Book Cover

Identifying and Minimizing Measurement Invariance Among Intersectional Groups: The Alignment Method Applied to Multi-Category Items

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

ISBN: 9781009357746

Publisher: Cambridge University Press

Binding Types:

$25.00
$37.95 (Final Price)
$36.75 (100+ copies: $36.00)
List/retail price:
$25.00
- +
Buy

Pub Date: July 6, 2023

Lexile Code: 0000

Features: Price on Product

Target Age Group: NA to NA

Physical Info: 0.16" H x 9.00" L x 6.00" W ( 0.25 lbs) 76 pages

BISAC Categories:

Psychology | Developmental | General

Series: Elements in Research Methods for Developmental Science

Descriptions, Reviews, etc.

Description: 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.

Worth Considering
Product successfully added to cart!