Identifying and minimizing measurement invariance among intersectional groups : the alignment method applied to multi-category items / Rachel A. Gordon, Tianxiu Wang, Hai Nguyen, Ariel M. Aloe.

Format:

Book

Author/Creator:

Gordon, Rachel A., author.

Wang, Tianxiu, author.

Nguyễn, Hải, author.

Aloe, Ariel M., 1975- author.

Series:

Cambridge elements. Elements in research methods for developmental science 2632-9964.

Cambridge elements. Elements in research methods for developmental science, 2632-9964

Language:

English

Subjects (All):

Psychometrics--Data processing.

Psychometrics.

Developmental psychology--Research--Methodology.

Developmental psychology.

Physical Description:

1 online resource (67 pages) : illustrations (black and white, and colour), digital, PDF file(s).

Place of Publication:

Cambridge : Cambridge University Press, 2023.

Summary:

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.

Notes:

Also issued in print: 2023.

Includes bibliographical references.

Description based on online resource; title from PDF title page (viewed on July 6, 2023).

Other Format:

Print version :

ISBN:

9781009357784

Access Restriction:

Restricted for use by site license.