ArticleJournal of abnormal child psychology2020
Promises and Pitfalls of Latent Variable Approaches to Understanding Psychopathology: Reply to Burke and Johnston, Eid, Junghänel and Colleagues, and Willoughby.
Article in Journal of abnormal child psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.
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7 citing papers in PubMed.
- Utility for Clinical Practice of a Bifactor ADHD Model in an Elementary School Population in Mexico.Child psychiatry and human development · 2025Article
- Longitudinal associations between youth prosocial behavior and dimensions of psychopathology.JCPP advances · 2025Article
- On the Meaning of the "Assessment · 2023Article
- Infant temperament prospectively predicts general psychopathology in childhood.Development and psychopathology · 2022Article
- High vagal tone and rapid extinction learning as potential transdiagnostic protective factors following childhood violence exposure.Developmental psychobiology · 2021Article
- Moving beyond Ordinary Factor Analysis in Studies of Personality and Personality Disorder: A Computational Modeling Perspective.Psychopathology · 2020Review
- RDoC and Psychopathology among Youth: Misplaced Assumptions and an Agenda for Future Research.Journal of clinical child and adolescent psychology : the official journal for the Society of Clinical Child and Adolescent Psychology, American Psychological Association, Division 53Article
Corrections and comments
- Comment on
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
The commentaries by Burke and Johnston (this issue), Eid (this issue), Junghänel et al. (this issue), and Willoughby (this issue) on Burns et al. (this issue) provide useful context for comparing three latent variable modeling approaches to understanding psychopathology-the correlated first-order syndrome-specific factors model, the bifactor S - 1 model, and the symmetrical bifactor model. The correlated first-order syndrome-specific factors model has proven useful in constructing explanatory models of psychopathology. The bifactor S - 1 model is also useful for examining the latent structure of psychopathology, especially in contexts with clear theoretical predictions. Joint use of correlated first-order syndrome-specific model and bifactor S - 1 model provides leverage for explaining psychopathology, and both models can also guide individual clinical assessment. In this reply, we further clarify reasons why the symmetrical bifactor model should not be used to study the latent structure of psychopathology and also discuss a restricted bifactor S - 1 model that is equivalent to the first-order syndrome-specific factors model.
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