Evaluating the Measurement Invariance of the Everyday Discrimination Scale Among Older Black Men and Women

In this study, we examined the measurement invariance of the Everyday Discrimination Scale (EDS) across Black older men and women (ages 66–90). Participants were 141 Black men and 287 Black women drawn from the Kaiser Health Aging and Diverse Life Experiences study. An exploratory factor analysis of EDS items resulted in a unidimensional scale, and results were corroborated with each group using confirmatory factor analysis (CFA). Measurement invariance across groups was tested using multiple group CFA. Data fit was tested for configural, metric, and scalar invariance. There was measurement noninvariance at the metric level, suggesting nonequivalent factor loadings. The extent of factor score misestimation between the unadjusted and final model was assessed. Among Black women who reported more frequent experiences of discrimination, the unmodified EDS overestimated their total factor score. Administering the EDS without refinement may lead to incorrect measurement particularly among older Black women. Accounting for the gendered nature of interpersonal discrimination may improve estimates of discrimination prevalence and more accurately estimate the relationship between discrimination and health among Black older adults.

Authors

Institutions

Publication Details

Journal
Journal of Black Psychology
Published
2025-10-16
DOI
https://doi.org/10.1177/00957984251387982
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Measurement Invariance of the Everyday Discrimination Scale Among Older Black Men and Women

M. Maria Glymour, Tanisha G. Hill‐Jarrett, Kendra D. Sims, Dakota W. Cintron et al.
Journal of Black Psychology
Racial and Ethnic Identity Research
article

Evaluating the Measurement Invariance of the Everyday Discrimination Scale Among Older Black Men and Women

M. Maria Glymour, Tanisha G. Hill‐Jarrett, Kendra D. Sims, Dakota W. Cintron, Dan Mungas, Rachel A. Whitmer, Elizabeth Rose Mayeda, Paola Gilsanz
article en

Abstract

In this study, we examined the measurement invariance of the Everyday Discrimination Scale (EDS) across Black older men and women (ages 66–90). Participants were 141 Black men and 287 Black women drawn from the Kaiser Health Aging and Diverse Life Experiences study. An exploratory factor analysis of EDS items resulted in a unidimensional scale, and results were corroborated with each group using confirmatory factor analysis (CFA). Measurement invariance across groups was tested using multiple group CFA. Data fit was tested for configural, metric, and scalar invariance. There was measurement noninvariance at the metric level, suggesting nonequivalent factor loadings. The extent of factor score misestimation between the unadjusted and final model was assessed. Among Black women who reported more frequent experiences of discrimination, the unmodified EDS overestimated their total factor score. Administering the EDS without refinement may lead to incorrect measurement particularly among older Black women. Accounting for the gendered nature of interpersonal discrimination may improve estimates of discrimination prevalence and more accurately estimate the relationship between discrimination and health among Black older adults.

Journal of Black Psychology
Boston University (US), Kaiser Permanente (US), Claremont Graduate University (US), University of California, Los Angeles (US), University of California, San Francisco (US), University of California, Davis (US)
Openalex Percentile: Top 61%
Racial and Ethnic Identity Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.