Dataset: Implicit Learning of Parity and Magnitude Associations with Number Color

Dataset for accepted manuscript. SAV files for SPSS or open-source PSPP (https://www.gnu.org/software/pspp/). Behavioral data (accuracy and response time) for all 54 participants (human adults) included in the sample. Separate datasets for the parity and magnitude experiments. Variables: Subj = randomized subject identification number Group = Experimental (category-level) or control (item-level) Group 1 = Control Group 2 = Experimental Acc_Inc = Accuracy (proportion correct) for incongruent (low-probability) trials Acc_Con = Accuracy (proportion correct) for congruent (high-probability) trials Acc_Effect = Congruent minus incongruent (%) RT_Con = Response time (s) for congruent (high-probability) trials RT_Inc = Response time (s) for incongruent (low-probability) trials RT_Effect = Incongruent minus congruent (ms) DD_Acc = Explicit association report task (with double-digits) accuracy (proportion correct) DD_RT = Explicit association report task (with double-digits) response time (s) TTR = Tempo-Test Rekenen score of mathematical fluency; score from 0-200 Data across 5 experimental blocks Acc_Inc_1 ... Acc_Inc_5 = Accuracy (proportion correct) for incongruent (low-probability) trials Acc_Con_1 ... Acc_Con_5 = Accuracy (proportion correct) for congruent (high-probability) trials RT_Inc_1 ... RT_Inc_5 = Response time (s) for incongruent (low-probability) trials RT_Con_1 ... RT_Con_5 = Response time (s) for congruent (high-probability) trials