fsQCA: prospective physicians' intention to use AI

This repository contains data and code for the analyses for the following paper:

Wagner, G., Raymond, L., and Paré, G. (2023) Understanding prospective physicians’ intention to use artificial intelligence in their future medical practice: A configurational analysis. Preprint submitted to JMIR Medical Education. doi:10.2196/preprints.45631.

• The data for both cross-sections is in the data directory.
• Column names correspond to the research variables and the suffix ...c indicates that the column contains the corresponding calibrated values.
• Analyses were conducted with fsQCA 3.0.
• The code in fsQCA_script_t0.txt is for the analyses at t_0 and the code in fsQCA_script_t1.txt is for the analyses in t_1.

Ethics approval by University of Montréal's ethics committee on October 29, 2019 (#CERSES-19-108-D).

Data and analyses are made available under the CC BY 4.0 license for reproducibility and reuse.