Identifying and Minimizing Measurement Invariance among Intersectional Groups (Paperback)

Rachel A. Gordon

ISBN 10: 1009357743 / ISBN 13: 9781009357746

Verlag: Cambridge University Press, Cambridge, 2023

Beschreibung

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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Bestandsnummer des Verkäufers 9781009357746

Bibliografische Details

• Titel: Identifying and Minimizing Measurement Invariance among Intersectional Groups (Paperback)
• Verlag: Cambridge University Press, Cambridge
• Erscheinungsjahr: 2023
• Sprache: Englisch
• ISBN-10: 1009357743
• ISBN-13: 9781009357746
• Einband: Paperback
• Zustand: new

Über diesen Titel

Inhaltsangabe

This Element demonstrates how and why the alignment method can advance measurement.