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Anomalies in implicit attitudes research.

Edouard Machery1

  • 1Center for Philosophy of Science, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Wiley Interdisciplinary Reviews. Cognitive Science
|June 15, 2021
PubMed
Summary
This summary is machine-generated.

This review critically examines implicit attitude measures, finding significant issues with their validity, reliability, and predictive power. The science of implicit bias requires reevaluation due to persistent anomalies.

Keywords:
biasconstruct validityimplicit attitudeindirect measure

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Area of Science:

  • Psychology
  • Cognitive Science
  • Social Psychology

Background:

  • The indirect measurement of attitudes, particularly implicit attitudes, is a cornerstone of modern psychology.
  • Despite widespread use, concerns regarding the scientific rigor of these measures persist.

Purpose of the Study:

  • To provide a critical assessment of the indirect measurement of attitudes.
  • To highlight persistent anomalies in the science of implicit attitudes.
  • To evaluate the validity, reliability, predictive power, and causal efficiency of implicit attitude measures.

Main Methods:

  • Systematic review of existing literature on implicit attitude measurement.
  • Critical analysis of empirical evidence concerning validity, reliability, and predictive utility.
  • Examination of the causal efficiency of implicit bias constructs.

Main Results:

  • Significant anomalies persist in the science of implicit attitudes.
  • Concerns regarding the validity and reliability of indirect attitude measures are substantial.
  • The predictive power and causal efficiency of implicit bias constructs remain questionable.

Conclusions:

  • The validity of the implicit bias construct is called into question.
  • Further research is needed to address fundamental issues in implicit attitude science.
  • A more rigorous approach to attitude measurement is warranted.