***Workspace privacy predictors***
Author: Susanne Colenberg
Corresponding author: D.V. Keyson
Contact information: d.v.keyson@tudelft.nl
Delft University of Technology  Faculty of Industrial Design Engineering
Landbergstraat 15, 2628 CE Delft, The Netherlands

*** Introduction***
This dataset contains survey data that were collected and analysed as part of Susanne Colenbergs PhD project (2023) at TU Delft. 
It is made public to act as supplementary data for the dissertation of Susanne Colenberg and for other researchers to use in their own work.

The purpose of the research was to gain a better understanding of workspace design features that jointly predict satisfaction with privacy.
The data was analysed using ordinal regression analysis in IBM SPSS 25.  

***Description of the dataset***
The dataset includes the following files:

1) 'Workspace privacy.sav' 
The SPSS file including raw data, transformed variables (dichotomisation), variable labels and value labels.
The variable labes contain the questions as phrased in the questionnaire.

2) 'Workspace privacy' (csv)
This file contains the raw data from the online survey and transformed variables. The first row contains the variable names.

3) The questionnaire (pdf), which shows the value labels in case you cannot open the SPSS file.
The original questionnaire included questions that were used for different studies. 
The version in this dataset only includes the questions that were included in the study on workspace privacy, background variables, and consent.

4) The SPSS output containing details of the regression analysis that was reported in the dissertation.


