Testing for intersectional measurement invariance with the alignment method: Evaluation of the 8‐item patient health questionnaire Article Swipe
Dakota W. Cintron
,
Ellicott C. Matthay
,
D. Betsy McCoach
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/1475-6773.14189
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/1475-6773.14189
Objective To demonstrate the use of the alignment method to evaluate whether surveys function similarly (i.e., have evidence of measurement invariance) across culturally diverse intersectional groups. Intersectionality theory recognizes the interconnected nature of social categories such as race, gender, ethnicity, and socioeconomic status. Data Sources A total of 30,215 American adult's responses to the eight‐item Patient Health Questionnaire depression assessment scale (PHQ‐8) from the 2019 National Health Interview Survey (NHIS). Study Design Using the alignment method, we examined the measurement invariance (equivalence) of the PHQ‐8 depression assessment scale across 16 intersectional subgroups defined at the intersection of age (under 52, 52 and older), gender (male, female), race (Black, non‐Black), and education (no bachelor's degree, bachelor's degree). Principal Findings Overall, 24% of the factor loadings and 5% of the item intercepts showed evidence of differential functioning across one or more of the intersectional groups. These levels fall beneath the benchmark of 25% suggested for determining measurement invariance with the alignment method. Conclusions The results of the alignment study suggest that the PHQ‐8 functions similarly across the intersectional groups examined, despite some evidence of different factor loadings and item intercepts in some groups (i.e., noninvariance). By examining measurement invariance through an intersectional lens, researchers can investigate how a person's multiple identities and social positions possibly contribute to their response behavior on an assessment scale.
Related Topics
Concepts
Measurement invariance
Intersectionality
Item response theory
Differential item functioning
Socioeconomic status
Equivalence (formal languages)
Psychology
Patient Health Questionnaire
Ethnic group
Scale (ratio)
Clinical psychology
Social psychology
Psychometrics
Medicine
Confirmatory factor analysis
Statistics
Geography
Mathematics
Depressive symptoms
Sociology
Gender studies
Structural equation modeling
Environmental health
Psychiatry
Cognition
Discrete mathematics
Anthropology
Population
Cartography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/1475-6773.14189
- OA Status
- hybrid
- Cited By
- 5
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4379790893
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4379790893Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1111/1475-6773.14189Digital Object Identifier
- Title
-
Testing for intersectional measurement invariance with the alignment method: Evaluation of the 8‐item patient health questionnaireWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-08Full publication date if available
- Authors
-
Dakota W. Cintron, Ellicott C. Matthay, D. Betsy McCoachList of authors in order
- Landing page
-
https://doi.org/10.1111/1475-6773.14189Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1111/1475-6773.14189Direct OA link when available
- Concepts
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Measurement invariance, Intersectionality, Item response theory, Differential item functioning, Socioeconomic status, Equivalence (formal languages), Psychology, Patient Health Questionnaire, Ethnic group, Scale (ratio), Clinical psychology, Social psychology, Psychometrics, Medicine, Confirmatory factor analysis, Statistics, Geography, Mathematics, Depressive symptoms, Sociology, Gender studies, Structural equation modeling, Environmental health, Psychiatry, Cognition, Discrete mathematics, Anthropology, Population, CartographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 3Per-year citation counts (last 5 years)
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44Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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