README
*** Nzoia WeShareIt Propensity to Trust (PTS) and In-game Trading Dataset*** 
Authors: Onencan, A.M, Enserink, B, Van de Walle, B
Policy Analysis Section, Multi-Actor Systems (MAS) Department, Faculty of Technology, Policy and Management, Delft University of Technology
Corresponding author: Onencan, A.M
Contact Information:
A.M.Onencan@tudelft.nl

Delft University of Technology - Faculty of Technology, Policy, and Management
P.O. Box 5015 2600 GA Delft,
The Netherlands

***General Introduction***
This dataset contains data collected during game sessions in various county governments within the Nzoia River Basin, located on the Western part of Kenya, as part of Abby Muricho Onencan's Ph.D. Thesis project. 

The dataset contains three sets of data. First, 18 pre-game questions derived from the 21-question Propensity to Trust Scale, answered by 35 respondents in 7 separate game sessions (each comprising of 5 respondents). Second, 18 post-game questions derived from the 21-question Propensity to Trust Subscale, answered by 35 respondents in 7 separate game sessions (each comprising of 5 respondents). Third, In-game trade data from 7 separate game sessions indicating how much food and energy (hydro-electric energy) was traded in each round for the seven separate game sessions. The in-game data also indicates who bought and sold the food and energy and the cost of each trade/exchange. 

The data was collected in Busia, Bungoma, Kakamega and Trans Nzoia County Governments in July 2016. This research project was made possible by a grant from The Schlumberger Foundation, Faculty for the Future Scholarship.

Details regarding the game design, application and assessment are available on the Delft University of Technology repository, doi:10.4233/uuid:3a1f1e27-274b-4459-8a14-ba3068a9cb4a. This dataset is being made public both to act as supplementary data for publications and the Ph.D. thesis of Abby Muricho Onencan and in order for other researchers to use this data in their work.

***Purpose of the game data assessment***
The purpose of these experiments was to investigate the relationship between Cooperation and Competition; Trust and Trustworthiness; Trust and Distrust; and (Dis) Trust, Complexity, and Uncertainty.

***Assessment equipment***
The data was collected via the WeShareIt project GameLab website (http://weshareit.gamelab.tbm.tudelft.nl). The website was linked to the SurveyMonkey pre-game, and post-game PTS questionnaires and players were provided with access using five project iPads. 
SPSS Statistics Version 25 was used to conduct three methods. First, Principal Component Analyses (PCA) for the two PTS subscales. Second, Chi-Square test for goodness-of-fit. Finally, The multidimensional scaling (MDS) ALSCAL procedure. Tableau Professional Edition version 10.2.3, visualized all the trades conducted by the county governments, using the in-game data.

***Description of the data in this dataset***
The data included in this data set has been organized per respondent for the pre-game and in-game questions and per round and game session for the in-game trade data. There are eight questions on trustworthy and ten questions on trust. There are no specialized formats used in the dataset. Missing data is recorded as #NULL!. The following abbreviations are used:
T = Trust
TW = Trustworthy
Post_T = Post-game data on Trust
Post_TW = Post-game data on Trustworthiness