Measurement invariance of hierarchical taxonomy of psychopathology across sociodemographic covariates: A moderated nonlinear factor analysis approach.

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Publication Details

Journal
Journal of Psychopathology and Clinical Science
Published
2026-03-09
DOI
https://doi.org/10.1037/abn0001114
Primary Topic
Mental Health Research Topics
Type
article
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article

Measurement invariance of hierarchical taxonomy of psychopathology across sociodemographic covariates: A moderated nonlinear factor analysis approach.

Michael S. Chmielewski, Hyosang Lee
Journal of Psychopathology and Clinical Science
Mental Health Research Topics
article

Measurement invariance of hierarchical taxonomy of psychopathology across sociodemographic covariates: A moderated nonlinear factor analysis approach.

Michael S. Chmielewski, Hyosang Lee
article en

Abstract

No abstract available for this paper.
Journal of Psychopathology and Clinical Science
Southern Methodist University (US)
Gender equality
Openalex Percentile: Top 33%
Mental Health Research Topics
DOISourceOpenAlex
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Measurement invariance of hierarchical taxonomy of psychopathology across sociodemographic covariates: A moderated nonlinear factor analysis approach. — Michael S. Chmielewski, Hyosang Lee · Journal of Psychopathology and Clinical Science (2026) | TGRS Research Map | TGRS