ArticlePsychometrika2020
Network Trees: A Method for Recursively Partitioning Covariance Structures.
Article in Psychometrika, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled 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.
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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of studies using network analysis to assess dynamics of psychotic-like experiences in community samples.Psychological medicine · 2025Pooled it
- Age-Related Differences in Emotion Regulation: Examining Emotion Regulation Skill Interactions in Adolescents and Young Adults.Journal of youth and adolescence · 2026Article
- SELF-Tree: An Interpretable Model for Multivariate Causal Direction Heterogeneity Analysis.Psychometrika · 2026Article
- Statistical evidence in psychological networks.Nature human behaviour · 2026Article
- Internet gaming disorder scale: A comparison of symptoms prevalence, structure, and invariance in 12 nationally representative European adolescent samples.Journal of behavioral addictions · 2025Article
- Symptom Network Analysis Tools for Applied Researchers With Cross-Sectional and Panel Data - A Brief Overview and Multiverse Analysis.Psychological reports · 2025Review
- Age, quality of life and mental well-being in adolescent population: a network model tree analysis.Scientific reports · 2023Article
- Analysis of Protective Factors in Schoolchildren in England Using the Dual-factor Model of Mental Health.Research on child and adolescent psychopathology · 2023Article
- The role of anxiety and depression in suicidal thoughts for autistic and non-autistic people: A theory-driven network analysis.Suicide & life-threatening behavior · 2023Article
- Comparing psychopathy across measurement modalities.Personality disorders · 2023Article
- Understanding the relationships between trauma type and individual posttraumatic stress symptoms: a cross-sectional study of a clinical sample of children and adolescents.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Testing Deprivation and Threat: A Preregistered Network Analysis of the Dimensions of Early Adversity.Psychological science · 2022Article
- A Note on the Structural Change Test in Highly Parameterized Psychometric Models.Psychometrika · 2022Article
- A network analysis of executive functions before and after computerized cognitive training in children and adolescents.Scientific reports · 2022Article
- Guest Editors' Introduction to The Special Issue "Network Psychometrics in Action": Methodological Innovations Inspired by Empirical Problems.Psychometrika · 2022Article
- Age and Sex Invariance of the Woodcock-Johnson IV Tests of Cognitive Abilities: Evidence from Psychometric Network Modeling.Journal of Intelligence · 2021Article
- Score-Guided Structural Equation Model Trees.Frontiers in psychology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In many areas of psychology, correlation-based network approaches (i.e., psychometric networks) have become a popular tool. In this paper, we propose an approach that recursively splits the sample based on covariates in order to detect significant differences in the structure of the covariance or correlation matrix. Psychometric networks or other correlation-based models (e.g., factor models) can be subsequently estimated from the resultant splits. We adapt model-based recursive partitioning and conditional inference tree approaches for finding covariate splits in a recursive manner. The empirical power of these approaches is studied in several simulation conditions. Examples are given using real-life data from personality and clinical research.
Indexed as
Identifiers
33146786What 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.