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A taxonomy of discriminatory behavior
Eric Hehman1, Rebecca Neel2, Lora E Park3
1Department of Psychology, McGill University.
Psychological Review
|June 8, 2026
Summary
This study introduces a new taxonomy to classify discriminatory behaviors, moving beyond broad definitions. The 11-cluster framework aims to improve understanding and prediction of discrimination to help reduce its occurrence.
Area of Science:
- Social Psychology
- Behavioral Science
Background:
- Social psychology research has historically prioritized prejudice over discrimination.
- Discrimination is often broadly conceptualized, encompassing diverse behaviors with varied origins.
- A lack of specific categorization hinders the development of predictive models for discriminatory actions.
Purpose of the Study:
- To develop a comprehensive taxonomy of discriminatory behavior.
- To establish a foundation for theoretical and predictive models of discrimination.
- To identify psychological variables that predict specific types of discrimination.
Main Methods:
- Developed a conceptual framework for classifying discrimination.
- Identified and defined 11 distinct clusters of discriminatory behavior.
- Synthesized existing theory and empirical evidence to link psychological variables to discrimination clusters.
Main Results:
- A novel taxonomy categorizing discrimination into 11 distinct clusters was established.
- The taxonomy provides a structured approach to understanding the heterogeneity of discriminatory behaviors.
- Key psychological predictors for each discrimination cluster were identified.
Conclusions:
- The proposed taxonomy offers a more precise understanding of discrimination's causes.
- This framework advances the study of discrimination toward more predictive behavioral models.
- A refined understanding is foundational for developing effective interventions to reduce discrimination.
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