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    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    The Alignment Method Applied to Multi-category Items

    Author(s): Rachel A. Gordon , Tianxiu Wang , Hai Nguyen , Ariel M. Aloe

    ISBN: 9781009357746
    Publication Date: 06/07/2023
    Pages: 76
    Format: Paperback
    Sale price£18.00 GBP

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    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    Identifying and Minimizing Measurement Invariance among Intersectional Groups

    Cambridge University Press Bookshop

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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 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.