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Identifying and Minimizing Measurement Invariance Among Intersectional Groups: The Alignment Method Applied to Multi-Category Items

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Identifying and Minimizing Measurement Invariance Among Intersectional Groups: The Alignment Method Applied to Multi-Category Items - Gordon, Rachel A, and Wang, Tianxiu, and Nguyen, Hai
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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 ...

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Identifying and Minimizing Measurement Invariance Among Intersectional Groups: The Alignment Method Applied to Multi-Category Items 2023, Cambridge University Press, Cambridge

ISBN-13: 9781009357746

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