ReviewAssessment2024
Measurement Invariance in Longitudinal Bifactor Models: Review and Application Based on the
Review in Assessment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Posttraumatic growth and depreciation among Ukrainians: a structural equation modelling approach.European journal of psychotraumatology · 2026Article
- Financial, housing, food, and healthcare insecurities and their independent and joint associations with depressive symptoms and stress in a U.S. cohort of adults with and without HIV.Social science & medicine (1982) · 2026Article
- Assessing the psychometric properties of the Youth Externalizing Problems Screener (YEPS) in peruvian adolescents.BMC psychology · 2026Article
- Measuring irritability across childhood, adolescence, and young adulthood: an investigation of measurement invariance by age, sex, and informant.European child & adolescent psychiatry · 2026Article
- Article
- Concordance between self- and clinician ratings of depression during inpatient treatment in adolescents: changes over time and probable response shift.Child and adolescent psychiatry and mental health · 2025Article
- Article
- Longitudinal and Gender Measurement Invariance of the General Health Questionnaire-12 (GHQ-12) From Adolescence to Emerging Adulthood.Assessment · 2024Article
- Comparison Is the Thief of Joy? Introducing the Attitudes Towards Social Comparison Inventory.Assessment · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
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 (
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.