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Identifying And Minimizing Measurement Invariance Among Intersectional Groups

The Alignment Method Applied To Multi-Category Items

by Rachel A. (Northern Illinois University) Gordon, Tianxiu (University Of Pittsburgh) Wang, Ariel M. (University Of Iowa) Aloe e Hai (University Of Illinois, Chicago) Nguyen
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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, July of 2023 ‧
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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.

Identifying And Minimizing Measurement Invariance Among Intersectional Groups

The Alignment Method Applied To Multi-Category Items

by Rachel A. (Northern Illinois University) Gordon, Tianxiu (University Of Pittsburgh) Wang, Ariel M. (University Of Iowa) Aloe e Hai (University Of Illinois, Chicago) Nguyen

Property Description
ISBN: 9781009357746
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: July of 2023
Language: English
Cover: Softcover
Pages: 76
Format: Book
Collection: Elements In Research Methods For Developmental Science
Categories: Books in English > Social Sciences and Humanities > Psychology
Books in English > Others
EAN: 9781009357746