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Project overview ---------------- In this project, we calculated multiple reliability metrics for the Alternating Serial Reaction Time (ASRT) task, in a large sample of 180 subjects. Data ---- The ASRT_master csv file contains the only dataset that this project was based on. We now offer a short explanation of each variable. - Subject: Participant ID - Block: Block number (out of a total 45) - ACCmean: Mean accuracy of subject per block - RTmean: Mean RT of subject per block -CorrectResponse: Key on a standard (Hungarian) QWERTZ keyboard, that corresponded to the correct response in a given trial - event: Trial location among 4 possible locations (same information as CorrectResponse, but in the more abstract space) - finalRT: Final reaction time of trial, i.e. duration from stimulus presentation to correct (not necessarily first) response - firstACC: Accurate or not. Based on first given response. 1 = accurate, 0 = inaccurate - firstRESP: First response key pressed - firstRT: First reaction time of trial, i.e. duration from stimulus presentation to first (not necessarily correct) response - LearnTrialList.Cycle: Sequence cycle (8 trials in a sequence) - TrialType: Type of trial, based on generative model. Prac = Practice, R = random, P = Pattern. - TripC: Triplet - TT: Triplet type based on probability, see the manuscript for more details on how this is calculated and what it means. H = High-probability, L = Low-probability - epoch: Epoch (1 epoch = 5 blocks) Code ---- There are two R scripts, associated with the results of this project. ASRT_reliability_main.R calculates the main analyses. It loads and preprocesses the master datafile, then proceeds to calculate the various reliability metrics presented in the manuscript. ASRT_reliability_permus.R performs the permutation based analyses, in order to estimate the scaling of obtained reliability with task length and sample size. Note that due to the permutations, these scripts my take a relatively long time to run. You can change the nr of permutations by changing the variable N, in the beginning of both scripts.
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