Identifying and Minimizing Measurement Invariance among Intersectional Groups (Elements in Research Methods for Developmental Science) - Softcover
Synopsis
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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Identifying And Minimizing Measurement Invariance Among Intersectional Groups
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Identifying and Minimizing Measurement Invariance among Intersectional Groups
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Paperback. Condition: New. 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. Seller Inventory # LU-9781009357746
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Identifying And Minimizing Measurement Invariance Among Intersectional Groups
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Identifying and Minimizing Measurement Invariance among Intersectional Groups (Paperback)
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Paperback. Condition: new. Paperback. 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. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781009357746
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Identifying and Minimizing Measurement Invariance among Intersectional Groups (Elements in Research Methods for Developmental Science)
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Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items (Elements in Research Methods for Developmental Science)
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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
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Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items
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ISBN 13: 9781009357746
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Identifying and Minimizing Measurement Invariance among Intersectional Groups: The Alignment Method Applied to Multi-category Items
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