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Commentary– Opening a can of worms

The importance of testing the measurement invariance of hierarchical models of psychopathology – a commentary on He and Li (2020)

Bibliographic Data

ID21344281
AuthorsDavid C Cicero (0000-0002-5666-9139, Department of Psychology University of North Texas Denton TX USA, corresponding author), Camilo J Ruggero (0000-0002-8482-6269, Department of Psychology University of North Texas Denton TX USA)
Year2021
Volume62
Issue3
Pages299-302
Publication date2021-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Child Psychology and Psychiatry (JOURNAL)
Journal identifiersISSN: 0021-9630 • E-ISSN: 1469-7610
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcpp.13353
PMID33247442
OpenAlexW3108113514
LanguageEN
References cited8

Measurement invariance is an understudied topic in much of psychopathology research, but its effects have far‐reaching consequences. It has rarely been examined with respect to hierarchical models of psychopathology. He & Li’s (2020) study represents one of the first attempts to bridge the gap between relatively narrow focused studies on the psychometric properties of specific assessments with broader research on the hierarchical structure of psychopathology. The results are promising, but more research is needed to understand the impact of culture, race, and ethnicity on the expression of psychopathology. Future research may determine whether dimensional and hierarchical models decrease the effect of cultural biases on assessment and help to further understand the etiology of epidemiological differences in rates of disorders. These models may also help to account for culture‐bound syndromes

Cognitive psychology · Confirmatory factor analysis · Ethnic group · Machine learning · Measurement invariance · Multilevel model · Psychopathology · Sociology · Structural equation modeling · Anthropology · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Child and Adolescent Psychosocial and Emotional Development · Clinical Psychology · Computer Science · Mental Health Treatment and Access · Psychology

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Citation velocityhistorical
Highly citedNo

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