "6 Female\n", "7 Female\n", "9 Female\n", "10 Male\n", "11 Male\n", "12 Male\n", "13 Female\n", "14 Male\n", "15 Female\n", "16 Male\n", "17 Male\n", "18 Female\n", "19 Male\n", "20 Male\n", "21 Female\n", "22 Female\n", "23 Female\n", "24 Female\n", "Name: Q2, dtype: object" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_data['Q2']" ] }, { "cell_type": "code", "execution_count": 18, "id": "18b846d0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 How old are you?\n", "1 {\"ImportId\":\"QID4\"}\n", "2 25-34 years old\n", "3 18-24 years old\n", "4 25-34 years old\n", "5 25-34 years old\n", "6 55-64 years old\n", "7 18-24 years old\n", "9 35-44 years old\n", "10 25-34 years old\n", "11 25-34 years old\n", "12 18-24 years old\n", "13 25-34 years old\n", "14 18-24 years old\n", "15 25-34 years old\n", "16 65+ years old\n", "17 18-24 years old\n", "18 18-24 years old\n", "19 25-34 years old\n", "20 55-64 years old\n", "21 25-34 years old\n", "22 25-34 years old\n", "23 35-44 years old\n", "24 18-24 years old\n", "Name: Q1, dtype: object" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_data['Q1']" ] }, { "cell_type": "code", "execution_count": 19, "id": "4c5f23cb", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":33: UserWarning: Tight layout not applied. The bottom and top margins cannot be made large enough to accommodate all axes decorations. \n", " plt.tight_layout(pad=3.0) # Adjust padding to control spacing\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Exclude the first two rows\n", "pre_data_excluded = pre_data.iloc[2:]\n", "\n", "# Set up the plot size\n", "plt.figure(figsize=(10, 6))\n", "\n", "# Plot bar chart for Q2 (Gender)\n", "plt.subplot(1, 3, 1) # Second subplot in a 1x3 grid\n", "sns.countplot(data=pre_data_excluded, x='Q2')\n", "plt.title('Gender Distribution')\n", "plt.xlabel('Gender')\n", "plt.ylabel('Count')\n", "plt.xticks(rotation=90) # Make x-axis labels vertical\n", "\n", "# Plot bar chart for Q1 (Age Group)\n", "plt.subplot(1, 3, 2) # First subplot in a 1x3 grid\n", "sns.countplot(data=pre_data_excluded, x='Q1')\n", "plt.title('Age Group Distribution')\n", "plt.xlabel('Age Group')\n", "plt.ylabel('Count')\n", "plt.xticks(rotation=90) # Make x-axis labels vertical\n", "\n", "\n", "# Plot bar chart for Q3 (Degree)\n", "plt.subplot(1, 3, 3) # Third subplot in a 1x3 grid\n", "sns.countplot(data=pre_data_excluded, x='Q3')\n", "plt.title('Degree Distribution')\n", "plt.xlabel('Degree')\n", "plt.ylabel('Count')\n", "plt.xticks(rotation=90) # Make x-axis labels vertical\n", "\n", "# Adjust layout to increase space between plots\n", "plt.tight_layout(pad=3.0) # Adjust padding to control spacing\n", "plt.subplots_adjust(wspace=0.4) # Increase horizontal space between subplots\n", "\n", "plt.savefig('Demographics.png', format='png', bbox_inches='tight')\n", "\n", "# Show the plot\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 20, "id": "ead12b86", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Exclude the first two rows\n", "pre_data_excluded = pre_data.iloc[2:]\n", "\n", "# Set up the plot size (reduced size for a standard display)\n", "plt.figure(figsize=(12, 8)) # Adjusted to a smaller size\n", "\n", "# Plot bar chart for Q2 (Gender)\n", "plt.subplot(1, 3, 1) # First subplot in a 1x3 grid\n", "ax1 = sns.countplot(data=pre_data_excluded, x='Q2')\n", "total = len(pre_data_excluded)\n", "for p in ax1.patches:\n", " percentage = f'{100 * p.get_height() / total:.1f}%' # Fixed percentage calculation\n", " ax1.annotate(percentage, (p.get_x() + p.get_width() / 2., p.get_height()), \n", " ha='center', va='center', fontsize=9, color='black', xytext=(0, 5), \n", " textcoords='offset points')\n", "plt.title('Gender Distribution', fontsize=12)\n", "plt.xlabel('Gender', fontsize=10)\n", "plt.ylabel('Number of Participants', fontsize=10)\n", "plt.xticks(rotation=90, fontsize=9)\n", "\n", "# Plot bar chart for Q1 (Age Group)\n", "plt.subplot(1, 3, 2) # Second subplot in a 1x3 grid\n", "ax2 = sns.countplot(data=pre_data_excluded, x='Q1')\n", "total = len(pre_data_excluded)\n", "for p in ax2.patches:\n", " percentage = f'{100 * p.get_height() / total:.1f}%' # Fixed percentage calculation\n", " ax2.annotate(percentage, (p.get_x() + p.get_width() / 2., p.get_height()), \n", " ha='center', va='center', fontsize=9, color='black', xytext=(0, 5), \n", " textcoords='offset points')\n", "plt.title('Age Group Distribution', fontsize=12)\n", "plt.xlabel('Age Group', fontsize=10)\n", "plt.ylabel('Number of Participants', fontsize=10)\n", "plt.xticks(rotation=90, fontsize=9)\n", "\n", "# Plot bar chart for Q3 (Degree)\n", "plt.subplot(1, 3, 3) # Third subplot in a 1x3 grid\n", "ax3 = sns.countplot(data=pre_data_excluded, x='Q3')\n", "total = len(pre_data_excluded)\n", "for p in ax3.patches:\n", " percentage = f'{100 * p.get_height() / total:.1f}%' # Fixed percentage calculation\n", " ax3.annotate(percentage, (p.get_x() + p.get_width() / 2., p.get_height()), \n", " ha='center', va='center', fontsize=9, color='black', xytext=(0, 5), \n", " textcoords='offset points')\n", "plt.title('Degree Distribution', fontsize=12)\n", "plt.xlabel('Degree', fontsize=10)\n", "plt.ylabel('Number of Participants', fontsize=10)\n", "\n", "# Change the x-axis labels\n", "new_labels = ['Bachelor\\'s Degree', 'Graduate/Professional', 'Some University', \n", " 'Prefer Not to Say', 'Vocational', 'Secondary School'] # Shortened labels\n", "ax3.set_xticklabels(new_labels, fontsize=9)\n", "plt.xticks(rotation=90, fontsize=9)\n", "\n", "# Adjust layout for clarity\n", "plt.tight_layout(pad=2.0) # Reduced padding\n", "plt.subplots_adjust(wspace=0.4) # Increased spacing between subplots\n", "\n", "# Save and show the plot\n", "plt.savefig('Demographics_with_percentages.png', format='png', bbox_inches='tight', dpi=300) # Higher DPI for better quality\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 91, "id": "a6739d1b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Unique values in Q1 (Age Group): ['How old are you?' '{\"ImportId\":\"QID4\"}' '25-34 years old'\n", " '18-24 years old' '55-64 years old' '35-44 years old' '65+ years old']\n", "Unique values in Q2 (Gender): ['How do you describe yourself? - Selected Choice' '{\"ImportId\":\"QID6\"}'\n", " 'Female' 'Male']\n", "Unique values in Q3 (Degree): ['What is the highest level of education you have completed?'\n", " '{\"ImportId\":\"QID3\"}' 'University Bachelors Degree'\n", " 'Graduate or professional degree (MA, MS, MBA, PhD, JD, MD, DDS etc.)'\n", " 'Some university but no degree' 'Prefer not to say'\n", " 'Vocational or Similar' 'Completed secondary school']\n" ] } ], "source": [ "unique_q1 = pre_data['Q1'].unique()\n", "unique_q2 = pre_data['Q2'].unique()\n", "unique_q3 = pre_data['Q3'].unique()\n", "\n", "print(\"Unique values in Q1 (Age Group):\", unique_q1)\n", "print(\"Unique values in Q2 (Gender):\", unique_q2)\n", "print(\"Unique values in Q3 (Degree):\", unique_q3)" ] }, { "cell_type": "code", "execution_count": 92, "id": "77be0d18", "metadata": {}, "outputs": [], "source": [ "control.iloc[5, 0] = 'p27'" ] }, { "cell_type": "code", "execution_count": 93, "id": "7e470546", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q54_IdQ54_NameQ54_SizeQ54_TypeQ55_IdQ55_NameQ55_SizeQ55_TypeQ58_Id...Q54_1Q53_1Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1Q27Q28
0Enter your participant IDUpload the file: preSession_data - IdUpload the file: preSession_data - NameUpload the file: preSession_data - SizeUpload the file: preSession_data - TypeUpload here the file: conditionB_data: - IdUpload here the file: conditionB_data: - NameUpload here the file: conditionB_data: - SizeUpload here the file: conditionB_data: - TypeUpload here the file: postSession_data - Id...I can summarise key points in a conversation w...I can show a child empathy - 1The system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...What did you like most about the system?What did you like least about the system?
1{\"ImportId\":\"QID87_TEXT\"}{\"ImportId\":\"QID80_FILE_ID\"}{\"ImportId\":\"QID80_FILE_NAME\"}{\"ImportId\":\"QID80_FILE_SIZE\"}{\"ImportId\":\"QID80_FILE_TYPE\"}{\"ImportId\":\"QID81_FILE_ID\"}{\"ImportId\":\"QID81_FILE_NAME\"}{\"ImportId\":\"QID81_FILE_SIZE\"}{\"ImportId\":\"QID81_FILE_TYPE\"}{\"ImportId\":\"QID84_FILE_ID\"}...{\"ImportId\":\"QID67_1\"}{\"ImportId\":\"QID66_1\"}{\"ImportId\":\"QID58_1\"}{\"ImportId\":\"QID59_1\"}{\"ImportId\":\"QID60_1\"}{\"ImportId\":\"QID61_1\"}{\"ImportId\":\"QID62_1\"}{\"ImportId\":\"QID63_1\"}{\"ImportId\":\"QID89_TEXT\"}{\"ImportId\":\"QID90_TEXT\"}
2p1F_3h5X0PtCBnH3lQXpreSession_data.xlsx24563application/vnd.openxmlformats-officedocument....F_1GK6DLbDDluH1bnconditionB_data.xlsx16717application/vnd.openxmlformats-officedocument....F_ePByRzaAVaOdqyR...-40466665I liked the training part en the way in which ...Sometimes the system seems to not understand w...
3p25F_2TuD4FU5NadI4rFpreSession_data.xlsx19140application/vnd.openxmlformats-officedocument....F_2fJpF68sLtSnxT5conditionB_data.xlsx18395application/vnd.openxmlformats-officedocument....F_2zcm7rZg3TZq0kc...35555444The tips about how to approach and do the conv...Could be a little more specific and give examples
4P9F_Bs4203WInxTMACZpreSession_data.xlsx19592application/vnd.openxmlformats-officedocument....F_1jZWUFWJffkzNHLconditionB_data.xlsx30026application/vnd.openxmlformats-officedocument....F_22Qyl5JLbTK82Qj...23464355I like that I could help bullied childrenThe answers were not always relevant to my que...
6p27F_2tKaa1Ub2iuhGvnUnconfirmed%20286673.crdownload23957application/vnd.openxmlformats-officedocument....NaNNaNNaNNaNF_1oe7N1vWJyDmcB7...03435533The system provided a hint to continue the con...There was a repetitive answer!
7p11F_3J5exG79unVOxLWpreSession_data.xlsx18329application/vnd.openxmlformats-officedocument....F_3imc0SNZ8fDj1auconditionB_data.xlsx21712application/vnd.openxmlformats-officedocument....F_1FPW6cNPcdeHRxv...44565664I have gained new skills on how to deal with b...The pop-up instructions
8P13F_vUIR9TzjXS08MeJpreSession_data.xlsx19589application/vnd.openxmlformats-officedocument....F_w4QBr3d6PLcB1JLconditionB_data.xlsx38478application/vnd.openxmlformats-officedocument....F_2eaF3u6IXZD4w79...22665756The tips that are given and the explaition of ...The chatbot doesn't understand everything I wa...
9P5F_3iI6D4FMKzFBEpipreSession_data.xlsx20214application/vnd.openxmlformats-officedocument....F_YWdoFBzOTe3caDDconditionB_data.xlsx29063application/vnd.openxmlformats-officedocument....F_1FeMbdKjHRdIPdB...35777676It gives me the necessary resources to help th...I dont have anything I dont like about the system
10P15F_1jJrf5nvTS0kiYApreSession_data.xlsx35003application/vnd.openxmlformats-officedocument....F_1FbRakaKnMsoTzGconditionB_data.xlsx46333application/vnd.openxmlformats-officedocument....F_OKhNwI1hKsv5cpb...-12554534it knows about the situations it's in, it does...most of the time the system repeated itself, i...
11P3F_12amoKR3Qh54CPppreSession_data.xlsx18856application/vnd.openxmlformats-officedocument....F_1mgA7zYw1NThEb7conditionB_data.xlsx22760application/vnd.openxmlformats-officedocument....F_6Khz619imjkVwLn...33667666clear layoutinconsistent responses
12p29F_11i89REvyWtyQCepreSession_data.xlsx21180application/vnd.openxmlformats-officedocument....F_1Q4ly9iJfX6O5DPconditionB_data.xlsx41654application/vnd.openxmlformats-officedocument....F_2qdAPCN3gmfOuUo...33666666it helps and get very well datait should be improved with a great the llm model
13p23F_UmR3gDTxzr2DLNLpreSession_data.xlsx20984application/vnd.openxmlformats-officedocument....F_51t8iV7OaMNIFUJconditionB_data.xlsx30758application/vnd.openxmlformats-officedocument....F_2rJbituvRI5gej3...34665466I liked how simple and user-friendly it is. Th...Not every question I asked received an appropr...
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13 rows × 30 columns

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" ], "text/plain": [ " Q25 Q54_Id \\\n", "0 Enter your participant ID Upload the file: preSession_data - Id \n", "1 {\"ImportId\":\"QID87_TEXT\"} {\"ImportId\":\"QID80_FILE_ID\"} \n", "2 p1 F_3h5X0PtCBnH3lQX \n", "3 p25 F_2TuD4FU5NadI4rF \n", "4 P9 F_Bs4203WInxTMACZ \n", "6 p27 F_2tKaa1Ub2iuhGvn \n", "7 p11 F_3J5exG79unVOxLW \n", "8 P13 F_vUIR9TzjXS08MeJ \n", "9 P5 F_3iI6D4FMKzFBEpi \n", "10 P15 F_1jJrf5nvTS0kiYA \n", "11 P3 F_12amoKR3Qh54CPp \n", "12 p29 F_11i89REvyWtyQCe \n", "13 p23 F_UmR3gDTxzr2DLNL \n", "\n", " Q54_Name \\\n", "0 Upload the file: preSession_data - Name \n", "1 {\"ImportId\":\"QID80_FILE_NAME\"} \n", "2 preSession_data.xlsx \n", "3 preSession_data.xlsx \n", "4 preSession_data.xlsx \n", "6 Unconfirmed%20286673.crdownload \n", "7 preSession_data.xlsx \n", "8 preSession_data.xlsx \n", "9 preSession_data.xlsx \n", "10 preSession_data.xlsx \n", "11 preSession_data.xlsx \n", "12 preSession_data.xlsx \n", "13 preSession_data.xlsx \n", "\n", " Q54_Size \\\n", "0 Upload the file: preSession_data - Size \n", "1 {\"ImportId\":\"QID80_FILE_SIZE\"} \n", "2 24563 \n", "3 19140 \n", "4 19592 \n", "6 23957 \n", "7 18329 \n", "8 19589 \n", "9 20214 \n", "10 35003 \n", "11 18856 \n", "12 21180 \n", "13 20984 \n", "\n", " Q54_Type \\\n", "0 Upload the file: preSession_data - Type \n", "1 {\"ImportId\":\"QID80_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "6 application/vnd.openxmlformats-officedocument.... \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "\n", " Q55_Id \\\n", "0 Upload here the file: conditionB_data: - Id \n", "1 {\"ImportId\":\"QID81_FILE_ID\"} \n", "2 F_1GK6DLbDDluH1bn \n", "3 F_2fJpF68sLtSnxT5 \n", "4 F_1jZWUFWJffkzNHL \n", "6 NaN \n", "7 F_3imc0SNZ8fDj1au \n", "8 F_w4QBr3d6PLcB1JL \n", "9 F_YWdoFBzOTe3caDD \n", "10 F_1FbRakaKnMsoTzG \n", "11 F_1mgA7zYw1NThEb7 \n", "12 F_1Q4ly9iJfX6O5DP \n", "13 F_51t8iV7OaMNIFUJ \n", "\n", " Q55_Name \\\n", "0 Upload here the file: conditionB_data: - Name \n", "1 {\"ImportId\":\"QID81_FILE_NAME\"} \n", "2 conditionB_data.xlsx \n", "3 conditionB_data.xlsx \n", "4 conditionB_data.xlsx \n", "6 NaN \n", "7 conditionB_data.xlsx \n", "8 conditionB_data.xlsx \n", "9 conditionB_data.xlsx \n", "10 conditionB_data.xlsx \n", "11 conditionB_data.xlsx \n", "12 conditionB_data.xlsx \n", "13 conditionB_data.xlsx \n", "\n", " Q55_Size \\\n", "0 Upload here the file: conditionB_data: - Size \n", "1 {\"ImportId\":\"QID81_FILE_SIZE\"} \n", "2 16717 \n", "3 18395 \n", "4 30026 \n", "6 NaN \n", "7 21712 \n", "8 38478 \n", "9 29063 \n", "10 46333 \n", "11 22760 \n", "12 41654 \n", "13 30758 \n", "\n", " Q55_Type \\\n", "0 Upload here the file: conditionB_data: - Type \n", "1 {\"ImportId\":\"QID81_FILE_TYPE\"} \n", "2 application/vnd.openxmlformats-officedocument.... \n", "3 application/vnd.openxmlformats-officedocument.... \n", "4 application/vnd.openxmlformats-officedocument.... \n", "6 NaN \n", "7 application/vnd.openxmlformats-officedocument.... \n", "8 application/vnd.openxmlformats-officedocument.... \n", "9 application/vnd.openxmlformats-officedocument.... \n", "10 application/vnd.openxmlformats-officedocument.... \n", "11 application/vnd.openxmlformats-officedocument.... \n", "12 application/vnd.openxmlformats-officedocument.... \n", "13 application/vnd.openxmlformats-officedocument.... \n", "\n", " Q58_Id ... \\\n", "0 Upload here the file: postSession_data - Id ... \n", "1 {\"ImportId\":\"QID84_FILE_ID\"} ... \n", "2 F_ePByRzaAVaOdqyR ... \n", "3 F_2zcm7rZg3TZq0kc ... \n", "4 F_22Qyl5JLbTK82Qj ... \n", "6 F_1oe7N1vWJyDmcB7 ... \n", "7 F_1FPW6cNPcdeHRxv ... \n", "8 F_2eaF3u6IXZD4w79 ... \n", "9 F_1FeMbdKjHRdIPdB ... \n", "10 F_OKhNwI1hKsv5cpb ... \n", "11 F_6Khz619imjkVwLn ... \n", "12 F_2qdAPCN3gmfOuUo ... \n", "13 F_2rJbituvRI5gej3 ... \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 -4 \n", "3 3 \n", "4 2 \n", "6 0 \n", "7 4 \n", "8 2 \n", "9 3 \n", "10 -1 \n", "11 3 \n", "12 3 \n", "13 3 \n", "\n", " Q53_1 \\\n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 0 \n", "3 5 \n", "4 3 \n", "6 3 \n", "7 4 \n", "8 2 \n", "9 5 \n", "10 2 \n", "11 3 \n", "12 3 \n", "13 4 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "6 4 \n", "7 5 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 5 \n", "4 6 \n", "6 3 \n", "7 6 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 6 \n", "3 5 \n", "4 4 \n", "6 5 \n", "7 5 \n", "8 5 \n", "9 7 \n", "10 4 \n", "11 7 \n", "12 6 \n", "13 5 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 6 \n", "3 4 \n", "4 3 \n", "6 5 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 4 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 6 \n", "8 5 \n", "9 7 \n", "10 3 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q55_1.1 \\\n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 4 \n", "8 6 \n", "9 6 \n", "10 4 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q27 \\\n", "0 What did you like most about the system? \n", "1 {\"ImportId\":\"QID89_TEXT\"} \n", "2 I liked the training part en the way in which ... \n", "3 The tips about how to approach and do the conv... \n", "4 I like that I could help bullied children \n", "6 The system provided a hint to continue the con... \n", "7 I have gained new skills on how to deal with b... \n", "8 The tips that are given and the explaition of ... \n", "9 It gives me the necessary resources to help th... \n", "10 it knows about the situations it's in, it does... \n", "11 clear layout \n", "12 it helps and get very well data \n", "13 I liked how simple and user-friendly it is. Th... \n", "\n", " Q28 \n", "0 What did you like least about the system? \n", "1 {\"ImportId\":\"QID90_TEXT\"} \n", "2 Sometimes the system seems to not understand w... \n", "3 Could be a little more specific and give examples \n", "4 The answers were not always relevant to my que... \n", "6 There was a repetitive answer! \n", "7 The pop-up instructions \n", "8 The chatbot doesn't understand everything I wa... \n", "9 I dont have anything I dont like about the system \n", "10 most of the time the system repeated itself, i... \n", "11 inconsistent responses \n", "12 it should be improved with a great the llm model \n", "13 Not every question I asked received an appropr... \n", "\n", "[13 rows x 30 columns]" ] }, "execution_count": 93, "metadata": {}, "output_type": "execute_result" } ], "source": [ "control" ] }, { "cell_type": "markdown", "id": "edaddb22", "metadata": {}, "source": [ "# Pre-Data Separation" ] }, { "cell_type": "code", "execution_count": 94, "id": "824fb264", "metadata": {}, "outputs": [], "source": [ "pre_data.iloc[8, 0] = 'p27'" ] }, { "cell_type": "code", "execution_count": 95, "id": "e798c01d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P2YesYesYesYesYesYesYesYesYes...University Bachelors Degree153431025
3P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
4P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
5P4YesYesYesYesYesYesYesYesYes...University Bachelors Degree344444444
6P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
7P6YesYesYesYesYesYesYesYesYes...University Bachelors Degree324342215
9p27YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
10P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
11P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
12P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
13P14YesYesYesYesYesYesYesYesYes...University Bachelors Degree222330104
14P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
15P22YesYesYesYesYesYesYesYesYes...Vocational or Similar355553335
16P16YesYesYesYesYesYesYesYesYes...University Bachelors Degree012031014
17P8YesYesYesYesYesYesYesYesYes...University Bachelors Degree3531530-15
18P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
19P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
20P18YesYesYesYesYesYesYesYesYes...University Bachelors Degree12333-1125
21P26YesYesYesYesYesYesYesYesYes...University Bachelors Degree505-553045
22P20YesYesYesYesYesYesYesYesYes...University Bachelors Degree133234344
23P30YesYesYesYesYesYesYesYesYes...Completed secondary school113332334
24P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
\n", "

24 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P1 \n", "4 P25 \n", "5 P4 \n", "6 P9 \n", "7 P6 \n", "9 p27 \n", "10 P11 \n", "11 P13 \n", "12 P5 \n", "13 P14 \n", "14 P15 \n", "15 P22 \n", "16 P16 \n", "17 P8 \n", "18 P3 \n", "19 P29 \n", "20 P18 \n", "21 P26 \n", "22 P20 \n", "23 P30 \n", "24 P23 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "13 Yes \n", "14 Yes \n", "15 Yes \n", "16 Yes \n", "17 Yes \n", "18 Yes \n", "19 Yes \n", "20 Yes \n", "21 Yes \n", "22 Yes \n", "23 Yes \n", "24 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "13 Yes ... \n", "14 Yes ... \n", "15 Yes ... \n", "16 Yes ... \n", "17 Yes ... \n", "18 Yes ... \n", "19 Yes ... \n", "20 Yes ... \n", "21 Yes ... \n", "22 Yes ... \n", "23 Yes ... \n", "24 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 Graduate or professional degree (MA, MS, MBA, ... \n", "5 University Bachelors Degree \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "9 Graduate or professional degree (MA, MS, MBA, ... \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "13 University Bachelors Degree \n", "14 Prefer not to say \n", "15 Vocational or Similar \n", "16 University Bachelors Degree \n", "17 University Bachelors Degree \n", "18 University Bachelors Degree \n", "19 University Bachelors Degree \n", "20 University Bachelors Degree \n", "21 University Bachelors Degree \n", "22 University Bachelors Degree \n", "23 Completed secondary school \n", "24 Some university but no degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 2 \n", "5 3 \n", "6 1 \n", "7 3 \n", "9 0 \n", "10 -2 \n", "11 3 \n", "12 3 \n", "13 2 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 3 \n", "18 2 \n", "19 -2 \n", "20 1 \n", "21 5 \n", "22 1 \n", "23 1 \n", "24 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 1 \n", "7 2 \n", "9 0 \n", "10 2 \n", "11 2 \n", "12 4 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 1 \n", "17 5 \n", "18 2 \n", "19 3 \n", "20 2 \n", "21 0 \n", "22 3 \n", "23 1 \n", "24 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 1 \n", "4 1 \n", "5 4 \n", "6 3 \n", "7 4 \n", "9 3 \n", "10 1 \n", "11 1 \n", "12 5 \n", "13 2 \n", "14 1 \n", "15 5 \n", "16 2 \n", "17 3 \n", "18 2 \n", "19 2 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 -1 \n", "4 4 \n", "5 4 \n", "6 2 \n", "7 3 \n", "9 3 \n", "10 3 \n", "11 0 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 0 \n", "17 1 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 -5 \n", "22 2 \n", "23 3 \n", "24 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 2 \n", "7 4 \n", "9 3 \n", "10 3 \n", "11 3 \n", "12 4 \n", "13 3 \n", "14 4 \n", "15 5 \n", "16 3 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 3 \n", "21 5 \n", "22 3 \n", "23 3 \n", "24 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "9 1 \n", "10 2 \n", "11 0 \n", "12 4 \n", "13 0 \n", "14 0 \n", "15 3 \n", "16 1 \n", "17 3 \n", "18 2 \n", "19 3 \n", "20 -1 \n", "21 3 \n", "22 4 \n", "23 2 \n", "24 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 2 \n", "4 2 \n", "5 4 \n", "6 3 \n", "7 2 \n", "9 0 \n", "10 1 \n", "11 3 \n", "12 3 \n", "13 1 \n", "14 2 \n", "15 3 \n", "16 0 \n", "17 0 \n", "18 3 \n", "19 -2 \n", "20 1 \n", "21 0 \n", "22 3 \n", "23 3 \n", "24 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 2 \n", "3 4 \n", "4 3 \n", "5 4 \n", "6 2 \n", "7 1 \n", "9 2 \n", "10 4 \n", "11 1 \n", "12 4 \n", "13 0 \n", "14 2 \n", "15 3 \n", "16 1 \n", "17 -1 \n", "18 3 \n", "19 3 \n", "20 2 \n", "21 4 \n", "22 4 \n", "23 3 \n", "24 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "5 4 \n", "6 4 \n", "7 5 \n", "9 1 \n", "10 4 \n", "11 2 \n", "12 5 \n", "13 4 \n", "14 4 \n", "15 5 \n", "16 4 \n", "17 5 \n", "18 3 \n", "19 3 \n", "20 5 \n", "21 5 \n", "22 4 \n", "23 4 \n", "24 3 \n", "\n", "[24 rows x 26 columns]" ] }, "execution_count": 95, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_data" ] }, { "cell_type": "code", "execution_count": 96, "id": "f18c33e7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Pre-Control Dataset:\n", " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P1 \n", "3 P25 \n", "4 P9 \n", "5 p27 \n", "6 P11 \n", "7 P13 \n", "8 P5 \n", "9 P15 \n", "10 P3 \n", "11 P29 \n", "12 P23 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 Graduate or professional degree (MA, MS, MBA, ... \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 University Bachelors Degree \n", "5 Graduate or professional degree (MA, MS, MBA, ... \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "8 Some university but no degree \n", "9 Prefer not to say \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 3 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 -2 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 2 \n", "11 -2 \n", "12 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 2 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 2 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 3 \n", "12 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 1 \n", "3 1 \n", "4 3 \n", "5 3 \n", "6 1 \n", "7 1 \n", "8 5 \n", "9 1 \n", "10 2 \n", "11 2 \n", "12 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 -1 \n", "3 4 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 0 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 2 \n", "3 2 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 3 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 1 \n", "6 2 \n", "7 0 \n", "8 4 \n", "9 0 \n", "10 2 \n", "11 3 \n", "12 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 0 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 3 \n", "11 -2 \n", "12 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 4 \n", "3 3 \n", "4 2 \n", "5 2 \n", "6 4 \n", "7 1 \n", "8 4 \n", "9 2 \n", "10 3 \n", "11 3 \n", "12 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "5 1 \n", "6 4 \n", "7 2 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", "[13 rows x 26 columns]\n", "\n", "Pre-Intervention Dataset:\n", " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P4 \n", "4 P6 \n", "5 P14 \n", "6 P22 \n", "7 P16 \n", "8 P8 \n", "9 P18 \n", "10 P26 \n", "11 P20 \n", "12 P30 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 University Bachelors Degree \n", "4 University Bachelors Degree \n", "5 University Bachelors Degree \n", "6 Vocational or Similar \n", "7 University Bachelors Degree \n", "8 University Bachelors Degree \n", "9 University Bachelors Degree \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Completed secondary school \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 3 \n", "5 2 \n", "6 3 \n", "7 0 \n", "8 3 \n", "9 1 \n", "10 5 \n", "11 1 \n", "12 1 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 4 \n", "4 2 \n", "5 2 \n", "6 5 \n", "7 1 \n", "8 5 \n", "9 2 \n", "10 0 \n", "11 3 \n", "12 1 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 4 \n", "4 4 \n", "5 2 \n", "6 5 \n", "7 2 \n", "8 3 \n", "9 3 \n", "10 5 \n", "11 3 \n", "12 3 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 0 \n", "8 1 \n", "9 3 \n", "10 -5 \n", "11 2 \n", "12 3 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 4 \n", "4 4 \n", "5 3 \n", "6 5 \n", "7 3 \n", "8 5 \n", "9 3 \n", "10 5 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 4 \n", "4 2 \n", "5 0 \n", "6 3 \n", "7 1 \n", "8 3 \n", "9 -1 \n", "10 3 \n", "11 4 \n", "12 2 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 4 \n", "4 2 \n", "5 1 \n", "6 3 \n", "7 0 \n", "8 0 \n", "9 1 \n", "10 0 \n", "11 3 \n", "12 3 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 2 \n", "3 4 \n", "4 1 \n", "5 0 \n", "6 3 \n", "7 1 \n", "8 -1 \n", "9 2 \n", "10 4 \n", "11 4 \n", "12 3 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "5 4 \n", "6 5 \n", "7 4 \n", "8 5 \n", "9 5 \n", "10 5 \n", "11 4 \n", "12 4 \n", "\n", "[13 rows x 26 columns]\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ ":10: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " pre_data_excluded['P_odd_even'] = pre_data_excluded['Q50'].apply(is_even_or_odd)\n" ] } ], "source": [ "# Exclude the first two rows\n", "pre_data_excluded = pre_data.iloc[2:]\n", "\n", "# Function to check if the number after 'P' is even or odd\n", "def is_even_or_odd(p_value):\n", " number = int(p_value[1:]) # Extract number after 'P' and convert to integer\n", " return 'even' if number % 2 == 0 else 'odd'\n", "\n", "# Apply the function to the first column and create a new column for even/odd classification\n", "pre_data_excluded['P_odd_even'] = pre_data_excluded['Q50'].apply(is_even_or_odd)\n", "\n", "# Split the dataset into two based on even and odd numbers\n", "even_data = pre_data_excluded[pre_data_excluded['P_odd_even'] == 'even']\n", "odd_data = pre_data_excluded[pre_data_excluded['P_odd_even'] == 'odd']\n", "\n", "# Add the first two rows back to each dataset\n", "pre_control = pd.concat([pre_data.iloc[:2], odd_data]).reset_index(drop=True)\n", "pre_intervention = pd.concat([pre_data.iloc[:2], even_data]).reset_index(drop=True)\n", "\n", "# Optionally, drop the helper 'P_odd_even' column if not needed\n", "pre_control = pre_control.drop(columns=['P_odd_even'])\n", "pre_intervention = pre_intervention.drop(columns=['P_odd_even'])\n", "\n", "# Display the final datasets\n", "print(\"Pre-Control Dataset:\\n\", pre_control)\n", "print(\"\\nPre-Intervention Dataset:\\n\", pre_intervention)\n", "\n" ] }, { "cell_type": "code", "execution_count": 97, "id": "da05e9d9", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
3P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
4P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
5p27YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
6P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
7P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
8P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
9P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
10P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
11P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
12P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
\n", "

13 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P1 \n", "3 P25 \n", "4 P9 \n", "5 p27 \n", "6 P11 \n", "7 P13 \n", "8 P5 \n", "9 P15 \n", "10 P3 \n", "11 P29 \n", "12 P23 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 Graduate or professional degree (MA, MS, MBA, ... \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 University Bachelors Degree \n", "5 Graduate or professional degree (MA, MS, MBA, ... \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "8 Some university but no degree \n", "9 Prefer not to say \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 3 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 -2 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 2 \n", "11 -2 \n", "12 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 2 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 2 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 3 \n", "12 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 1 \n", "3 1 \n", "4 3 \n", "5 3 \n", "6 1 \n", "7 1 \n", "8 5 \n", "9 1 \n", "10 2 \n", "11 2 \n", "12 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 -1 \n", "3 4 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 0 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 2 \n", "3 2 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 3 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 1 \n", "6 2 \n", "7 0 \n", "8 4 \n", "9 0 \n", "10 2 \n", "11 3 \n", "12 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 0 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 3 \n", "11 -2 \n", "12 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 4 \n", "3 3 \n", "4 2 \n", "5 2 \n", "6 4 \n", "7 1 \n", "8 4 \n", "9 2 \n", "10 3 \n", "11 3 \n", "12 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "5 1 \n", "6 4 \n", "7 2 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", "[13 rows x 26 columns]" ] }, "execution_count": 97, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_control" ] }, { "cell_type": "code", "execution_count": 98, "id": "ba2f6f1f", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P2YesYesYesYesYesYesYesYesYes...University Bachelors Degree153431025
3P4YesYesYesYesYesYesYesYesYes...University Bachelors Degree344444444
4P6YesYesYesYesYesYesYesYesYes...University Bachelors Degree324342215
5P14YesYesYesYesYesYesYesYesYes...University Bachelors Degree222330104
6P22YesYesYesYesYesYesYesYesYes...Vocational or Similar355553335
7P16YesYesYesYesYesYesYesYesYes...University Bachelors Degree012031014
8P8YesYesYesYesYesYesYesYesYes...University Bachelors Degree3531530-15
9P18YesYesYesYesYesYesYesYesYes...University Bachelors Degree12333-1125
10P26YesYesYesYesYesYesYesYesYes...University Bachelors Degree505-553045
11P20YesYesYesYesYesYesYesYesYes...University Bachelors Degree133234344
12P30YesYesYesYesYesYesYesYesYes...Completed secondary school113332334
\n", "

13 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P2 \n", "3 P4 \n", "4 P6 \n", "5 P14 \n", "6 P22 \n", "7 P16 \n", "8 P8 \n", "9 P18 \n", "10 P26 \n", "11 P20 \n", "12 P30 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 University Bachelors Degree \n", "3 University Bachelors Degree \n", "4 University Bachelors Degree \n", "5 University Bachelors Degree \n", "6 Vocational or Similar \n", "7 University Bachelors Degree \n", "8 University Bachelors Degree \n", "9 University Bachelors Degree \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Completed secondary school \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 1 \n", "3 3 \n", "4 3 \n", "5 2 \n", "6 3 \n", "7 0 \n", "8 3 \n", "9 1 \n", "10 5 \n", "11 1 \n", "12 1 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 5 \n", "3 4 \n", "4 2 \n", "5 2 \n", "6 5 \n", "7 1 \n", "8 5 \n", "9 2 \n", "10 0 \n", "11 3 \n", "12 1 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 3 \n", "3 4 \n", "4 4 \n", "5 2 \n", "6 5 \n", "7 2 \n", "8 3 \n", "9 3 \n", "10 5 \n", "11 3 \n", "12 3 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 4 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 0 \n", "8 1 \n", "9 3 \n", "10 -5 \n", "11 2 \n", "12 3 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 3 \n", "3 4 \n", "4 4 \n", "5 3 \n", "6 5 \n", "7 3 \n", "8 5 \n", "9 3 \n", "10 5 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 1 \n", "3 4 \n", "4 2 \n", "5 0 \n", "6 3 \n", "7 1 \n", "8 3 \n", "9 -1 \n", "10 3 \n", "11 4 \n", "12 2 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 0 \n", "3 4 \n", "4 2 \n", "5 1 \n", "6 3 \n", "7 0 \n", "8 0 \n", "9 1 \n", "10 0 \n", "11 3 \n", "12 3 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 2 \n", "3 4 \n", "4 1 \n", "5 0 \n", "6 3 \n", "7 1 \n", "8 -1 \n", "9 2 \n", "10 4 \n", "11 4 \n", "12 3 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "5 4 \n", "6 5 \n", "7 4 \n", "8 5 \n", "9 5 \n", "10 5 \n", "11 4 \n", "12 4 \n", "\n", "[13 rows x 26 columns]" ] }, "execution_count": 98, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_intervention" ] }, { "cell_type": "code", "execution_count": 99, "id": "7a275446", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Files saved as pre_control.csv and pre_intervention.csv in the current directory.\n" ] } ], "source": [ "# Specify the file paths for saving the datasets in the current directory\n", "pre_control_file = 'pre_control.csv'\n", "pre_intervention_file = 'pre_intervention.csv'\n", "\n", "# Save the datasets as CSV files in the current directory\n", "pre_control.to_csv(pre_control_file, index=False)\n", "pre_intervention.to_csv(pre_intervention_file, index=False)\n", "\n", "# Provide confirmation message\n", "print(f\"Files saved as {pre_control_file} and {pre_intervention_file} in the current directory.\")\n" ] }, { "cell_type": "markdown", "id": "91b4edb0", "metadata": {}, "source": [ "# Measurements Analysis" ] }, { "cell_type": "markdown", "id": "578cf4b2", "metadata": {}, "source": [ "### Extract Columns of Self-Efficacy" ] }, { "cell_type": "code", "execution_count": 100, "id": "1cd6c333", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q10Q14Q15Q16Q17Q18Q19Q20Q21...Q3Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I have read and understood the experiment info...I consent voluntarily to be a participant in e...I understand that I cannot withdraw from parti...I understand that taking part in the experimen...I understand that taking part in the experimen...I understand that when I take part in the expe...I understand that the child is a virtual child...I understand that taking part in the experimen...I understand that the information retrieved du......What is the highest level of education you hav...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"ImportId\":\"QID76\"}{\"ImportId\":\"QID18\"}{\"ImportId\":\"QID22\"}{\"ImportId\":\"QID23\"}{\"ImportId\":\"QID24\"}{\"ImportId\":\"QID25\"}{\"ImportId\":\"QID26\"}{\"ImportId\":\"QID27\"}{\"ImportId\":\"QID28\"}{\"ImportId\":\"QID29\"}...{\"ImportId\":\"QID3\"}{\"ImportId\":\"QID37_1\"}{\"ImportId\":\"QID77_1\"}{\"ImportId\":\"QID38_1\"}{\"ImportId\":\"QID39_1\"}{\"ImportId\":\"QID40_1\"}{\"ImportId\":\"QID41_1\"}{\"ImportId\":\"QID42_1\"}{\"ImportId\":\"QID44_1\"}{\"ImportId\":\"QID45_1\"}
2P1YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...321-122244
3P25YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...221422235
4P9YesYesYesYesYesYesYesYesYes...University Bachelors Degree113223324
5p27YesYesYesYesYesYesYesYesYes...Graduate or professional degree (MA, MS, MBA, ...003331021
6P11YesYesYesYesYesYesYesYesYes...University Bachelors Degree-221332144
7P13YesYesYesYesYesYesYesYesYes...University Bachelors Degree321030312
8P5YesYesYesYesYesYesYesYesYes...Some university but no degree345444345
9P15YesYesYesYesYesYesYesYesYes...Prefer not to say211440224
10P3YesYesYesYesYesYesYesYesYes...University Bachelors Degree222332333
11P29YesYesYesYesYesYesYesYesYes...University Bachelors Degree-232333-233
12P23YesYesYesYesYesYesYesYesYes...Some university but no degree232131243
\n", "

13 rows × 26 columns

\n", "
" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P1 \n", "3 P25 \n", "4 P9 \n", "5 p27 \n", "6 P11 \n", "7 P13 \n", "8 P5 \n", "9 P15 \n", "10 P3 \n", "11 P29 \n", "12 P23 \n", "\n", " Q10 \\\n", "0 I have read and understood the experiment info... \n", "1 {\"ImportId\":\"QID18\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q14 \\\n", "0 I consent voluntarily to be a participant in e... \n", "1 {\"ImportId\":\"QID22\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q15 \\\n", "0 I understand that I cannot withdraw from parti... \n", "1 {\"ImportId\":\"QID23\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q16 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID24\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q17 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID25\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q18 \\\n", "0 I understand that when I take part in the expe... \n", "1 {\"ImportId\":\"QID26\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q19 \\\n", "0 I understand that the child is a virtual child... \n", "1 {\"ImportId\":\"QID27\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q20 \\\n", "0 I understand that taking part in the experimen... \n", "1 {\"ImportId\":\"QID28\"} \n", "2 Yes \n", "3 Yes \n", "4 Yes \n", "5 Yes \n", "6 Yes \n", "7 Yes \n", "8 Yes \n", "9 Yes \n", "10 Yes \n", "11 Yes \n", "12 Yes \n", "\n", " Q21 ... \\\n", "0 I understand that the information retrieved du... ... \n", "1 {\"ImportId\":\"QID29\"} ... \n", "2 Yes ... \n", "3 Yes ... \n", "4 Yes ... \n", "5 Yes ... \n", "6 Yes ... \n", "7 Yes ... \n", "8 Yes ... \n", "9 Yes ... \n", "10 Yes ... \n", "11 Yes ... \n", "12 Yes ... \n", "\n", " Q3 \\\n", "0 What is the highest level of education you hav... \n", "1 {\"ImportId\":\"QID3\"} \n", "2 Graduate or professional degree (MA, MS, MBA, ... \n", "3 Graduate or professional degree (MA, MS, MBA, ... \n", "4 University Bachelors Degree \n", "5 Graduate or professional degree (MA, MS, MBA, ... \n", "6 University Bachelors Degree \n", "7 University Bachelors Degree \n", "8 Some university but no degree \n", "9 Prefer not to say \n", "10 University Bachelors Degree \n", "11 University Bachelors Degree \n", "12 Some university but no degree \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 3 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 -2 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 2 \n", "11 -2 \n", "12 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 2 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 2 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 3 \n", "12 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 1 \n", "3 1 \n", "4 3 \n", "5 3 \n", "6 1 \n", "7 1 \n", "8 5 \n", "9 1 \n", "10 2 \n", "11 2 \n", "12 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 -1 \n", "3 4 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 0 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 2 \n", "3 2 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 3 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 1 \n", "6 2 \n", "7 0 \n", "8 4 \n", "9 0 \n", "10 2 \n", "11 3 \n", "12 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 0 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 3 \n", "11 -2 \n", "12 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 4 \n", "3 3 \n", "4 2 \n", "5 2 \n", "6 4 \n", "7 1 \n", "8 4 \n", "9 2 \n", "10 3 \n", "11 3 \n", "12 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "5 1 \n", "6 4 \n", "7 2 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", "[13 rows x 26 columns]" ] }, "execution_count": 100, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_control" ] }, { "cell_type": "code", "execution_count": 101, "id": "2a21a777", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['Q50', 'Q10', 'Q14', 'Q15', 'Q16', 'Q17', 'Q18', 'Q19', 'Q20', 'Q21',\n", " 'Q23', 'Q24', 'Q25', 'Q26', 'Q1', 'Q2', 'Q3', 'Q28_1', 'Q29_1', 'Q30_1',\n", " 'Q31_1', 'Q32_1', 'Q33_1', 'Q34_1', 'Q36_1', 'Q37_1'],\n", " dtype='object')" ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_control.columns" ] }, { "cell_type": "code", "execution_count": 102, "id": "b29663b5", "metadata": {}, "outputs": [], "source": [ "columns_to_extract = [\n", " 'Q50', 'Q28_1', 'Q29_1', 'Q30_1',\n", " 'Q31_1', 'Q32_1', 'Q33_1',\n", " 'Q34_1', 'Q36_1', 'Q37_1'\n", "]\n", "\n", "\n", "pre_control_SE = pre_control[columns_to_extract]" ] }, { "cell_type": "code", "execution_count": 103, "id": "4c2ca712", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
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2P1321-122244
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4P9113223324
5p27003331021
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7P13321030312
8P5345444345
9P15211440224
10P3222332333
11P29-232333-233
12P23232131243
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" ], "text/plain": [ " Q50 \\\n", "0 Choose your unique participant ID. Write this ... \n", "1 {\"ImportId\":\"QID76\"} \n", "2 P1 \n", "3 P25 \n", "4 P9 \n", "5 p27 \n", "6 P11 \n", "7 P13 \n", "8 P5 \n", "9 P15 \n", "10 P3 \n", "11 P29 \n", "12 P23 \n", "\n", " Q28_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID37_1\"} \n", "2 3 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 -2 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 2 \n", "11 -2 \n", "12 2 \n", "\n", " Q29_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID77_1\"} \n", "2 2 \n", "3 2 \n", "4 1 \n", "5 0 \n", "6 2 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 2 \n", "11 3 \n", "12 3 \n", "\n", " Q30_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID38_1\"} \n", "2 1 \n", "3 1 \n", "4 3 \n", "5 3 \n", "6 1 \n", "7 1 \n", "8 5 \n", "9 1 \n", "10 2 \n", "11 2 \n", "12 2 \n", "\n", " Q31_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID39_1\"} \n", "2 -1 \n", "3 4 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 0 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 1 \n", "\n", " Q32_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID40_1\"} \n", "2 2 \n", "3 2 \n", "4 2 \n", "5 3 \n", "6 3 \n", "7 3 \n", "8 4 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 \n", "\n", " Q33_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID41_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 1 \n", "6 2 \n", "7 0 \n", "8 4 \n", "9 0 \n", "10 2 \n", "11 3 \n", "12 1 \n", "\n", " Q34_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID42_1\"} \n", "2 2 \n", "3 2 \n", "4 3 \n", "5 0 \n", "6 1 \n", "7 3 \n", "8 3 \n", "9 2 \n", "10 3 \n", "11 -2 \n", "12 2 \n", "\n", " Q36_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID44_1\"} \n", "2 4 \n", "3 3 \n", "4 2 \n", "5 2 \n", "6 4 \n", "7 1 \n", "8 4 \n", "9 2 \n", "10 3 \n", "11 3 \n", "12 4 \n", "\n", " Q37_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID45_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "5 1 \n", "6 4 \n", "7 2 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 3 " ] }, "execution_count": 103, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_control_SE" ] }, { "cell_type": "code", "execution_count": 104, "id": "4ebd4995", "metadata": {}, "outputs": [], "source": [ "columns_to_extract = [\n", " 'Q50','Q28_1', 'Q29_1', 'Q30_1',\n", " 'Q31_1', 'Q32_1', 'Q33_1',\n", " 'Q34_1', 'Q36_1', 'Q37_1'\n", "]\n", "\n", "\n", "pre_intervention_SE = pre_intervention[columns_to_extract]" ] }, { "cell_type": "code", "execution_count": 105, "id": "0b6516bb", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q50Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
0Choose your unique participant ID. Write this ...I feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
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9P1812333-1125
10P26505-553045
11P20133234344
12P30113332334
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Q25Q61_1Q60_1Q59_1Q58_1Q57_1Q56_1Q55_1Q54_1Q53_1
0Enter your participant IDI feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
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" ], "text/plain": [ " Q25 \\\n", "0 Enter your participant ID \n", "1 {\"ImportId\":\"QID87_TEXT\"} \n", "2 p2 \n", "3 P4 \n", "4 P6 \n", "5 p14 \n", "6 P22 \n", "7 p16 \n", "8 8 \n", "9 p18 \n", "10 p26 \n", "11 P20 \n", "12 p30 \n", "\n", " Q61_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID74_1\"} \n", "2 4 \n", "3 5 \n", "4 3 \n", "5 3 \n", "6 3 \n", "7 2 \n", "8 5 \n", "9 2 \n", "10 -5 \n", "11 2 \n", "12 1 \n", "\n", " Q60_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID73_1\"} \n", "2 3 \n", "3 5 \n", "4 2 \n", "5 4 \n", "6 5 \n", "7 3 \n", "8 5 \n", "9 3 \n", "10 3 \n", "11 4 \n", "12 4 \n", "\n", " Q59_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID72_1\"} \n", "2 3 \n", "3 5 \n", "4 1 \n", "5 4 \n", "6 0 \n", "7 2 \n", "8 0 \n", "9 3 \n", "10 -5 \n", "11 4 \n", "12 4 \n", "\n", " Q58_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID71_1\"} \n", "2 3 \n", "3 -1 \n", "4 3 \n", "5 4 \n", "6 5 \n", "7 0 \n", "8 3 \n", "9 2 \n", "10 4 \n", "11 3 \n", "12 4 \n", "\n", " Q57_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID70_1\"} \n", "2 4 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 3 \n", "7 2 \n", "8 3 \n", "9 4 \n", "10 4 \n", "11 3 \n", "12 4 \n", "\n", " Q56_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID69_1\"} \n", "2 1 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 4 \n", "7 -1 \n", "8 3 \n", "9 2 \n", "10 -5 \n", "11 3 \n", "12 2 \n", "\n", " Q55_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID68_1\"} \n", "2 3 \n", "3 5 \n", "4 2 \n", "5 2 \n", "6 5 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 3 \n", "11 2 \n", "12 2 \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 3 \n", "3 5 \n", "4 1 \n", "5 3 \n", "6 0 \n", "7 -1 \n", "8 5 \n", "9 -1 \n", "10 3 \n", "11 2 \n", "12 3 \n", "\n", " Q53_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 5 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 4 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 4 " ] }, "execution_count": 135, "metadata": {}, "output_type": "execute_result" } ], "source": [ "post_intervention_SE = intervention[['Q25','Q61_1', 'Q60_1', 'Q59_1', 'Q58_1', 'Q57_1', 'Q56_1',\n", " 'Q55_1', 'Q54_1', 'Q53_1']]\n", "post_intervention_SE" ] }, { "cell_type": "markdown", "id": "a6c6d1d4", "metadata": {}, "source": [ "### Correspond Pre and Post based on Participant ID" ] }, { "cell_type": "code", "execution_count": 136, "id": "5166cb2d", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " pre_intervention_SE['Q50'] = pre_intervention_SE['Q50'].str.lower()\n", ":2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " post_intervention_SE['Q25'] = post_intervention_SE['Q25'].str.lower()\n" ] } ], "source": [ "pre_intervention_SE['Q50'] = pre_intervention_SE['Q50'].str.lower()\n", "post_intervention_SE['Q25'] = post_intervention_SE['Q25'].str.lower()" ] }, { "cell_type": "code", "execution_count": 141, "id": "14c565cb", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\gebruiker\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:1637: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " self._setitem_single_block(indexer, value, name)\n", "C:\\Users\\gebruiker\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:692: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " iloc._setitem_with_indexer(indexer, value, self.name)\n" ] } ], "source": [ "post_intervention_SE.loc[8, 'Q25'] = 'p8'" ] }, { "cell_type": "code", "execution_count": 142, "id": "c0a8e07d", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q61_1Q60_1Q59_1Q58_1Q57_1Q56_1Q55_1Q54_1Q53_1
0enter your participant idI feel that I have enough knowledge to do effe...I feel able to identify a child’s story - 1I feel able to urge a child to expand on their...I feel able to understand a child's reaction t...I am sure I can encourage a child to express t...I am sure I can clarify a child’s relationship...I am sure as to how I will lead a child toward...I can summarise key points in a conversation w...I can show a child empathy - 1
1{\"importid\":\"qid87_text\"}{\"ImportId\":\"QID74_1\"}{\"ImportId\":\"QID73_1\"}{\"ImportId\":\"QID72_1\"}{\"ImportId\":\"QID71_1\"}{\"ImportId\":\"QID70_1\"}{\"ImportId\":\"QID69_1\"}{\"ImportId\":\"QID68_1\"}{\"ImportId\":\"QID67_1\"}{\"ImportId\":\"QID66_1\"}
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" ], "text/plain": [ " Q25 \\\n", "0 enter your participant id \n", "1 {\"importid\":\"qid87_text\"} \n", "2 p2 \n", "3 p4 \n", "4 p6 \n", "5 p14 \n", "6 p22 \n", "7 p16 \n", "8 p8 \n", "9 p18 \n", "10 p26 \n", "11 p20 \n", "12 p30 \n", "\n", " Q61_1 \\\n", "0 I feel that I have enough knowledge to do effe... \n", "1 {\"ImportId\":\"QID74_1\"} \n", "2 4 \n", "3 5 \n", "4 3 \n", "5 3 \n", "6 3 \n", "7 2 \n", "8 5 \n", "9 2 \n", "10 -5 \n", "11 2 \n", "12 1 \n", "\n", " Q60_1 \\\n", "0 I feel able to identify a child’s story - 1 \n", "1 {\"ImportId\":\"QID73_1\"} \n", "2 3 \n", "3 5 \n", "4 2 \n", "5 4 \n", "6 5 \n", "7 3 \n", "8 5 \n", "9 3 \n", "10 3 \n", "11 4 \n", "12 4 \n", "\n", " Q59_1 \\\n", "0 I feel able to urge a child to expand on their... \n", "1 {\"ImportId\":\"QID72_1\"} \n", "2 3 \n", "3 5 \n", "4 1 \n", "5 4 \n", "6 0 \n", "7 2 \n", "8 0 \n", "9 3 \n", "10 -5 \n", "11 4 \n", "12 4 \n", "\n", " Q58_1 \\\n", "0 I feel able to understand a child's reaction t... \n", "1 {\"ImportId\":\"QID71_1\"} \n", "2 3 \n", "3 -1 \n", "4 3 \n", "5 4 \n", "6 5 \n", "7 0 \n", "8 3 \n", "9 2 \n", "10 4 \n", "11 3 \n", "12 4 \n", "\n", " Q57_1 \\\n", "0 I am sure I can encourage a child to express t... \n", "1 {\"ImportId\":\"QID70_1\"} \n", "2 4 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 3 \n", "7 2 \n", "8 3 \n", "9 4 \n", "10 4 \n", "11 3 \n", "12 4 \n", "\n", " Q56_1 \\\n", "0 I am sure I can clarify a child’s relationship... \n", "1 {\"ImportId\":\"QID69_1\"} \n", "2 1 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 4 \n", "7 -1 \n", "8 3 \n", "9 2 \n", "10 -5 \n", "11 3 \n", "12 2 \n", "\n", " Q55_1 \\\n", "0 I am sure as to how I will lead a child toward... \n", "1 {\"ImportId\":\"QID68_1\"} \n", "2 3 \n", "3 5 \n", "4 2 \n", "5 2 \n", "6 5 \n", "7 2 \n", "8 4 \n", "9 1 \n", "10 3 \n", "11 2 \n", "12 2 \n", "\n", " Q54_1 \\\n", "0 I can summarise key points in a conversation w... \n", "1 {\"ImportId\":\"QID67_1\"} \n", "2 3 \n", "3 5 \n", "4 1 \n", "5 3 \n", "6 0 \n", "7 -1 \n", "8 5 \n", "9 -1 \n", "10 3 \n", "11 2 \n", "12 3 \n", "\n", " Q53_1 \n", "0 I can show a child empathy - 1 \n", "1 {\"ImportId\":\"QID66_1\"} \n", "2 5 \n", "3 4 \n", "4 3 \n", "5 3 \n", "6 5 \n", "7 4 \n", "8 5 \n", "9 4 \n", "10 3 \n", "11 3 \n", "12 4 " ] }, "execution_count": 142, "metadata": {}, "output_type": "execute_result" } ], "source": [ "post_intervention_SE" ] }, { "cell_type": "code", "execution_count": 143, "id": "838edcce", "metadata": {}, "outputs": [], "source": [ "# Align rows based on Participant IDs\n", "aligned_pre_intervention = pre_intervention_SE.set_index('Q50').sort_index()\n", "aligned_post_intervention = post_intervention_SE.set_index('Q25').sort_index()" ] }, { "cell_type": "code", "execution_count": 144, "id": "b7cb452e", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['p14', 'p16', 'p18', 'p2', 'p20', 'p22', 'p26', 'p30', 'p4', 'p6',\n", " 'p8'],\n", " dtype='object')" ] }, "execution_count": 144, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Find the intersection of IDs to ensure corresponding rows\n", "common_ids = aligned_pre_intervention.index.intersection(aligned_post_intervention.index)\n", "common_ids" ] }, { "cell_type": "code", "execution_count": 145, "id": "2c487c55", "metadata": {}, "outputs": [], "source": [ "# Keep only the rows with matching IDs in both DataFrames\n", "aligned_pre_intervention = aligned_pre_intervention.loc[common_ids]\n", "aligned_post_intervention = aligned_post_intervention.loc[common_ids]" ] }, { "cell_type": "code", "execution_count": 116, "id": "482cceaf", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " pre_control_SE['Q50'] = pre_control_SE['Q50'].str.lower()\n", ":2: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " post_control_SE['Q25'] = post_control_SE['Q25'].str.lower()\n" ] } ], "source": [ "pre_control_SE['Q50'] = pre_control_SE['Q50'].str.lower()\n", "post_control_SE['Q25'] = post_control_SE['Q25'].str.lower()" ] }, { "cell_type": "code", "execution_count": 117, "id": "d8c98188", "metadata": {}, "outputs": [], "source": [ "# Align rows based on Participant IDs\n", "aligned_pre = pre_control_SE.set_index('Q50').sort_index()\n", "aligned_post = post_control_SE.set_index('Q25').sort_index()" ] }, { "cell_type": "code", "execution_count": 118, "id": "89e3b1af", "metadata": {}, "outputs": [], "source": [ "# Find the intersection of IDs to ensure corresponding rows\n", "common_ids = aligned_pre.index.intersection(aligned_post.index)" ] }, { "cell_type": "code", "execution_count": 119, "id": "2d7d472b", "metadata": {}, "outputs": [], "source": [ "# Keep only the rows with matching IDs in both DataFrames\n", "aligned_pre = aligned_pre.loc[common_ids]\n", "aligned_post = aligned_post.loc[common_ids]" ] }, { "cell_type": "markdown", "id": "7f9ee893", "metadata": {}, "source": [ "## Calculate Means Pre Self-Efficacy" ] }, { "cell_type": "code", "execution_count": 121, "id": "c1116319", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1
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" ], "text/plain": [ " Q28_1 Q29_1 Q30_1 Q31_1 Q32_1 Q33_1 Q34_1 Q36_1 Q37_1\n", "p1 3 2 1 -1 2 2 2 4 4\n", "p11 -2 2 1 3 3 2 1 4 4\n", "p13 3 2 1 0 3 0 3 1 2\n", "p15 2 1 1 4 4 0 2 2 4\n", "p23 2 3 2 1 3 1 2 4 3\n", "p25 2 2 1 4 2 2 2 3 5\n", "p27 0 0 3 3 3 1 0 2 1\n", "p29 -2 3 2 3 3 3 -2 3 3\n", "p3 2 2 2 3 3 2 3 3 3\n", "p5 3 4 5 4 4 4 3 4 5\n", "p9 1 1 3 2 2 3 3 2 4" ] }, "execution_count": 121, "metadata": {}, "output_type": "execute_result" } ], "source": [ "numeric_columns_df = aligned_pre.apply(pd.to_numeric, errors='coerce')\n", "numeric_columns_df" ] }, { "cell_type": "code", "execution_count": 122, "id": "30309da8", "metadata": {}, "outputs": [], "source": [ "pre_averages_SE_control = numeric_columns_df.mean(axis=1)" ] }, { "cell_type": "code", "execution_count": 125, "id": "46049b2d", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "p1 2.111111\n", "p11 2.000000\n", "p13 1.666667\n", "p15 2.222222\n", "p23 2.333333\n", "p25 2.555556\n", "p27 1.444444\n", "p29 1.777778\n", "p3 2.555556\n", "p5 4.000000\n", "p9 2.333333\n", "dtype: float64" ] }, "execution_count": 125, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pre_averages_SE_control" ] }, { "cell_type": "code", "execution_count": 129, "id": "9fe47f1c", "metadata": {}, "outputs": [], "source": [ "aligned_pre['P_Average'] = pre_averages_SE_control" ] }, { "cell_type": "code", "execution_count": 130, "id": "9a177819", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q28_1Q29_1Q30_1Q31_1Q32_1Q33_1Q34_1Q36_1Q37_1P_Average
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" ], "text/plain": [ " Q61_1 Q60_1 Q59_1 Q58_1 Q57_1 Q56_1 Q55_1 Q54_1 Q53_1\n", "p14 3 4 4 4 3 3 2 3 3\n", "p16 2 3 2 0 2 -1 2 -1 4\n", "p18 2 3 3 2 4 2 1 -1 4\n", "p2 4 3 3 3 4 1 3 3 5\n", "p20 2 4 4 3 3 3 2 2 3\n", "p22 3 5 0 5 3 4 5 0 5\n", "p26 -5 3 -5 4 4 -5 3 3 3\n", "p30 1 4 4 4 4 2 2 3 4\n", "p4 5 5 5 -1 4 4 5 5 4\n", "p6 3 2 1 3 3 3 2 1 3\n", "p8 5 5 0 3 3 3 4 5 5" ] }, "execution_count": 161, "metadata": {}, "output_type": "execute_result" } ], "source": [ "numeric_columns_df = aligned_post_intervention.apply(pd.to_numeric, errors='coerce')\n", "numeric_columns_df" ] }, { "cell_type": "code", "execution_count": 162, "id": "07b34ca3", "metadata": {}, "outputs": [], "source": [ "post_averages_SE_intervention = numeric_columns_df.mean(axis=1)" ] }, { "cell_type": "code", "execution_count": 163, "id": "d1d180b6", "metadata": {}, "outputs": [], "source": [ "aligned_post_intervention['P_Average'] = post_averages_SE_intervention" ] }, { "cell_type": "code", "execution_count": 164, "id": "1cccf566", "metadata": {}, "outputs": [], "source": [ "averages_SE_intervention_post = aligned_post_intervention" ] }, { "cell_type": "code", "execution_count": 165, "id": "20cd9d37", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Q61_1 Q60_1 Q59_1 Q58_1 Q57_1 Q56_1 Q55_1 Q54_1 Q53_1 P_Average\n", "p14 3 4 4 4 3 3 2 3 3 3.222222\n", "p16 2 3 2 0 2 -1 2 -1 4 1.444444\n", "p18 2 3 3 2 4 2 1 -1 4 2.222222\n", "p2 4 3 3 3 4 1 3 3 5 3.222222\n", "p20 2 4 4 3 3 3 2 2 3 2.888889\n", "p22 3 5 0 5 3 4 5 0 5 3.333333\n", "p26 -5 3 -5 4 4 -5 3 3 3 0.555556\n", "p30 1 4 4 4 4 2 2 3 4 3.111111\n", "p4 5 5 5 -1 4 4 5 5 4 4.000000\n", "p6 3 2 1 3 3 3 2 1 3 2.333333\n", "p8 5 5 0 3 3 3 4 5 5 3.666667" ] }, "execution_count": 165, "metadata": {}, "output_type": "execute_result" } ], "source": [ "averages_SE_intervention_post" ] }, { "cell_type": "markdown", "id": "9d328cac", "metadata": {}, "source": [ "### Save Post-Self-Efficacy Means" ] }, { "cell_type": "code", "execution_count": 166, "id": "387be970", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'averages_SE_control_post.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"averages_SE_control_post.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "averages_SE_control_post.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")\n" ] }, { "cell_type": "code", "execution_count": 167, "id": "df0ecf13", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'averages_SE_intervention_post.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"averages_SE_intervention_post.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "averages_SE_intervention_post.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")\n" ] }, { "cell_type": "markdown", "id": "e73a6920", "metadata": {}, "source": [ "## Extract Column Perceived Usefulness" ] }, { "cell_type": "markdown", "id": "ef04c6d5", "metadata": {}, "source": [ "### Calculate Means of Perceived Usefulness" ] }, { "cell_type": "code", "execution_count": 174, "id": "0fb5365c", "metadata": {}, "outputs": [], "source": [ "control_PU = control[['Q25', 'Q50_1', 'Q51_1', 'Q52_1', 'Q53_1.1',\n", " 'Q54_1.1', 'Q55_1.1']]" ] }, { "cell_type": "code", "execution_count": 175, "id": "fbb462d6", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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0Enter your participant IDThe system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...
1{\"ImportId\":\"QID87_TEXT\"}{\"ImportId\":\"QID58_1\"}{\"ImportId\":\"QID59_1\"}{\"ImportId\":\"QID60_1\"}{\"ImportId\":\"QID61_1\"}{\"ImportId\":\"QID62_1\"}{\"ImportId\":\"QID63_1\"}
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" ], "text/plain": [ " Q25 \\\n", "0 Enter your participant ID \n", "1 {\"ImportId\":\"QID87_TEXT\"} \n", "2 p1 \n", "3 p25 \n", "4 P9 \n", "6 p27 \n", "7 p11 \n", "8 P13 \n", "9 P5 \n", "10 P15 \n", "11 P3 \n", "12 p29 \n", "13 p23 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 4 \n", "3 5 \n", "4 4 \n", "6 4 \n", "7 5 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 5 \n", "4 6 \n", "6 3 \n", "7 6 \n", "8 6 \n", "9 7 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 6 \n", "3 5 \n", "4 4 \n", "6 5 \n", "7 5 \n", "8 5 \n", "9 7 \n", "10 4 \n", "11 7 \n", "12 6 \n", "13 5 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 6 \n", "3 4 \n", "4 3 \n", "6 5 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 5 \n", "11 6 \n", "12 6 \n", "13 4 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 6 \n", "8 5 \n", "9 7 \n", "10 3 \n", "11 6 \n", "12 6 \n", "13 6 \n", "\n", " Q55_1.1 \n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 5 \n", "3 4 \n", "4 5 \n", "6 3 \n", "7 4 \n", "8 6 \n", "9 6 \n", "10 4 \n", "11 6 \n", "12 6 \n", "13 6 " ] }, "execution_count": 175, "metadata": {}, "output_type": "execute_result" } ], "source": [ "control_PU" ] }, { "cell_type": "code", "execution_count": 176, "id": "3e377091", "metadata": {}, "outputs": [], "source": [ "intervention_PU = intervention[['Q25', 'Q50_1', 'Q51_1', 'Q52_1', 'Q53_1.1',\n", " 'Q54_1.1', 'Q55_1.1']]" ] }, { "cell_type": "code", "execution_count": 177, "id": "46e6f030", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1
0Enter your participant IDThe system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...
1{\"ImportId\":\"QID87_TEXT\"}{\"ImportId\":\"QID58_1\"}{\"ImportId\":\"QID59_1\"}{\"ImportId\":\"QID60_1\"}{\"ImportId\":\"QID61_1\"}{\"ImportId\":\"QID62_1\"}{\"ImportId\":\"QID63_1\"}
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" ], "text/plain": [ " Q25 \\\n", "0 Enter your participant ID \n", "1 {\"ImportId\":\"QID87_TEXT\"} \n", "2 p2 \n", "3 P4 \n", "4 P6 \n", "5 p14 \n", "6 P22 \n", "7 p16 \n", "8 8 \n", "9 p18 \n", "10 p26 \n", "11 P20 \n", "12 p30 \n", "\n", " Q50_1 \\\n", "0 The system provides me with information about ... \n", "1 {\"ImportId\":\"QID58_1\"} \n", "2 6 \n", "3 6 \n", "4 6 \n", "5 6 \n", "6 4 \n", "7 6 \n", "8 7 \n", "9 6 \n", "10 3 \n", "11 4 \n", "12 7 \n", "\n", " Q51_1 \\\n", "0 I feel more comfortable assisted with counsell... \n", "1 {\"ImportId\":\"QID59_1\"} \n", "2 6 \n", "3 7 \n", "4 6 \n", "5 6 \n", "6 5 \n", "7 5 \n", "8 7 \n", "9 6 \n", "10 4 \n", "11 5 \n", "12 5 \n", "\n", " Q52_1 \\\n", "0 The system helps me apply the required skills ... \n", "1 {\"ImportId\":\"QID60_1\"} \n", "2 5 \n", "3 7 \n", "4 5 \n", "5 5 \n", "6 6 \n", "7 6 \n", "8 5 \n", "9 6 \n", "10 3 \n", "11 4 \n", "12 6 \n", "\n", " Q53_1.1 \\\n", "0 The system provides assistance when I need to ... \n", "1 {\"ImportId\":\"QID61_1\"} \n", "2 5 \n", "3 7 \n", "4 6 \n", "5 6 \n", "6 7 \n", "7 5 \n", "8 5 \n", "9 6 \n", "10 1 \n", "11 3 \n", "12 6 \n", "\n", " Q54_1.1 \\\n", "0 The system provides me enough control over my ... \n", "1 {\"ImportId\":\"QID62_1\"} \n", "2 6 \n", "3 6 \n", "4 5 \n", "5 6 \n", "6 7 \n", "7 5 \n", "8 4 \n", "9 5 \n", "10 6 \n", "11 4 \n", "12 7 \n", "\n", " Q55_1.1 \n", "0 Using the system, I can apply the skills requi... \n", "1 {\"ImportId\":\"QID63_1\"} \n", "2 6 \n", "3 6 \n", "4 6 \n", "5 5 \n", "6 6 \n", "7 5 \n", "8 7 \n", "9 2 \n", "10 5 \n", "11 6 \n", "12 6 " ] }, "execution_count": 177, "metadata": {}, "output_type": "execute_result" } ], "source": [ "intervention_PU" ] }, { "cell_type": "code", "execution_count": 180, "id": "24f4b9ea", "metadata": {}, "outputs": [], "source": [ "numeric_columns_df = control_PU.apply(pd.to_numeric, errors='coerce')\n", "\n", "averages_rows_control = numeric_columns_df.mean(axis=1)" ] }, { "cell_type": "code", "execution_count": 181, "id": "6a1e8db6", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " control_PU['P_Average']= averages_rows_control\n" ] } ], "source": [ "control_PU['P_Average']= averages_rows_control" ] }, { "cell_type": "code", "execution_count": 182, "id": "e8cbe194", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Q25Q50_1Q51_1Q52_1Q53_1.1Q54_1.1Q55_1.1P_Average
0Enter your participant IDThe system provides me with information about ...I feel more comfortable assisted with counsell...The system helps me apply the required skills ...The system provides assistance when I need to ...The system provides me enough control over my ...Using the system, I can apply the skills requi...NaN
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" ], "text/plain": [ " Q25 Q50_1 Q51_1 Q52_1 Q53_1.1 Q54_1.1 Q55_1.1 P_Average\n", "2 p1 4 6 6 6 6 5 5.500000\n", "3 p25 5 5 5 4 4 4 4.500000\n", "4 P9 4 6 4 3 5 5 4.500000\n", "6 p27 4 3 5 5 3 3 3.833333\n", "7 p11 5 6 5 6 6 4 5.333333\n", "8 P13 6 6 5 7 5 6 5.833333\n", "9 P5 7 7 7 6 7 6 6.666667\n", "10 P15 5 5 4 5 3 4 4.333333\n", "11 P3 6 6 7 6 6 6 6.166667\n", "12 p29 6 6 6 6 6 6 6.000000\n", "13 p23 6 6 5 4 6 6 5.500000" ] }, "execution_count": 185, "metadata": {}, "output_type": "execute_result" } ], "source": [ "averages_PU_control" ] }, { "cell_type": "code", "execution_count": 186, "id": "03b48908", "metadata": {}, "outputs": [], "source": [ "numeric_columns_df = intervention_PU.apply(pd.to_numeric, errors='coerce')\n", "\n", "averages_rows_intervention = numeric_columns_df.mean(axis=1)" ] }, { "cell_type": "code", "execution_count": 187, "id": "310f42c7", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":1: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " intervention_PU['P_Average']= averages_rows_intervention\n" ] } ], "source": [ "intervention_PU['P_Average']= averages_rows_intervention" ] }, { "cell_type": "code", "execution_count": 188, "id": "33deee0c", "metadata": {}, "outputs": [], "source": [ "averages_PU_intervention = intervention_PU.iloc[2:]" ] }, { "cell_type": "code", "execution_count": 189, "id": "46ecd8fc", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Q25 Q50_1 Q51_1 Q52_1 Q53_1.1 Q54_1.1 Q55_1.1 P_Average\n", "2 p2 6 6 5 5 6 6 5.666667\n", "3 P4 6 7 7 7 6 6 6.500000\n", "4 P6 6 6 5 6 5 6 5.666667\n", "5 p14 6 6 5 6 6 5 5.666667\n", "6 P22 4 5 6 7 7 6 5.833333\n", "7 p16 6 5 6 5 5 5 5.333333\n", "8 8 7 7 5 5 4 7 6.142857\n", "9 p18 6 6 6 6 5 2 5.166667\n", "10 p26 3 4 3 1 6 5 3.666667\n", "11 P20 4 5 4 3 4 6 4.333333\n", "12 p30 7 5 6 6 7 6 6.166667" ] }, "execution_count": 189, "metadata": {}, "output_type": "execute_result" } ], "source": [ "averages_PU_intervention" ] }, { "cell_type": "markdown", "id": "f592de57", "metadata": {}, "source": [ "### Save Means of Perceived Usefulness" ] }, { "cell_type": "code", "execution_count": 190, "id": "19deff06", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'averages_PU_intervention.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"averages_PU_intervention.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "averages_PU_control.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")\n" ] }, { "cell_type": "code", "execution_count": 192, "id": "3886d66c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'averages_PU_control.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"averages_PU_control.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "averages_PU_control.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")\n" ] }, { "cell_type": "markdown", "id": "c61b1fce", "metadata": {}, "source": [ "## Exploratory Analysis" ] }, { "cell_type": "code", "execution_count": 194, "id": "0ed2a588", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "p14 1.333333\n", "p16 0.111111\n", "p18 0.111111\n", "p2 0.555556\n", "p20 -0.111111\n", "p22 -0.777778\n", "p26 -1.888889\n", "p30 0.555556\n", "p4 0.111111\n", "p6 -0.555556\n", "p8 1.000000\n", "Name: P_Average, dtype: float64" ] }, "execution_count": 194, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deltas_intervention_SE = averages_SE_intervention_post['P_Average'] - averages_SE_intervention_pre['P_Average']\n", "deltas_intervention_SE" ] }, { "cell_type": "code", "execution_count": 195, "id": "5725f9f2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "p1 -3.888889\n", "p11 1.555556\n", "p13 -0.777778\n", "p15 -0.222222\n", "p23 0.888889\n", "p25 -0.555556\n", "p27 -0.444444\n", "p29 0.666667\n", "p3 0.333333\n", "p5 -1.333333\n", "p9 0.111111\n", "Name: P_Average, dtype: float64" ] }, "execution_count": 195, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deltas_control_SE = averages_SE_control_post['P_Average'] - averages_SE_control_pre['P_Average']\n", "deltas_control_SE" ] }, { "cell_type": "code", "execution_count": 196, "id": "bd6dbce2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Percentage of negative values: 36.36%\n" ] } ], "source": [ "# Assuming deltas_intervention_SE is a pandas Series\n", "negative_count = (deltas_intervention_SE < 0).sum() # Count of negative values\n", "total_count = len(deltas_intervention_SE) # Total number of elements\n", "percentage_negative = (negative_count / total_count) * 100\n", "\n", "print(f\"Percentage of negative values: {percentage_negative:.2f}%\")" ] }, { "cell_type": "code", "execution_count": 197, "id": "5ffe0e4c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Percentage of negative values: 54.55%\n" ] } ], "source": [ "# Assuming deltas_control_SE is a pandas Series\n", "negative_count = (deltas_control_SE < 0).sum() # Count of negative values\n", "total_count = len(deltas_control_SE) # Total number of elements\n", "percentage_negative = (negative_count / total_count) * 100\n", "\n", "print(f\"Percentage of negative values: {percentage_negative:.2f}%\")" ] }, { "cell_type": "code", "execution_count": 198, "id": "75a00851", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "5.287878787878788" ] }, "execution_count": 198, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculate the average of the column\n", "mean_PU_control = averages_PU_control['P_Average'].mean()\n", "mean_PU_control" ] }, { "cell_type": "code", "execution_count": 199, "id": "79cbb600", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "5.467532467532468" ] }, "execution_count": 199, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Calculate the average of the column\n", "mean_PU_intervention = averages_PU_intervention['P_Average'].mean()\n", "mean_PU_intervention" ] }, { "cell_type": "code", "execution_count": 200, "id": "86dda3b4", "metadata": {}, "outputs": [], "source": [ "# Load the CSV file into a DataFrame\n", "pre_performance_intervention = pd.read_csv('performance_data_intervention_pre.csv')\n", "post_performance_intervention = pd.read_csv('performance_data_intervention_post.csv')\n", "\n", "pre_performance_control = pd.read_csv('performance_data_control_pre.csv')\n", "post_performance_control = pd.read_csv('performance_data_control_post.csv')" ] }, { "cell_type": "code", "execution_count": 201, "id": "dacb4559", "metadata": {}, "outputs": [], "source": [ "deltas_performance_intervention = post_performance_intervention['Performance Data'] - pre_performance_intervention['Performance Data']" ] }, { "cell_type": "code", "execution_count": 202, "id": "1428b2a1", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.558824\n", "1 -0.014706\n", "2 0.382353\n", "3 0.058824\n", "4 0.205882\n", "5 0.073529\n", "6 0.154412\n", "7 -0.050534\n", "8 -0.022059\n", "9 0.058824\n", "10 0.000000\n", "Name: Performance Data, dtype: float64" ] }, "execution_count": 202, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deltas_performance_intervention" ] }, { "cell_type": "code", "execution_count": 203, "id": "d8a77192", "metadata": {}, "outputs": [], "source": [ "deltas_performance_control = post_performance_control['Performance Data'] - pre_performance_control['Performance Data']" ] }, { "cell_type": "code", "execution_count": 204, "id": "7989e463", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.029412\n", "1 0.066176\n", "2 0.264706\n", "3 0.029412\n", "4 0.198529\n", "5 0.000000\n", "6 0.220588\n", "7 -0.029412\n", "8 -0.161765\n", "9 -0.419118\n", "10 -0.110294\n", "Name: Performance Data, dtype: float64" ] }, "execution_count": 204, "metadata": {}, "output_type": "execute_result" } ], "source": [ "deltas_performance_control" ] }, { "cell_type": "code", "execution_count": 205, "id": "194cbbb7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Percentage of negative values: 27.27%\n" ] } ], "source": [ "# Assuming deltas_intervention_SE is a pandas Series\n", "negative_count = (deltas_performance_intervention < 0).sum() # Count of negative values\n", "total_count = len(deltas_performance_intervention) # Total number of elements\n", "percentage_negative = (negative_count / total_count) * 100\n", "\n", "print(f\"Percentage of negative values: {percentage_negative:.2f}%\")" ] }, { "cell_type": "code", "execution_count": 206, "id": "e464f2ef", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Percentage of negative values: 36.36%\n" ] } ], "source": [ "# Assuming deltas_intervention_SE is a pandas Series\n", "negative_count = (deltas_performance_control < 0).sum() # Count of negative values\n", "total_count = len(deltas_performance_control) # Total number of elements\n", "percentage_negative = (negative_count / total_count) * 100\n", "\n", "print(f\"Percentage of negative values: {percentage_negative:.2f}%\")" ] }, { "cell_type": "code", "execution_count": 97, "id": "8571df0d", "metadata": {}, "outputs": [], "source": [ "open_control = control[['Q27', 'Q28']]" ] }, { "cell_type": "code", "execution_count": 98, "id": "68ad64cb", "metadata": {}, "outputs": [], "source": [ "open_intervention = intervention[['Q27', 'Q28']]" ] }, { "cell_type": "code", "execution_count": 99, "id": "f31c2091", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'open_control.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"open_control.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "open_control.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")" ] }, { "cell_type": "code", "execution_count": 100, "id": "82d88efb", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "DataFrame saved as 'open_intervention.csv'\n" ] } ], "source": [ "# Assuming `dataframe` is your DataFrame\n", "file_name = \"open_intervention.csv\" # Desired file name for the CSV\n", "\n", "# Save the DataFrame as a CSV file\n", "open_intervention.to_csv(file_name, index=False) # Set index=False to exclude the index column\n", "\n", "print(f\"DataFrame saved as '{file_name}'\")" ] }, { "cell_type": "code", "execution_count": 207, "id": "4b431fbc", "metadata": {}, "outputs": [], "source": [ "mean_pre_inter_SE = averages_SE_intervention_pre['P_Average'].mean()" ] }, { "cell_type": "code", "execution_count": 208, "id": "d702dc55", "metadata": {}, "outputs": [], "source": [ "mean_post_inter_SE = averages_SE_intervention_post['P_Average'].mean()" ] }, { "cell_type": "code", "execution_count": 209, "id": "b986745e", "metadata": {}, "outputs": [], "source": [ "mean_pre_control_SE = averages_SE_control_pre['P_Average'].mean()" ] }, { "cell_type": "code", "execution_count": 210, "id": "464c2288", "metadata": {}, "outputs": [], "source": [ "mean_post_control_SE = averages_SE_control_post['P_Average'].mean()" ] }, { "cell_type": "code", "execution_count": 211, "id": "177858a8", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Data for visualization\n", "categories = ['Pre Intervention', 'Post Intervention', 'Pre Control', 'Post Control']\n", "means = [mean_pre_inter_SE, mean_post_inter_SE, mean_pre_control_SE, mean_post_control_SE]\n", "\n", "# Create a bar chart\n", "plt.figure(figsize=(8, 6))\n", "plt.bar(categories, means, color=['skyblue', 'steelblue', 'lightcoral', 'indianred'])\n", "plt.title('Mean Values Comparison SE', fontsize=16)\n", "plt.ylabel('Mean Value', fontsize=12)\n", "# plt.xlabel('Categories', fontsize=12)\n", "plt.xticks(rotation=15)\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "plt.savefig('SE Comparison.png', format='png', bbox_inches='tight')\n", "\n", "# Display the chart\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 212, "id": "be8d79f3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.2935343825413496" ] }, "execution_count": 212, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mean_post_inter_Perf = post_performance_intervention['Performance Data'].mean()\n", "mean_post_inter_Perf" ] }, { "cell_type": "code", "execution_count": 213, "id": "df795451", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.16577540106951869" ] }, "execution_count": 213, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mean_pre_inter_Perf = pre_performance_intervention['Performance Data'].mean()\n", "mean_pre_inter_Perf" ] }, { "cell_type": "code", "execution_count": 214, "id": "64f796b2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.18983957219251335" ] }, "execution_count": 214, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mean_post_control_Perf = post_performance_control['Performance Data'].mean()\n", "mean_post_control_Perf" ] }, { "cell_type": "code", "execution_count": 215, "id": "a55b8f78", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0.18181818181818177" ] }, "execution_count": 215, "metadata": {}, "output_type": "execute_result" } ], "source": [ "mean_pre_control_Perf = pre_performance_control['Performance Data'].mean()\n", "mean_pre_control_Perf" ] }, { "cell_type": "code", "execution_count": 216, "id": "d0604d0b", "metadata": {}, "outputs": [ { "data": { "image/png": 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7d+4EYMqUKdTV1bFxY3pzaXV1NQsWLGDt2rX09PQAsHTpUrZu3cqBAwcAmD9/Ph0dHezevRuAqVOnUlNTw6ZNmwAYP3488+fPZ/Xq1UQEkli6dCmbN2/m4MGDACxYsIDW1lYaGxu9n7yfvJ+8n7yfjnM/HcmIvAhH0lOBGyLi0mz4nQAR8cEjLLMZOB9YdKzLAixbtiz8UB0zMztZSHogIpb1N22kqvGXA4skzZdUAVwB3Fk6g6SFkpT9/2SgAmgazLJmZmY2sBGpxo+Iw5LeDNwNlAE3R8QaSddk028C/hS4SlI30AG8LOuw1++yI5FvMzOzPMjt++xdjW9mZieTJ0I1vpmZmY0SB3szM7Ocy+0rbu3kden7vjvaWcidu697wWhnwcyOg0v2ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY5N2LBXtLzJK2XtFHStf1Mf6WkldnnPklnl0zbImmVpN9KWjFSeTYzM8uDMSPxJZLKgE8DzwG2A8sl3RkRa0tm2ww8IyL2S7oM+BzwlJLpl0TE3pHIr5mZWZ6MVMn+AmBjRDwSEV3AbcDlpTNExH0RsT8bvB+YPUJ5MzMzy7WRCvazgG0lw9uzcQN5PfC9kuEAfiDpAUlXD0P+zMzMcmtEqvEB9TMu+p1RuoQU7J9eMvppEbFT0lTgh5LWRcTP+ln2auBqgNmzZ7Nq1SoApk+fTlVVFZs3bwagtraWuXPnsnr1agDKyspYsmQJmzZtor29HYCFCxfS0tLCnj17AJg5cybl5eU8+uijANTV1TFr1izWrk0tEeXl5SxevJgNGzZw6NAhAE477TSamppoamoCYNasWRQKBbZtS9c9EyZMYNq0aaxbtw6AiooKTj/9dNavX09XVxcAixcvpqGhgf37U6XHnDlz6O3tZceOHQBMmjSJSZMm8fDDDwMwduxYFi1axLp16+ju7gZgyZIl7Nixg5aWFgBOOeUUuru72blzJwBTpkyhrq6OjRs3AlBdXc2CBQtYu3YtPT09ACxdupStW7dy4MABAObPn09HRwe7d+8GYOrUqdTU1LBp0yYAxo8fz/z581m9ejURgSSWLl3K5s2bOXjwIAALFiygtbWVxsbGId1PEyuDMyb2ArD3kNjYLC6cnoa7emF5QxnnTOll3Jj0E3ygscDMccGMcWl4Q3OB3oDTJ6RlGjrE1gPi/Glp+FCPeKCxwHlTexlblpZZ3lBgbm0wrSoNr99foCBYVJ+W2dUmdraJ86am4bbD4rd7Cpw/rYeK7JL7/t0FFtYHk8emNB7aV6CyDE6tS8tsPyj2dIhzp6Th1m6xcm+BC6f3UJYdYfftKrB4YjCxMqWxuqnA+IpgXk0a3toqmjvFWZNTGs1dYk1TgYtm9CDSQXnfrjLOnNRLfUVaZuXeAg0NDUO+n3w8nRjHk/fTibOfjkQR/cbcISXpqcANEXFpNvxOgIj4YJ/5zgLuAC6LiIcHSOsG4GBEfPRI37ls2bJYscJ9+U5Gl77vu6Odhdy5+7oXjHYWzOwoJD0QEcv6mzZS1fjLgUWS5kuqAK4A7iydQdJc4HbgytJAL2mcpJri/8BzgdUjlG8zM7MT3ohU40fEYUlvBu4GyoCbI2KNpGuy6TcB7wEmAf8uCeBwdoUyDbgjGzcG+GpEfH8k8m1mZpYHI9VmT0TcBdzVZ9xNJf+/AXhDP8s9Apzdd7yZmZkNjp+gZ2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjnnYG9mZpZzDvZmZmY552BvZmaWcw72ZmZmOedgb2ZmlnMO9mZmZjk3YsFe0vMkrZe0UdK1/Ux/paSV2ec+SWcPdlkzMzMb2IgEe0llwKeBy4AlwMslLekz22bgGRFxFvA+4HPHsKyZmZkNYKRK9hcAGyPikYjoAm4DLi+dISLui4j92eD9wOzBLmtmZmYDG6lgPwvYVjK8PRs3kNcD33ucy5qZmVmJMSP0PepnXPQ7o3QJKdg//XEsezVwNcDs2bNZtWoVANOnT6eqqorNmzcDUFtby9y5c1m9ejUAZWVlLFmyhE2bNtHe3g7AwoULaWlpYc+ePQDMnDmT8vJyHn30UQDq6uqYNWsWa9euBaC8vJzFixezYcMGDh06BMBpp51GU1MTTU1NAMyaNYtCocC2benaZcKECUybNo1169YBUFFRwemnn8769evp6uoCYPHixTQ0NLB/f6r0mDNnDr29vezYsQOASZMmMWnSJB5++GEAxo4dy6JFi1i3bh3d3d0ALFmyhB07dtDS0gLAKaecQnd3Nzt37gRgypQp1NXVsXHjRgCqq6tZsGABa9eupaenB4ClS5eydetWDhw4AMD8+fPp6Ohg9+7dAEydOpWamho2bdoEwPjx45k/fz6rV68mIpDE0qVL2bx5MwcPHgRgwYIFtLa20tjYOKT7aWJlcMbEXgD2HhIbm8WF09NwVy8sbyjjnCm9jBuTfkYPNBaYOS6YMS4Nb2gu0Btw+oS0TEOH2HpAnD8tDR/qEQ80Fjhvai9jy9IyyxsKzK0NplWl4fX7CxQEi+rTMrvaxM42cd7UNNx2WPx2T4Hzp/VQkV1y37+7wML6YPLYlMZD+wpUlsGpdWmZ7QfFng5x7pQ03NotVu4tcOH0Hsqyo+S+XQUWTwwmVqY0VjcVGF8RzKtJw1tbRXOnOGtySqO5S6xpKnDRjB5EOrDu21XGmZN6qa9Iy6zcW6ChoWHI95OPpxPjePJ+OnH205Eoot+4OaQkPRW4ISIuzYbfCRARH+wz31nAHcBlEfHwsSzb17Jly2LFihVDvSp2Arj0fd8d7Szkzt3XvWC0s2BmRyHpgYhY1t+0karGXw4skjRfUgVwBXBn6QyS5gK3A1cWA/1glzUzM7OBjUg1fkQclvRm4G6gDLg5ItZIuiabfhPwHmAS8O+SAA5HxLKBlh2JfJuZmeXBSLXZExF3AXf1GXdTyf9vAN4w2GXNzMxscPwEPTMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznBux3vhmZnZi+vWVV452FnLpybfeOmLf5ZK9mZlZzjnYm5mZ5ZyDvZmZWc4dU7CXNEfShcOVGTMzMxt6gwr2kuZK+gWwDvhRNu7PJP3HcGbOzMzMjt9gS/afBb4L1ADd2bgfAs8ZjkyZmZnZ0BnsrXcXAC+IiF5JARARLZLqhi9rZmZmNhQGW7JvABaWjpC0BNg65DkyMzOzITXYkv1Hge9I+iAwRtLLgXcBHxq2nJlZrrXceONoZyGX6q6/frSzYE9Agwr2EXGzpH3A1cA24NXAdRHxzWHMm5mZmQ2BQT8uNwvs3xy2nJiZmdmwGFSwl/S6gaZFxM1Dlx0zMzMbaoMt2fd9C8J0YAHwC8DB3szM7AlssG32l/Qdl5X2zxjyHJmZmdmQOp5n438ReP0Q5cPMzMyGyWDb7PteFFQDrwKahzpDZmZmNrQG22Z/GIg+43YAfzm02TEzM7OhNthgP7/PcFtE7B3qzJiZmdnQG2wHvUeHOyNmZmY2PAYM9pLu5Q+r7v9ARFw8pDkyMzOzIXWkkr3fVW9mZpYDAwb7iPjSSGbEzMzMhsegn40vaRrpvfaTARXH+3G5ZmZmT2yDvc/+xcCXgQ3AmcAaYCnwc/y4XDMzsye0wT5B7/3AayPiXNJtd+eSXnf7wLDlzMzMzIbEYKvx50bEf/UZ9yVgN/D2oc3SE9OHfuPHCgy1a8+dPNpZMDM7KQy2ZN+YtdkDbJH0VNJb78qGJ1tmZmY2VAYb7D8PPD37/+PA/wIPAv8+HJkyMzOzoXPEanxJHwG+GBEfLo6LiFsk3QOMi4iHhjl/ZmZmdpyOVrJfBPxa0gpJb5E0GSAitjrQm5mZnRiOGOwj4iXADNLtdS8Htkv6pqSXSiofiQyamZnZ8Tlqm31E7I+If4+Ii4AnASuBfwZ2SfrUcGfQzMzMjs9gO+gBEBEbSPfcvxNoBa4ZjkyZmZnZ0Bl0sJd0kaSbSPfWfwD4ArBwuDJmZmZmQ+NovfHnA1dmn8nAfwMvioifj0DezMzMbAgc7Ql6DwM/At4D3BERh4Y/S2ZmZjaUjhbsT4mInSOSEzMzMxsWR7v1zoHezMzsBHdMvfGPh6TnSVovaaOka/uZvljSLyV1Snp7n2lbJK2S9FtJK0Yqz2ZmZnkw2LfeHRdJZcCngecA24Hlku6MiLUls+0D/gZ48QDJXBIRfvWcmZnZMRqpkv0FwMaIeCQiuoDbgMtLZ4iIxohYDnSPUJ7MzMxOCoMq2UuaSHpv/TnA+NJpEXHxIJKYBWwrGd4OPGVwWUxfA/xAUgCfjYjPDZDPq4GrAWbPns2qVasAmD59OlVVVWzevBmA2tpa5s6dy+rVqwEoKytjyZIlbNq0ifb2dgAWLlxIS0sLe/bsAaDqUDW9hTHUtTUA0Fk+ngPjJjOleQsAvRrD3vq5TDywnTE9XQA01c6hurOFqs4DAByonkJI1LU1AnCoooaDVROY3LIVgJ5COU11c5jUso2y3nTNs7duLuM79jO2qxWAlnFTUQS17SlfHZW1tFfWMelA2ryHyyrYVzubyc1bKcRhAPbUz6O2bS+V3QezNKZR6D1MTUcTAO2V9RyqGMfE1h0AdJeNZX/tTKY0b0HRC0Bj/Xzq2xqo6E7bp3n8DMb0dDK+Yx8AbWMn0FVexYTW1M2je0wV+2tmMHX/5mz3icYJ85nQuovywx3pe9uraW1tpbGxccj208yZM5lYGZwxMeV77yGxsVlcOD0Nd/XC8oYyzpnSy7gxAcADjQVmjgtmjEvDG5oL9AacPiEt09Ahth4Q509Lw4d6xAONBc6b2svYsrTM8oYCc2uDaVVpeP3+AgXBovq0zK42sbNNnDc1DbcdFr/dU+D8aT1UZJfc9+8usLA+mDw2pfHQvgKVZXBqXVpm+0Gxp0OcOyUNt3aLlXsLXDi9hzKlNO7bVWDxxGBiZUpjdVOB8RXBvJo0vLVVNHeKsyanNJq7xJqmAhfN6EHZnrpvVxlnTuqlviIts3JvgYaGhiHfT4fGjmX3xIkAjO/oYEpzM5tnzEhp9PYyf/dutk6dSteYdJqa29BAy/jxtIwbB8DU5mYUQcOECQDUtLcz6cABtkyfDsCYnh7mNTSwZdo0Dpelt3HP272bptpaWqurAZi2fz8h0VhfD0BdWxt1Bw+ydVp6o3fF4cPMbWxk8/Tp9BTSjpq/axd76us5WFWVtse+fRwuK2NvXR0A9QcPUtPezrapUwGo7O5mzp49PDJjBr1KO2rBzp3smjiR9rFj0/ZoaqKzvJym2loAJrS2Ut3ZyY7JkwGo6uxkVlMTG2fOpGjhzp3smDSJjspKAGbt3Ut7ZSVbh/C8N3PmTMrLy9l/9tlpezQ3U71tG81PehIAhe5u6tau5cBpp9GTbY/ahx6ic8oUOrO8V2/bhnp7aTvllJTGvn1U7dpFy5lnpjQ6O6lbt46WxYvpzdalbs0aOmbMoCv7fYx79FGiUKB9zpy0TffupXLPHg6ccUZal44Oah9+mJYlS+gtT09yr1+1ivY5c+jK9u24zZuJigraZ80CYGxjIxX793Pg9NPT76WtjZqNG2leupTIfi/1Dz5I27x5dGf7dvymTfRUV9OR/U7H7t5NeWsrrYsWpTRaW6l55BH2n3UWSBDBhJUraT31VA7X1KTf6YYNdNfUcGj6dFatWjWk++lIFBFHnAFA0veBSuAbQHvptIj40iCW/3Pg0oh4QzZ8JXBBRLyln3lvAA5GxEdLxs2MiJ2SpgI/BN4SET870ncuW7YsVqwYuub9D/3GLQhD7dpzJw9Lupe+77vDku7J7O7rXjDkabbceOOQp2lQd/31Q57mr6+8csjTNHjyrbcOaXqSHoiIZf1NG2yb/UXAlIjofJx52A7MKRmeDQy6p3/xroCIaJR0B6lZ4IjB3szMzJLBttmvJAXox2s5sEjSfEkVwBXAnYNZUNI4STXF/4HnAquPIy9mZmYnlcGW7H8CfF/SF0jPxv+diLj5aAtHxGFJbwbuBsqAmyNijaRrsuk3SZoOrABqgV5JbwWWkB7Te4dSW9cY4KsR8f1B5tvMzOykN9hg/0ekqvjn9BkfpHfdH1VE3AXc1WfcTSX/76b/2oMDwNmDzKeZmZn1MahgHxGXDHdGzMzMbHgc80N1lOrTVRyOyO7NMjMzsyekQXXQkzRL0h2SmoDDpAffFD9mZmb2BDbY3vg3AV3As4CDwJNJvemvGaZ8mZmZ2RA5lvvs50ZEm6SIiAclvR64D/j88GXPzMzMjtdgS/Y9pOp7gGZJU4A20mNwzczM7AlssMH+/4DnZ//fDXwduJ10X7yZmZk9gQ22Gv9KHrsweCvw90AN8Imhz5KZmZkNpcHeZ99c8n8H8P7hypCZmZkNrcHeelcp6QOSHpHUko17bvYIXDMzM3sCG2yb/ceBpcArSY/IBVgDvHE4MmVmZmZDZ7Bt9i8BFma33vUCRMQOSe6Nb2Zm9gQ32JJ9F30uDLLb75qGPEdmZmY2pAYb7P8L+JKk+QCSZgCfAm4broyZmZnZ0BhssH8XsAVYBdQDG4CdwI3DkiszMzMbMoO99a6LdH/9W7Pq+70REUdeyszMzJ4IjhjsJc0dYNKc9KZbiIitQ50pMzMzGzpHK9lv4bFb7dTP9ADKhjJDZmZmNrSO1ma/ktQ+/4/AKUB5n0/FsObOzMzMjtsRg31EnAP8GTAR+DlwF3AFUBERPRHRM+w5NDMzs+Ny1N74EbE6Iv4fMB/4GPAnwC5JTx7uzJmZmdnxG+ytdwCLgGcATwV+A+wflhyZmZnZkDpab/yJwMuBV5NeaXsrcLF74JuZmZ04jtYbfyewmRTk78/GLZS0sDhDRPxkmPJmZmZmQ+BowX43MBb4y+zTVwCnDnWmzMzMbOgcMdhHxLwRyoeZmZkNk2PpoGdmZmYnIAd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7OcG7FgL+l5ktZL2ijp2n6mL5b0S0mdkt5+LMuamZnZwEYk2EsqAz4NXAYsAV4uaUmf2fYBfwN89HEsa2ZmZgMYqZL9BcDGiHgkIrqA24DLS2eIiMaIWA50H+uyZmZmNrAxI/Q9s4BtJcPbgacM9bKSrgauBpg9ezarVq0CYPr06VRVVbF582YAamtrmTt3LqtXrwagrKyMJUuWsGnTJtrb2wFYuHAhLS0t7NmzB4CqQ9X0FsZQ19YAQGf5eA6Mm8yU5i0A9GoMe+vnMvHAdsb0dAHQVDuH6s4WqjoPAHCgegohUdfWCMChihoOVk1gcstWAHoK5TTVzWFSyzbKetM1z966uYzv2M/YrlYAWsZNRRHUtqd8dVTW0l5Zx6QDaRMdLqtgX+1sJjdvpRCHAdhTP4/atr1Udh/M0phGofcwNR1NALRX1nOoYhwTW3cA0F02lv21M5nSvAVFLwCN9fOpb2ugojttn+bxMxjT08n4jn0AtI2dQFd5FRNad6Y0xlSxv2YGU/dvBgIQjRPmM6F1F+WHO9L3tlfT2tpKY2PjkO2nmTNnMrEyOGNiyvfeQ2Jjs7hwehru6oXlDWWcM6WXcWMCgAcaC8wcF8wYl4Y3NBfoDTh9QlqmoUNsPSDOn5aGD/WIBxoLnDe1l7FlaZnlDQXm1gbTqtLw+v0FCoJF9WmZXW1iZ5s4b2oabjssfrunwPnTeqjILrnv311gYX0weWxK46F9BSrL4NS6tMz2g2JPhzh3Shpu7RYr9xa4cHoPZUpp3LerwOKJwcTKlMbqpgLjK4J5NWl4a6to7hRnTU5pNHeJNU0FLprRg7I9dd+uMs6c1Et9RVpm5d4CDQ0NQ76fDo0dy+6JEwEY39HBlOZmNs+YkdLo7WX+7t1snTqVrjHpNDW3oYGW8eNpGTcOgKnNzSiChgkTAKhpb2fSgQNsmT4dgDE9PcxraGDLtGkcLisDYN7u3TTV1tJaXQ3AtP37CYnG+noA6traqDt4kK3TpgFQcfgwcxsb2Tx9Oj2FtKPm79rFnvp6DlZVpe2xbx+Hy8rYW1cHQP3Bg9S0t7Nt6lQAKru7mbNnD4/MmEGv0o5asHMnuyZOpH3s2LQ9mproLC+nqbYWgAmtrVR3drJj8mQAqjo7mdXUxMaZMylauHMnOyZNoqOyEoBZe/fSXlnJ1iE8782cOZPy8nL2n3122h7NzVRv20bzk54EQKG7m7q1azlw2mn0ZNuj9qGH6Jwyhc4s79XbtqHeXtpOOSWlsW8fVbt20XLmmSmNzk7q1q2jZfFierN1qVuzho4ZM+jKfh/jHn2UKBRonzMnbdO9e6ncs4cDZ5yR1qWjg9qHH6ZlyRJ6y8vTfli1ivY5c+jK9u24zZuJigraZ80CYGxjIxX793Pg9NPT76WtjZqNG2leupTIfi/1Dz5I27x5dGf7dvymTfRUV9OR/U7H7t5NeWsrrYsWpTRaW6l55BH2n3UWSBDBhJUraT31VA7X1KTf6YYNdNfUcGj6dFatWjWk++lIFBFHnGEoSPpz4NKIeEM2fCVwQUS8pZ95bwAORsRHj3XZUsuWLYsVK1YM2Tp86Dd7hywtS649d/KwpHvp+747LOmezO6+7gVDnmbLjTcOeZoGdddfP+Rp/vrKK4c8TYMn33rrkKYn6YGIWNbftJGqxt8OzCkZng3sHIFlzczMTnojFeyXA4skzZdUAVwB3DkCy5qZmZ30RqTNPiIOS3ozcDdQBtwcEWskXZNNv0nSdGAFUAv0SnorsCQiDvS37Ejk28zMLA9GqoMeEXEXcFefcTeV/L+bVEU/qGXNzMxscPwEPTMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5wbsWAv6XmS1kvaKOnafqZL0r9l01dKenLJtC2SVkn6raQVI5VnMzOzPBgzEl8iqQz4NPAcYDuwXNKdEbG2ZLbLgEXZ5ynAZ7K/RZdExN6RyK+ZmVmejFTJ/gJgY0Q8EhFdwG3A5X3muRy4JZL7gXpJM0Yof2ZmZrk1UsF+FrCtZHh7Nm6w8wTwA0kPSLp62HJpZmaWQyNSjQ+on3FxDPM8LSJ2SpoK/FDSuoj42R98SboQuBpg9uzZrFq1CoDp06dTVVXF5s2bAaitrWXu3LmsXr0agLKyMpYsWcKmTZtob28HYOHChbS0tLBnzx4Aqg5V01sYQ11bAwCd5eM5MG4yU5q3ANCrMeytn8vEA9sZ09MFQFPtHKo7W6jqPADAgeophERdWyMAhypqOFg1gcktWwHoKZTTVDeHSS3bKOvtBmBv3VzGd+xnbFcrAC3jpqIIattTvjoqa2mvrGPSgXSddLisgn21s5ncvJVCHAZgT/08atv2Utl9MEtjGoXew9R0NAHQXlnPoYpxTGzdAUB32Vj2185kSvMWFL0ANNbPp76tgYrutH2ax89gTE8n4zv2AdA2dgJd5VVMaN2Z0hhTxf6aGUzdvznbjaJxwnwmtO6i/HBH+t72alpbW2lsbByy/TRz5kwmVgZnTEz53ntIbGwWF05Pw129sLyhjHOm9DJuTPp5PdBYYOa4YMa4NLyhuUBvwOkT0jINHWLrAXH+tDR8qEc80FjgvKm9jC1LyyxvKDC3NphWlYbX7y9QECyqT8vsahM728R5U9Nw22Hx2z0Fzp/WQ0V2yX3/7gIL64PJY1MaD+0rUFkGp9alZbYfFHs6xLlT0nBrt1i5t8CF03soy46e+3YVWDwxmFiZ0ljdVGB8RTCvJg1vbRXNneKsySmN5i6xpqnARTN6ULan7ttVxpmTeqmvSMus3FugoaFhyPfTobFj2T1xIgDjOzqY0tzM5hmpMq+st5f5u3ezdepUusak09TchgZaxo+nZdw4AKY2N6MIGiZMAKCmvZ1JBw6wZfp0AMb09DCvoYEt06ZxuKwMgHm7d9NUW0trdTUA0/bvJyQa6+sBqGtro+7gQbZOmwZAxeHDzG1sZPP06fQU0o6av2sXe+rrOVhVlbbHvn0cLitjb10dAPUHD1LT3s62qVMBqOzuZs6ePTwyYwa9Sjtqwc6d7Jo4kfaxY9P2aGqis7ycptpaACa0tlLd2cmOyZMBqOrsZFZTExtnzqRo4c6d7Jg0iY7KSgBm7d1Le2UlW4fwvDdz5kzKy8vZf/bZaXs0N1O9bRvNT3oSAIXuburWruXAaafRk22P2oceonPKFDqzvFdv24Z6e2k75ZSUxr59VO3aRcuZZ6Y0OjupW7eOlsWL6c3WpW7NGjpmzKAr+32Me/RRolCgfc6ctE337qVyzx4OnHFGWpeODmoffpiWJUvoLS9P+2HVKtrnzKEr27fjNm8mKipon5XKkGMbG6nYv58Dp5+efi9tbdRs3Ejz0qVE9nupf/BB2ubNozvbt+M3baKnupqO7Hc6dvduyltbaV20KKXR2krNI4+w/6yzQIIIJqxcSeupp3K4pib9TjdsoLumhkPTp7Nq1aoh3U9Hooi+MXfoSXoqcENEXJoNvxMgIj5YMs9ngXsi4mvZ8HrgmRGxq09aNwAHI+KjR/rOZcuWxYoVQ9eX70O/cXeBoXbtuZOHJd1L3/fdYUn3ZHb3dS8Y8jRbbrxxyNM0qLv++iFP89dXXjnkaRo8+dZbhzQ9SQ9ExLL+po1UNf5yYJGk+ZIqgCuAO/vMcydwVdYr/0KgJSJ2SRonqQZA0jjgucDqEcq3mZnZCW9EqvEj4rCkNwN3A2XAzRGxRtI12fSbgLuA5wMbgXbgtdni04A7lKq/xgBfjYjvj0S+zczM8mCk2uyJiLtIAb103E0l/wfw1/0s9whw9rBn0MzMLKf8BD0zM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLOQd7MzOznHOwNzMzyzkHezMzs5xzsDczM8s5B3szM7Occ7A3MzPLuREL9pKeJ2m9pI2Sru1nuiT9WzZ9paQnD3ZZMzMzG9iIBHtJZcCngcuAJcDLJS3pM9tlwKLsczXwmWNY1szMzAYwUiX7C4CNEfFIRHQBtwGX95nncuCWSO4H6iXNGOSyZmZmNoCRCvazgG0lw9uzcYOZZzDLmpmZ2QDGjND3qJ9xMch5BrNsSkC6mtQEAHBQ0vpB5zBfJgN7RzsTR/PO0c7A6Dsh9hOA3jPaORh1J8y+4oYbRjsHo+3E2Vdf/vJQp3jKQBNGKthvB+aUDM8Gdg5ynopBLAtARHwO+NzxZvZEJ2lFRCwb7XzYkXk/nTi8r04c3lf9G6lq/OXAIknzJVUAVwB39pnnTuCqrFf+hUBLROwa5LJmZmY2gBEp2UfEYUlvBu4GyoCbI2KNpGuy6TcBdwHPBzYC7cBrj7TsSOTbzMwsDxTRb/O3ncAkXZ01adgTmPfTicP76sThfdU/B3szM7Oc8+NyzczMcs7B3sxslEgaJ+kjo50Pyz8HexsWkgrZo47tCU6P8flgmGXbuUySACKiDXi7pNNGOWt2DCRdJOl/Rjsfx8IHtw2LiOiNiJ7Rzof1rzSwx2N6JY2RNHU085Y3/WzrnogIScW7ob4DvGh0cmdHU3KBVhovdwNnSqoerXwdKwd7O2bFUklpCSUbLmR/J0j6Y0nflnSHpEtKp9vIklQnqTz7v1ii7C2ZPlXSCyXdCGwFPinpeaOT2xNbsYqk+D/8wbaeIemdkt4HnJuN/g5+38cTRrGWq3i+KrlA6y2prdxMeoz7M0Yto8fIJ18bNEnTJb2F7AdeUkKplbQ0OxjmArcCfwl8HvgScEs2f+9AadvQyU5UFdn/zwSuBCZAOnFJOkXSVZKeny2yBPhXoCsiZgL/A9ww0vk+0Ul6GvCcyG5xyrb1RElPl3SdpKXAB0lPAW0BbpI0n7S9nzRqGT/JSRpfPF7gd8G9t3i+yqa/RdIDwKck/VG2j1cAJ8xF8Ug9LtdOQFlpcDFQHhG/BhqBL0XEgWx6DXAz6bXEDZK+HRGfkrQZqI6IO7P5Pi7pooi4T5KKJ0MbepKmAcuAVaRS+s+AnwL12fRLSIH9N8BYSYuBTwBbgIeyZL4NvF/S7IjYPoLZP2GUlPpKL2DLgRskdQPzSNuxEXgvsA4YD5wVEU/O0qgDroqIGyU1SXpqRPxyBFfjpNXnPHQ16Umt92bT6oFnAc8h7b+fkYL6K0hvYf2EpEuBHwLvH9mcP34u2dvv9O08BPQCC4E/lbQIOBN4sqRPSqoEngvsiIhzgNcDr5d0HvBbYJukmVk6PwVeXPyaEVmZk0BWgu+7PbuAZwNvlvR24BxSafJN2fR3AG+OiFcDHwD+ApgEbCC9VrosIjqANcClw78WJ4a+TVB9Sn4zstFnki60/gEYFxF7gVZgfUTcRtrOP8pqvyBdcE3I/v8h8NLhXYuTW+nx0qfAUQP8h6SPKT2t9WnAV4HvA/9COobWRMR64CvA/aRz31qguuQ894TmYH8S6xso+nQeKss62L0G+Gvgv4FpwDhSCaWOVJ2/P1t2O/AD4GXAL4C5wJQs6TtI7zSw49A3uGcBJ7JpC7MOX5WkoHE5MJF0QtoOjMsCVgVZKT8iVgIPA08HfkIKVGOz5H9Fqv4/6UiqPkq7e6Wk50n6J0krgTsknQ38B2m7fTgiPpXN/mtgevZ/B2n/XJgNjwEWZP/fQzp2bAj0U3D53fEiqUKpT9HSrA1+Hul89Svg66RjphO4NyJaSOexhyTVZb+DHmBKROwmtd2fEBfFDvYnodKOJyXjKiWdkXUeWgf8o6RxpGr6bwNvjIgfkaojW4CzgJ/z+x1UHgTmkw6AetJBBOm9B2skFdxuP3j9XIz19tlnl0t6laTvkYL1/yOV7N8OfAP4SEQcAjaRLtAWki7ISnt+HyS9c2IV8BTS60EBvgz823Cs1xORpHMlfULSvaQT/rLs9xpKHU6vULrdSsBM4ENATUScBXyPdHx0kt7h8YqSpL8BvDD7/5ek4P/Xkt5Pqm35Wsl8J0xnrycaSfMkFTs8/l7BpWSe87Lt/i3g3cAXgLkR8VqgGfjfiNhDujj+DXBetuhqUml/aTZcyWM1lCuA04dtxYaQg/1JqKT68YKseh7gLaTOdL3AK0mlwvdHxLeAR4CnZvPtA3aQAsNdwFRJl0laQGrjujU76S0nteMXIqI7Ii5zoD82fU5UVZJeLOl6SUuy0VeR9tvfkk5MC0iB5ZekoP1H2XwP81iTzO3ABZJeLukGUonmrohYC3wY2JN997aIuH2YV3HUZSXAGuDvSC/g+mvSNu3KOpw+g/SWzb8gNYG8KyI2k5qqOrNk7s7SOhv4Lqldt+hbpJoTIqIjIr5EalY5CLwzIr6aTevN0rVBympgPippNamT41WSFmbTJku6RtLXJD0nW2QG8CrSRfCzSMfFy7NpvyBr6oqIbuA+0vkM0t0Sy4H3SHowS6d4kfahiLh2WFd0iDjY54xK9DNtYvb3FVn14/XAayU9lxQEAH4REQ+Qfsx/nI3bBcwBiIj9pM5cp5ICyOtIVf1fI10d35vN98GIuN8B/siK1Y0DTFukxx628jHgBaSq4FdLegrwOdI1wcM8tu2flTWptJHaiImITaTgckE271+Qqh6rgPdERHt2UfaNiGgfrnUdbX2PCel3nbTeBXRExLsiYmVEbImIB7PZ/hj4SUS8FPhn4BxJF5Hac4vPI1hNqto9I+vI2i7pPZJuiYidwL2STil+b0R8PyI+5M54x+3PSZ0iXxIR5wH/RDoOAP4euJjUhPiPkv6KVFq/j1SQgRTEF2W/i2+S2uGL7iWrAYuI/RHxWeA64E8j4kUR0ZBNO2GeJeJgnxOlHU+KJFWVTL+CVCUP6SA4G3gDqT3xXRHxCClAdGTV/CuASkmzSQfJVElvlPRsUolmP3BqRPwKeH1EXBARb8suBmwA/VTNR/GEoXRr46nZ/7WkUuYzlDo91pJOYJBOQpeQShtTJFVmpZGVwEyl24h+DfyJpG8q3WK3DlgtqToi1kXEayLiHVlwyvVtkaXHRun4kuHDwM5s3oqS5epI2311NupXpN7Zk0lNVXWSpkTEQVJHvHOy5f+G1PfhXkljIuJZEfHocK1fXik94Gl+6T7Jxhfj1htIhZMNSn2M9kTEXkmnk2qsPhYR3wBuIvWTKO7Lhdny95EuiBeTamDGSvqepK8CDwAfU/bgo+zC8FcRsXF413r4+Na7E1B28iqUBImyiOhRulVuHqlqqpt0u8gzspLjFOAH2Qnsz0hVjYdIP+rrs6QfJXXSejAiDkt6BHh5RPyzpBWktsjPAN+J7LY6gOxkZ0dQLEUWA4we6yz3bFK14ItIt74tBZ5PChazSSX6JcBlpNqXFaTalPuzC7p9pCaWe0gBqxL444j4qlKfi6ps3n0jta6jKTs595ZevGTbqQ54Mqln/M7i/pA0lnSROzabt6tkuRZJh4EZ2QVVp9K98v8LbCTtv4tJVcjfL/m6FaT9ZMcoOy4KEXGY1Bn4FaQe8FskVWVNIb1ZQF8L7M0W7S2pqSl2VG3Ipv0YeDOp1L8TODe7CHtU6Ql450bEQ5JeQ7qQ+3nWFPnZYr76XiieiBzsn+Cyk9eMiNhWHJf98IqBfl5EbMlOWg+TOvo8SnqQzQskvTgivinp6aSOR12kEsqXi+2FJX5Oaqf6GnAgS6M2+86PkQKPHUVWGzIrIv6vOK4ksDwtG/yJpFmk9uC3AW+IiAZJv5Z0cUT8TNKTSE0lTaSOdW+LiF3ZdxQ7Qq4hVcvfQ6ptuY5UiiciPj8yazw6su3zLNLFzk+Bz2RBonhBfF5ErJD0AdLvek026R0l1bCHJO0GniZpclYyHJNd7I4j3WP9clKpbx9pXzxAOj7+mXTLIhFxz8iteX5lF2nFC7VqUtX6yyU9DHycrJmQ1L9CpLuCisdXsQZnTfbvs4AvRkSjpElAkPobXUoq3a8j9dXYlC1XbLrJJQf7JyD9/gM7qoEbSaW54vQ60oNQzga2S/rPiPiWUkeV6oj4ZDbfh4AXSmokXQUviIgOpSdBvUzS/aRHdj4H+CLpXt/JpGpNIt0bbP0oKUUU95dK2u/KSSemiySdFhEPKz1+tvhwlUOS6iPidkkNwKZi8AE+CvxFto+/DcyJiF9KagU+KukXpJNVl6Q3kDp71cDvSqX3jMDqjzpJy0gXrTeQ2l5fAoyX9GVSNfosYK7SfdPtpKAh0gXxQ5I+kZXeIG2z55I65l2fBfonkS4ibif1UXkTcAbwb/FYR7qfDPNq5lJW0xh9m46ymskXkWq2DpCOhV5Sp+BXRnr+A6SFt2XntfMkfSdSJ+DImr/qSQWbyyU9lVRb9pWI2C2pk1Rz2ZgdwyuHf42fICLCn1H8kKqsIJ2ICn2mKfu7i3Tiv59UTX85qSQIqVR3L+lxm/8P+FyfZV9LKp28m1QlD+lgeD2pzeq/SSeyutHeFifChxTIn5b9XzbAPBeTTlIrSbUjNaRakbNIF9h3kkrqZaQq4HeV7nPgraSg9HHS/byQalheTLqX+2XAhNHeFqP9AfaV/P8yUofFS0gltTdl419K6jm/GvgR6eLglH7SuohUK/Y1UhX8b4B3AmNGez1P5E92XnorKfi+qfSYyX7rZ5YMv5TUdv5q0oNsRHo65x2k2xyLyxTPbcW7H95N6n82h9RJ7y9LvvuvgWeM9nZ4Inxcsh99jZLOj1RaiKyUeDGpxH2bpAmkW98KwOWRqnr/FrhM0p+RSuL3kF7K8Av+8MEcXyMdRO8jHThERDPwn9nHjs0pwO2STolUBVxNChRXkUojN5KeQ7AG+HxEfFLSZFK7+3dJQfw3wG2R+ll8k/S4zn+SVB4R3ZK+Qqo6flFEvA0g0iOKv5l9LNkk6U8j4n9IfVK6Sdv352TNT6Rmqy3AtRGxrrhgcVsXhyM9yvn/SCXLzRHx25FZhfwaqPYF+EhW6/g84GBWW/VuUon+J6QLs+K+aif1qbgEuDOKET+Vyh+U9GHSRfAK0jnyp6RbT4mIVaTnRxiPXSHZMCut9s2Gi+2CPwb+JyL+PatyfBHpoQ6TgZaIuFLSs0gnq+dkweWvSB27XhsRjVl6xU5624BLImJjSSekhaRAf3fkuNf1UMn6ScwhPQq4q59p3yNdPG0hlSTqSBdOl5NqZ16t9MKg50bEC5WeZfAm4JHImliytCaSVVNGRKHP90yJ9IAPG4Ck95C2+e2k2xI/ERHfkHQ18JSIeH22ja8j7aMPkZpALiE9BKehT3p+b8MQk7QvIoq3/L6M1FzyNdLF7D9FxCZJPyN1hltF6r/SRbqo3gb8I6nXfVVE/KOkWRGxo08z2hhgUt/9ab/Pt94Ns5JOI31PIsXh23ns9ZbTSU90eh3pHtKKrK33/4CFWQBoJ5VcZpE6DVVnB9HrszTuJd128rvvjIiNEfE9B/qBKT2KtljTVewFPDObVpX9VaQOYA+S3m62lVStvyMivknqR1GfddD7PunBQ0TEBlK1/RslXSjpdZJuBy7Oalnem9Xg/I4D/aB8nVQD1ki6/fMb2fg1pFsSx0e6C+F9pKr9m0jVw7eSOtr9Hgf6YbFJ0p9m/08l9ZA/j9TB+JFs/H8CV0R6xsFrI+KvSA8wmka6U+VO0vs5VpA63f3evoqIww70R+dq/CGkQd72k00qzvMt0skIUhXWUyVVRLrNZxOpTev7WY/hc4AfRsRySZ8kvaRhCekK+N+z7yt9VKcNUgyiF3DJCeYeHrvn/T7ShRekNnqApdk+K0g6n3Rb132ktsu3k55T8C1SGzIRccPwrFW+RcR6SXtJna+KDwbqBXaTLsLOId1GtU/ShyPiA6OZ35PUt4F3Kb1d8YWkKv3dwCdJfVYOkz2dDkDprqEzSZ0jA1iXNZe9iNSR1QWWx8nB/nHScd72k10EKCK2S+qQdBapGusA6V73+0ilkSVZ1f3Hgb+T9CXSYzb/U+mVso0jvOonrKHoBZxZDkzOLuIeApZKmhsRWyVtAc4nlez/gXRB1ky6be4HpBK+DZ21pI6pN5JqKntJF7+vi+w2RUilv9HJ3knv66QAfxNpn6zN+iUdAP4m65/yItKjuiF1qjuT1FR2VxboldWO2XFwsH8chvC2n+KV7b3AiyPivVmweDop2G8Ankl60cJ/kXoV74qI1uwAcKAfQD8XY5+Nxx5CJGBJRKzJZn8hqYPd7aQq+p2kTnMfITtGStsIs06Sj5A6Uv6a9Ea/ZaT3xz8AnKr0CuAvRUTxqYU2PG4ie3lPMaBn/Sx2HWkhGxn91L4U+yr9PfBGUqfVraQ7H4iIz/SThptXhoA76D1O/XQ8eRap48l/AP+Sdbh7Kal6agyp6urnwBcie3RmsdpR0p+TXjpzetax68yIuCZrFhiftevaIPW5GNtMuhi7PyJ+rxcw6e6Fd5MCxirS/llDqmafSXoxzDei5GmBJd/xAWBeRLxS6b3xK7OSu5mVkHQP6Y1yN2bntOJrtMdFRNsoZ++k4ZL943fct/2UVCd/l8c62H0+0mtJiyWV5uFekbzJmk+aI+K9AJK6gOcqPdd/CullFsVewC8jvcr1baT+D6W9gB8iPVb4zn56Ad/KY7cyfnSEV9HsRPIHtS/Z/w70I8i98R+/YseTd5N6bv80InaQSovF18beRypZ/oOk0yS9JeuFPbE0oYhoj4jnZf8fGrE1yLdh7QUc6WUy3x6xtTE7QUXEbRHxqdHOx8nOwf7xG9LbfmzIlV6MvZL0FMG7SY88Lb5SdjmpNI+kpyu9BvNtPNYLeBWp89AFEXHLCOffzGzIuM3+OCg9m3le6W0/khYAnwI+EBE/z+Yb497AI0vprVgPkR5A9IuSXsDfJr0F6yukRwlXZB0j30jqBXwvqRdwa0mVvZnZCc3B/jj07XiS9TKtID3Nyb2BR1mfi7Hi/llM6gX8NLJewBGxflQzamY2zBzsj4OkK4DJbo96YnIvYDOzxMHecssXY2ZmiYO9mZlZzrk3vpmZWc452JuZmeWcg72ZmVnOOdibmZnlnIO9mZlZzjnYm5mZ5ZyDvZmZWc452JuZmeXc/wd+piAXp4aM8QAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Data for visualization\n", "categories = ['Pre Intervention', 'Post Intervention', 'Pre Control', 'Post Control']\n", "means = [mean_pre_inter_Perf, mean_post_inter_Perf, mean_pre_control_Perf, mean_post_control_Perf]\n", "\n", "# Create a bar chart\n", "plt.figure(figsize=(8, 6))\n", "plt.bar(categories, means, color=['skyblue', 'steelblue', 'lightcoral', 'indianred'])\n", "plt.title('Mean Values Comparison Performance', fontsize=16)\n", "plt.ylabel('Mean Value', fontsize=12)\n", "# plt.xlabel('Categories', fontsize=12)\n", "plt.xticks(rotation=15)\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "plt.savefig('Performance Comparison.png', format='png', bbox_inches='tight')\n", "\n", "# Display the chart\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 217, "id": "4a0634af", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Data for visualization\n", "categories = ['Performance Intervention', 'Performance Control', 'SE Intervention', 'SE Control']\n", "means = [deltas_performance_intervention.mean(), deltas_performance_control.mean(), deltas_intervention_SE.mean(), deltas_control_SE.mean()]\n", "\n", "# Create a bar chart\n", "plt.figure(figsize=(8, 6))\n", "plt.bar(categories, means ,color=['skyblue', 'steelblue', 'lightcoral', 'indianred'])\n", "plt.title('Mean Values Comparison: Performance and SE', fontsize=16)\n", "plt.ylabel('Mean Value', fontsize=12)\n", "plt.xlabel('Categories', fontsize=12)\n", "plt.xticks(rotation=15)\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "# Display the chart\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 218, "id": "55d1e9f2", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Data for visualization\n", "categories = ['PU Intervention', 'PU Control']\n", "means = [mean_PU_intervention, mean_PU_control]\n", "\n", "# Create a bar chart\n", "plt.figure(figsize=(6, 6))\n", "bars = plt.bar(categories, means, color=['steelblue', 'indianred'])\n", "\n", "# Add values inside the bars\n", "for bar, mean in zip(bars, means):\n", " plt.text(bar.get_x() + bar.get_width() / 2, bar.get_height() - 0.5, # Adjust y-position\n", " f'{mean:.1f}', ha='center', va='top', fontsize=10, color='white') # White text for visibility\n", "\n", "# Add title and labels\n", "plt.title('Mean Values Comparison: Perceived Usefulness', fontsize=16)\n", "plt.ylabel('Mean Value', fontsize=12)\n", "plt.xticks(rotation=15)\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", "\n", "# Save the figure locally\n", "plt.savefig('PU_Comparison.png', format='png', bbox_inches='tight')\n", "\n", "# Display the chart\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 219, "id": "acd69581", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Percentages of negative values\n", "datasets = ['Performance Intervention', 'Performance Control', 'Intervention SE', 'Control SE']\n", "negative_percentages = [\n", " (deltas_performance_intervention < 0).sum() / len(deltas_performance_intervention) * 100,\n", " (deltas_performance_control < 0).sum() / len(deltas_performance_control) * 100,\n", " (deltas_intervention_SE < 0).sum() / len(deltas_intervention_SE) * 100,\n", " (deltas_control_SE < 0).sum() / len(deltas_control_SE) * 100\n", "]\n", "\n", "# Bar Chart\n", "plt.figure(figsize=(8, 5))\n", "plt.bar(datasets, negative_percentages, color=['blue', 'orange', 'green', 'red'])\n", "plt.title('Percentage of Negative Values in Different Datasets')\n", "plt.xlabel('Datasets')\n", "plt.ylabel('Percentage of Negative Values')\n", "plt.ylim(0, 100) # Set y-axis limit to 0–100%\n", "for i, v in enumerate(negative_percentages):\n", " plt.text(i, v + 1, f'{v:.1f}%', ha='center', va='bottom', fontsize=10) # Annotate bars\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 220, "id": "5067eb89", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Dataset Percentage Negative Interpretation\n", "Performance Intervention 27.272727 Decrease in performance after training\n", " Performance Control 36.363636 Decrease in performance after training\n", " Intervention SE 36.363636 Decrease in SE after training\n", " Control SE 54.545455 Decrease in SE after training\n" ] } ], "source": [ "\n", "# Calculate the percentages of negative values for each dataset\n", "data = {\n", " 'Dataset': ['Performance Intervention', 'Performance Control', 'Intervention SE', 'Control SE'],\n", " 'Percentage Negative': [\n", " (deltas_performance_intervention < 0).sum() / len(deltas_performance_intervention) * 100,\n", " (deltas_performance_control < 0).sum() / len(deltas_performance_control) * 100,\n", " (deltas_intervention_SE < 0).sum() / len(deltas_intervention_SE) * 100,\n", " (deltas_control_SE < 0).sum() / len(deltas_control_SE) * 100\n", " ],\n", " 'Interpretation': [\n", " 'Decrease in performance after training',\n", " 'Decrease in performance after training',\n", " 'Decrease in SE after training',\n", " 'Decrease in SE after training'\n", " ]\n", "}\n", "\n", "# Create a DataFrame for the table\n", "summary_table = pd.DataFrame(data)\n", "\n", "# Display the table in the notebook\n", "print(summary_table.to_string(index=False))\n" ] }, { "cell_type": "code", "execution_count": null, "id": "62459c05", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.8" } }, "nbformat": 4, "nbformat_minor": 5 }