Book
Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items
Elements in Research Methods for Developmental Science, Cambridge University Press
2023
DOI: 10.1017/9781009357784
Appears in Recent Books by UI Authors
Abstract
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.
Details
- Title: Subtitle
- Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items
- Creators
- Rachel A GordonTianxiu WangHai NguyenAriel M Aloe
- Resource Type
- Book
- Series
- Elements in Research Methods for Developmental Science
- DOI
- 10.1017/9781009357784
- ISBN
- 1009357786; 9781009357784
- Publisher
- Cambridge University Press; Cambridge, Massachusetts
- Number of pages
- 75 pages
- Alternative title
- Identifying & Minimizing Measurement Invariance among Intersectional Groups
- Language
- English
- Date published
- 2023
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9984443159702771
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