A spurious correlation between difference scores in evidence-accumulation model parameters.

ABSTRACT: Evidence-accumulation models are a useful tool for investigating the cognitive processes that give rise to behavioural data patterns in reaction times (RTs) and error rates. In their simplest form, evidence-accumulation models include three parameters: The average rate of evidence accumulation over time (drift rate) and the amount of evidence that needs to be accumulated before a response becomes selected (boundary) both characterise the response-selection process; a third parameter summarises all processes before and after the response-selection process (non-decision time). Researchers often compute experimental effects as simple difference scores between two within-subject conditions and such difference scores can also be computed on model parameters. In the present paper, we report spur

SUBMITTER: Grange JA 

PROVIDER: S-EPMC10615941 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature