This folder contains the analysis scripts and the results. Abbreviations used for the file names are given in parentheses. The analysis scripts were programmed with R within RStudio. These files are given in the folder "R scripts". There were 5 files: - `1. trimming and aggregate`: for the merging and trimming procedures for all trials - `2. ANOVAs & t-tests`: for the analyses from the standard null-hypothesis significance testing (NHST) framework and for the Bayesian hypothesis testing approach - `3. plot_paper`: for the plots presented in the article The folder `ci` contains helper functions. <br>A visual screening of the data revealed that some participants performed some blocks in some tasks at chance level. Thus, for each participant and each task, if the mean accuracy of a block was smaller than 2.5 standard deviations (SD) than the corresponding mean accuracy averaged across all participants, the block was removed from the dataset. If two blocks or more were removed, the task was removed from the dataset. If a task was missing, the participant was removed from the dataset. This concerns 13 participants. Analyses were performed without these 13 participants (`crit_sd`). Moroever, participants with missing data were removed (`withoutMD`) . <br> The data after merging and trimming are presented in the file called "datasets". Results are presented in the file `results_crit_sd`.This folder contains: - a subfolder called `logRT_withoutMD` in which the analyses on the RTs are presented after a logarithm transformation was applied to all RTs. - a subfolder called `arcsinER_withoutMD` in which the analyses on the error rates are presented after an arcsine square root transformation was applied. - a subfolder called `rawRT_withoutMD` in which the analyses on the raw RTs are presented. - a subfolder called `rawER_withoutMD` in which the analyses on the raw error rates are presented. - For each dependent measure, the following analyses/files were computed: - analyses of variance (ANOVAs) and t-tests from the standard null-hypothesis significance testing (NHST) framework (`anova&t_tests`) - Bayesian ANOVAs and Bayesian t-tests (`anova_bayesian` and `t_tests_bayesian`) - means and confidence intervals (`means&cis`) - list of participants (`participantlist`) All data and results files are saved in text format.