Neue Publikation aus internationalem Kooperationsprojekt.

Abstract:

Performance on implicit measures reflects construct-specific and non-construct-specific processes.  This creates an interpretive issue for understanding interventions to change implicit measures: change in performance could reflect changes in the constructs-of-interest or changes in other mental processes.  We re-analyzed data from six studies (N = 23,342) to examine the process-level effects of 17 interventions and one sham intervention to change race Implicit Association Test (IAT) performance.  Diffusion models decompose overall IAT performance (D-scores) into construct-specific (ease of decision-making), and non-construct-specific processes (speed-accuracy tradeoffs, non-decision-related processes like motor execution).  Interventions that effectively reduced D-scores changed ease of decision-making on compatible and incompatible trials.  They also eliminated differences in speed-accuracy tradeoffs between compatible and incompatible trials.  Non-decision-related processes were impacted by two interventions only.  There was little evidence that interventions had any long-term effects.  These findings highlight the value of diffusion modeling for understanding the mechanisms by which interventions affect implicit measure performance.

Referenz:

R?hner, J., & Lai, C. K. (2020). A diffusion model approach for understanding the impact of 17 interventions on the race Implicit Association Test. Manuscript accepted for publication.