Analysis code & Data for the combined Cogcarsim studies 2017+2019

CODE--------R markdown script 'cogcarsim_analyses.Rmd' will recompute the analyses from Palomäki et al 2021, “The Link Between Flow and Performance is Moderated by Task Experience”. Precompiled HTML output of this script is also provided.To run the script, download all contents of this Figshare object, load cogcarsim_analyses.Rmd in RStudio and knit (press Ctrl+Shift+k on Linux).Note also that to export figures, uncomment the corresponding lines of code (e.g. line 116: #ggsave(“figure4.pdf”, width=12, height=6)DATA-------SQL databases cogcarsim2_2017.db & cogcarsim2_2019.db contain the CogCarSim log data of 18 subjects, 9 from 2017 and 9 from 2019.background_2017.csv & background_2019.csv contain original profile data on 18 subjects. background_cogcarsim_2017.csv & background_cogcarsim_2019.csv contain cleaned-up, mutually compatible profile data on 18 subjects.fss_data_2017.csv & fss_data_2019.csv contain Flow Short Scale self-report data on 18 subjects. fss_learning.csv combines them and adds variables on learning derived from models fitted to data from the SQL database files. This file is generated by the accompanying R code cogcarsim_analyses.R