ArticleBehavior research methods2022
Estimating group differences in network models using moderation analysis.
Article in Behavior research methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analytic Gaussian Network Aggregation.Psychometrika · 2022Pooled it
- Network psychometrics in practice: A practical framework for designing empirical studies that utilize a psychological network approach.Behavior research methods · 2026Article
- Conceptualizing Autism as a Behavioral Network: Transdiagnostic Associations with Co-occurring Psychiatric Conditions.Research on child and adolescent psychopathology · 2026Article
- Exploring how leisure-time physical activity moderate the school bullying-trauma network among children: the role of body image.Frontiers in psychology · 2026Article
- Relationship between COVID-19 stigma and anxiety symptoms in university students during the COVID-19 pandemic.Social psychiatry and psychiatric epidemiology · 2025Article
- Symptom Network Analysis Tools for Applied Researchers With Cross-Sectional and Panel Data - A Brief Overview and Multiverse Analysis.Psychological reports · 2025Review
- Bayes Factor Tests for Group Differences in Ordinal and Binary Graphical Models.Psychometrika · 2025Article
- Exploring the Moderation Effects of Race on the Relationship Among Sex Hormones, Biomarkers, and Psychological Symptoms in Female Older Adults.Clinical nursing research · 2025Article
- Estimating personal temporal symptom networks for childhood cancer survivors.Communications medicine · 2025Article
- A study of the prosocial behavior of middle-aged and elderly sports club members: a network analysis.BMC public health · 2025Article
- Network analysis: An overview for mental health research.International journal of methods in psychiatric research · 2024Review
- ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.Briefings in bioinformatics · 2024Article
- Exploring Sex-Based Neuropsychological Outcomes in Pediatric Brain Cancer Survivors: A Pilot Study.Diseases (Basel, Switzerland) · 2024Article
- Exploring networks of complex developmental trauma symptomatology among children and adolescents involved in child welfare.JCPP advances · 2024Article
- Comparison of network structures between autistic and non-autistic adults, and autism subgroups: A focus on demographic, psychological, and lifestyle factors.Autism : the international journal of research and practice · 2024Article
- Estimation of Personal Symptom Networks Using the Ising Model for Adult Survivors of Childhood Cancer: A Simulation Study with Real-World Data Application.Clinical epidemiology · 2024Article
- Interrelations of resilience factors and their incremental impact for mental health: insights from network modeling using a prospective study across seven timepoints.Translational psychiatry · 2023Article
- Network analysis of adverse childhood experiences and cardiovascular diseases.SSM - population health · 2023Article
- Sex differences in childhood maltreatment, inflammation, and adulthood depression: A network analysis.Brain, behavior, & immunity - health · 2023Article
- Leveraging network analysis to determine sex differences in factors associated with frailty among older adults living alone.BMC geriatrics · 2023Article
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Abstract
Statistical network models such as the Gaussian Graphical Model and the Ising model have become popular tools to analyze multivariate psychological datasets. In many applications, the goal is to compare such network models across groups. In this paper, I introduce a method to estimate group differences in network models that is based on moderation analysis. This method is attractive because it allows one to make comparisons across more than two groups for all parameters within a single model and because it is implemented for all commonly used cross-sectional network models. Next to introducing the method, I evaluate the performance of the proposed method and existing approaches in a simulation study. Finally, I provide a fully reproducible tutorial on how to use the proposed method to compare a network model across three groups using the R-package mgm.
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