Title: Survey Data on Digital Citizenship's Effect on Detecting Deceptive Advertisements

File Name:
Digital Citizenship on Deceptive Ads.csv

Author: Emmanuel P. Paulino
Contact: 
empauls@gmail.com
Organization: De La Salle University Dasmarinas
Philippines

General Introduction:
This dataset contains Survey data collected from2,072 respondentsto examine the relationship betweenDigital Citizenship (DC) andDetection of Deceptive Ads (Score).  Respondents answered a 10-point quiz by viewing ten online advertisements and answering if it is deceptive or not.  "Score" column is the total of the correct answers per respondent.  Then, they answer 10 Likert Scale items on Digital Citizenship.  "DC" column contains the average of their responses for Digital Citizenship. It was discovered that DC as a predictor variable has a non-linear relationship with Score.  That is why "DC_2" and "DC_3" were formulated to perform non-linear regression.
The survey was conducted from September 1 to October 15, 2024.  Respondents are from different parts of Metro Manila and the province of Cavite.

Data Columns:
1. Age:
1 - 15 to 20yrs old
2 - 21 to 30yrs old
3 - 31 to 40yrs old
4 - More than 40yrs old

2. Gender:
1 - Male
2 - Female

3.Educ_Attain (highest educational attainment):
1 - Undergrad
2 - College
3 - Post-Grad

4. Online_Exp (How many hours do you spend Online for personal pleasure or enjoyment daily?)
1 - 1-3 hours
2 - 4-6 hours
3 - 7-9 hours
4 - 10 hours and above

5. Ads_Exp (How many times have you viewed online advertisements?)
1 - 1 - 10 times a day
2 - 11 - 20 times a day
3 - 21 - 30 times a day
4 - More than 30 times a day

6. Score 
Total correct items of a 10-point quiz. Respondents guess if the online ads shown are Deceptive or Not Deceptive

7. DC
The average Likert Scale responses from 10 indicators of Digital Citizenship
Response scale: 1 = Strongly Disagree, 5 = Strongly Agree.

8. DC_2
DC (DC^2) squared for quadratic non-linear regression

9. DC_3
DC (DC^3) cubed for cubic non-linear regression.
