Supplementary data for the paper: Doubek, F., Salzmann, F., & De Winter, J. (2021). What makes a good driver on public roads and race tracks? An interview study. Transportation Research Part F: Psychology and Behaviour.

1) /Transcripts						Transcripts per question and participant, as well as per question. Names mentioned in the interviews have been replaced with XXX to preserve anonymity.
2) Category Statistics.csv				Counts of quotes for 156 categories.
3) Coded Passages.csv					Quotes from the transcripts coded for 156 categories. Names mentioned in the interviews have been replaced with XXX to preserve anonymity.
4) Document Statistics.csv				Matrix of counts of quotes for 156 categories.
5) Total number of mentions per subcategory.xlsx	Matrix of counts for a selected 74 of 156 categories. The file is read by Check_results.m.
6) Video-Ratings.xlsx					Assessment of driver performance (5-point Likert scale: Very bad – Very good) per video and participant.
7) Check_results.m					MATLAB script that generates the results that correspond to the figures in the paper and the results in Table 7. It reads Total number of mentions per subcategory.xlsx

The above files were exported from https://qcamap.org and formatted for improved clarity

* The two 20 categories defined in Table 2 of the paper, distinguishing between between race-track and public-road driving, as well as between low- and high-level drivers, lead to 74 categories with more than 1 quote.
* The abovementioned 74 categories were appended with 27 categories related to driving scenarios, 47 categories on selected topics out of the aforementioned 74 categories, and 8 categories on various discussion topics, 
  leading to 156 categories in total.
