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  3. Identifying and Minimizing Measurement Invariance among Intersectional Groups
  • Additional resources for this publication available here.
  • Cited by 4
Publisher:
Cambridge University Press
Online publication date:
June 2023
Print publication year:
2023
Online ISBN:
9781009357784
DOI:
https://doi.org/10.1017/9781009357784
Subjects:
Developmental Psychology, Psychology
Series:
Elements in Research Methods for Developmental Science
Information

Book description

This Element demonstrates how and why the alignment method can advance measurement fairness in developmental science. It explains its application to multi-category items in an accessible way, offering sample code and demonstrating an R package that facilitates interpretation of such items' multiple thresholds. It features the implications for group mean differences when differences in the thresholds between categories are ignored because items are treated as continuous, using an example of intersectional groups defined by assigned sex and race/ethnicity. It demonstrates the interpretation of item-level partial non-invariance results and their implications for group-level differences and encourages substantive theorizing regarding measurement fairness.

References

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