Noam Siegelman|Louisa Bogaerts|Ram Frost
Measuring individual differences in statistical learning: Current pitfalls and possible solutions
Hebrew University of Jerusalem|Ghent University|Hebrew University of Jerusalem
research statistical learning sl focused mean success rates participants detecting statistical contingencies group level recent years however researchers shown increased interest individual abilities sl either predict cognitive capacities tool understanding mechanism underlying sl research enterprise employed sl tasks originally designed grouplevel studies argue individual difference perspective tasks psychometrically weak sometimes even flawed particular existing sl tasks three major shortcomings 1 number trials test phase often small extensive repetition targets throughout test 2 large proportion sample performs chance level data points reflect noise 3 test items following familiarization type identical level difficulty factors lead high measurement error inevitably resulting low reliability thereby doubtful validity present novel method specifically designed measurement individual differences visual sl novel task offer displays substantially superior psychometric properties report data regarding reliability task discuss importance implementation tasks future research