Identifying and Minimizing Measurement Invariance among Intersectional Groups

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Identifying and Minimizing Measurement Invariance among Intersectional Groups

The Alignment Method Applied to Multi-category Items

Psychological testing and measurement Child, developmental and lifespan psychology

Authors: Rachel A. Gordon, Tianxiu Wang, Hai Nguyen, Ariel M. Aloe

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Collection: Elements in Research Methods for Developmental Science

Language: English

Published by: Cambridge University Press

Published on: 6th July 2023

Format: LCP-protected ePub

ISBN: 9781009357753


Element Demonstration

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.

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