ArticleJournal of abnormal psychology2017
False alarm? A comprehensive reanalysis of "Evidence that psychopathology symptom networks have limited replicability" by Forbes, Wright, Markon, and Krueger (2017).
Article in Journal of abnormal psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.
What it found
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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.
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Who cites it
80 citing papers in PubMed.
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- A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics.Royal Society open science · 2025Review
- Identifying candidate mechanisms of comorbidity in disordered eating and posttraumatic stress disorder symptoms among U.S. veterans: A network analytic approach.Psychological trauma : theory, research, practice and policy · 2025Article
- New diagnosis in psychiatry: beyond heuristics.Psychological medicine · 2025Review
- Selective Inference for Sparse Graphs via Neighborhood Selection.Electronic journal of statistics · 2025Article
- Network analysis of adolescent non-suicidal self-injury subgroups identified through latent profile analysis.World journal of psychiatry · 2024Article
- Assessing relinquishment of positivity as a central symptom bridging anxiety and depression.Journal of affective disorders · 2024Article
- A Note on Ising Network Analysis with Missing Data.Psychometrika · 2024Article
- Core features of callous-unemotional traits: a cross-cultural comparison of youth in four countries.European child & adolescent psychiatry · 2024Article
- Mapping of the network connection between sleep quality symptoms, depression, generalized anxiety, and burnout in the general population of Peru and El Salvador.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2024Article
- How Coparenting Is Linked to Depression among Chinese Young Girls and Boys: Evidence from a Network Analysis.Behavioral sciences (Basel, Switzerland) · 2024Article
- Network analysis of anxiety and depressive symptoms during the COVID-19 pandemic in older adults in the United Kingdom.Scientific reports · 2024Article
- Symptom networks analysis among people with Meniere's disease: Application for nursing care.International journal of nursing sciences · 2024Article
- A Network Analysis Approach to Understanding the Relationship Between Childhood Trauma and Wellbeing Later in Life.Child psychiatry and human development · 2023Article
20 more citing papers are in PubMed but not listed here.
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7 authors.
Funding
Abstract
Forbes, Wright, Markon, and Krueger (2017) stated that "psychopathology networks have limited replicability" (p. 1011) and that "popular network analysis methods produce unreliable results" (p. 1011). These conclusions are based on an assessment of the replicability of four different network models for symptoms of major depression and generalized anxiety across two samples; in addition, Forbes et al. analyzed the stability of the network models within the samples using split-halves. Our reanalysis of the same data with the same methods led to results directly opposed to theirs: All network models replicated very well across the two data sets and across the split-halves. We trace the differences between Forbes et al.'s results and our own to the fact that they did not appear to accurately implement all network models and used debatable metrics to assess replicability. In particular, they deviated from existing estimation routines for relative importance networks, did not acknowledge the fact that the skip structure used in the interviews strongly distorted correlations between symptoms, and incorrectly assumed that network structures and metrics should be the same not only across the different samples but also across the different network models used. In addition to a comprehensive reanalysis of the data, we end with a discussion of best practices concerning future research into the replicability of psychometric networks. (PsycINFO Database Record
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