Evidence map›Paper›PMID 32199605›Full record

ReviewBiological psychiatry2020

Appropriate Use of Bifactor Analysis in Psychopathology Research: Appreciating Benefits and Limitations.

Marina A Bornovalova, Alexandria M Choate, Haya Fatimah, Karl J Petersen, Brenton M Wiernik

Abstract readReview
In one paragraph

Review in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

77 citing papers in PubMed.

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  13. Large-scale evidence of a general disease ('Psychological medicine · 2025
    Article
  14. Article
  15. Article
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  17. 'Lock them up and throw away the key': an evaluation of the structure of punitive attitudes.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2025
    Article
  18. Article
  19. Assessment of psychometric performance for the Chinese version of the Brief Inventory of Perceived Stress integrating exploratory graph analysis and confirmatory factor analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  20. Article

17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Marina A BornovalovaDepartment of Psychology, University of South Florida, Tampa, Florida. Electronic address: bornovalova@usf.edu.
Alexandria M ChoateDepartment of Psychology, University of South Florida, Tampa, Florida.
Haya FatimahDepartment of Psychology, University of South Florida, Tampa, Florida.
Karl J PetersenDepartment of Biological Sciences, University of South Florida St. Petersburg, St. Petersburg, Florida.
Brenton M WiernikDepartment of Psychology, University of South Florida, Tampa, Florida. Electronic address: brenton@wiernik.org.

Funding

Randomized Trial of Distress Tolerance Treatment for Substance UsersR01DA032582 · NIDA · UNIVERSITY OF SOUTH FLORIDA · PI BORNOVALOVA, MARINA ALEXA · 2012 to 2017
$3.1M
NIDA NIH HHS R01 DA032582
6 · The paper itself

Abstract

Co-occurrence of psychiatric disorders is well documented. Recent quantitative efforts have moved toward an understanding of this phenomenon, with the general psychopathology or p-factor model emerging as the most prominent characterization. Over the past decade, bifactor model analysis has become increasingly popular as a statistical approach to describe common/shared and unique elements in psychopathology. However, recent work has highlighted potential problems with common approaches to evaluating and interpreting bifactor models. Here, we argue that bifactor models, when properly applied and interpreted, can be useful for answering some important questions in psychology and psychiatry research. We review problems with evaluating bifactor models based on global model fit statistics. We then describe more valid approaches to evaluating bifactor models and highlight 3 types of research questions for which bifactor models are well suited to answer. We also discuss the utility and limits of bifactor applications in genetic and neurobiological research. We close by comparing advantages and disadvantages of bifactor models with other analytic approaches and note that no statistical model is a panacea to rectify limitations of the research design used to gather data.

Indexed as

Mental DisordersPsychiatryHumansModels, StatisticalNeurobiologyPsychopathologyBifactorConstruct validityCriterion validityGeneral psychopathology factorNomological netStructural equations modelingTaxonomy

Identifiers

PMID32199605
PMCPMC10586518

What OpenQuestion holds

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Registered trials

None linked

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.