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Is the performance at the implicit association test sensitive to feedback presentation? A Rasch-based analysis.

Ottavia M Epifania1, Egidio Robusto2, Pasquale Anselmi2

  • 1Department of Philosophy, Sociology, Education, and Applied Psychology, University of Padova, Via Venezia 14, Padua, Italy. ottavia.epifania@unipd.it.

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Summary
This summary is machine-generated.

Providing feedback during the Implicit Association Test (IAT) improves response accuracy. This study analyzed IAT data with and without feedback, finding feedback enhances the assessment of psychological constructs.

Keywords:
Built-in correctionFeedbackImplicit Association TestLog-normal ModelRasch model

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Area of Science:

  • Psychological Measurement
  • Cognitive Psychology
  • Social Psychology

Background:

  • The Implicit Association Test (IAT) is a key tool for measuring implicit psychological constructs.
  • Previous research has focused on IAT features affecting respondent performance, but the impact of feedback presentation is understudied.

Purpose of the Study:

  • To investigate the effect of feedback presentation on Implicit Association Test (IAT) performance.
  • To analyze IAT data across different domains (implicit prejudice, food preference) using a Rasch model.

Main Methods:

  • Rasch-based analysis of IAT data collected with and without feedback.
  • Comparison of performance metrics (speed, accuracy) across conditions and domains.

Main Results:

  • Response speed was affected by the interaction between feedback and associative condition.
  • Response accuracy was primarily influenced by the associative condition, with variations across domains.
  • Feedback presentation in IATs appears to yield more precise construct measurement.

Conclusions:

  • Feedback presentation is a critical factor influencing IAT performance and data interpretation.
  • IATs with feedback may offer a more accurate assessment of implicit psychological constructs.
  • Further research should explore domain-specific effects of feedback on IATs.