***Workplace design strategies***
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 interview data that were collected and analysed as part of Susanne Colenberg’s 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 identify interior design strategies for supporting social well-being in offices.
The data was analysed using content analysis and means-end chain analysis.  

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

• The consent form (in Dutch).
• The raw interview data: the de-identified transcriptions of the 15 interviews (in Dutch) saved as plain text files.
• An Atlas23 project bundle including the code system, which is also reported in an appendix of the corresponding journal article, instructions for coders, and the coded interviews (everything in Dutch)
• A Python script (saved as txt) for creating the implication matrix and counting the linkages at different cut-off levels. 
• An Excel file containing the linkages per participant and the codebook; this serves as input to the Python script.
The worksheet with direct linkages is also saved as csv-file.
• The output of the Python script: the implication matrix (csv). The xls file 'implication matrix' additionally contains the number of links at different cut-off levels.
This matrix is the input for creating the hierarchical value map in NodeXL, as reported in the corresponding journal article.

Note: to enable a quick glimpse into the nature of important links, a level of subcodes was created while identifying the individual ladders, for example, by distinguishing different ways of colour use. 
Aggregating the linkages at the parent level, this additional child level resulted in linkages within one design attribute (e.g. from 3 to 3) which can be explained by linkages between two child categories (e.g. from 3a to 3b, participant #3) of the same parent category. 
These within-concept connections were removed from the implication matrix in Appendix B of the article since in the article we did not include analysis at the child level.


