Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the p Factor.

Neufeld, Sharon A S; St Clair, Michelle; Brodbeck, Jeannette; Wilkinson, Paul O; Goodyer, Ian M; Jones, Peter B (2024). Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the p Factor. Assessment, 31(4), pp. 774-793. Sage 10.1177/10731911231182687

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Bifactor models are increasingly being utilized to study latent constructs such as psychopathology and cognition, which change over the lifespan. Although longitudinal measurement invariance (MI) testing helps ensure valid interpretation of change in a construct over time, this is rarely and inconsistently performed in bifactor models. Our review of MI simulation literature revealed that only one study assessed MI in bifactor models under limited conditions. Recommendations for how to assess MI in bifactor models are suggested based on existing simulation studies of related models. Estimator choice and influence of missing data on MI are also discussed. An empirical example based on a model of the general psychopathology factor (p) elucidates our recommendations, with the present model of p being the first to exhibit residual MI across gender and time. Thus, changes in the ordered-categorical indicators can be attributed to changes in the latent factors. However, further work is needed to clarify MI guidelines for bifactor models, including considering the impact of model complexity and number of indicators. Nonetheless, using the guidelines justified herein to establish MI allows findings from bifactor models to be more confidently interpreted, increasing their comparability and utility.

Item Type:

Journal Article (Original Article)

Division/Institute:

07 Faculty of Human Sciences > Institute of Psychology > Clinical Psychology and Psychotherapy

UniBE Contributor:

Brodbeck, Jeannette

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1552-3489

Publisher:

Sage

Language:

English

Submitter:

Pubmed Import

Date Deposited:

26 Jun 2023 13:08

Last Modified:

15 May 2024 00:11

Publisher DOI:

10.1177/10731911231182687

PubMed ID:

37350099

Uncontrolled Keywords:

longitudinal bifactor modeling measurement invariance p factor (general psychopathology) review simulation studies

BORIS DOI:

10.48350/184085

URI:

https://boris.unibe.ch/id/eprint/184085

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