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