ArticleBehaviour research and therapy2022
Quantifying and addressing the impact of measurement error in network models.
Article in Behaviour research and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of symptom-level networks of alcohol use disorder.Addiction (Abingdon, England) · 2025Pooled it
- Verbal framing, rather than measured cognitive-affective variables, is associated with short-term outcomes after spinal manipulation: a secondary analysis of a randomized controlled trial.Pain management · 2026Trial
- Symptom Network Dynamics during Antipsychotic Treatment in First-Episode Psychosis.Schizophrenia bulletin · 2026Trial
- Network based associations between peer rejection and adolescent depression: evidence from general population and clinical samples.BMC psychology · 2026Article
- A population-based cross-lagged panel network analysis of multidimensional mental health symptoms among Chinese secondary school students.BMC public health · 2026Article
- Leverage Points for Wellbeing and Achievement in Vocational Education: A Network Analysis of Psychological Factors Across Gender and Majors.Behavioral sciences (Basel, Switzerland) · 2026Article
- Network psychometrics in practice: A practical framework for designing empirical studies that utilize a psychological network approach.Behavior research methods · 2026Article
- Revisiting dimensionality in measurement of sense of coherence among rural healthcare workers using network analysis.Scientific reports · 2026Article
- Artificial intelligence self-efficacy and attitudes among nursing students: a multicenter network analysis of educational stratification.BMC medical education · 2026Article
- Core self-evaluation and school disengagement in early adolescence: a three-wave longitudinal network analysis.Frontiers in psychology · 2026Article
- Psychometric Network Model Recovery: The Effect of Sample Size, Number of Items, and Number of Nodes.European journal of investigation in health, psychology and education · 2025Article
- Network psychometrics and the network approach to posttraumatic stress disorder: A conceptual and methodological overview.Journal of traumatic stress · 2025Review
- Network analysis: An overview for mental health research.International journal of methods in psychiatric research · 2024Review
- Autistic Symptoms, Irritability, and Executive Dysfunctions: Symptom Dynamics from Multi-Network Models.Journal of autism and developmental disorders · 2024Article
- Development and validation of an HPV infection knowledge assessment scale among Aboriginal and Torres Strait Islander Peoples.Vaccine: X · 2023Article
- Psychopathology, Personality and Depression after Acute Coronary Syndrome: A Network Analysis in an Italian Population.Diagnostics (Basel, Switzerland) · 2023Article
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Authors and funding
7 authors.
Funding
Abstract
Network psychometric models are often estimated using a single indicator for each node in the network, thus failing to consider potential measurement error. In this study, we investigate the impact of measurement error on cross-sectional network models. First, we conduct a simulation study to evaluate the performance of models based on single indicators as well as models that utilize information from multiple indicators per node, including average scores, factor scores, and latent variables. Our results demonstrate that measurement error impairs the reliability and performance of network models, especially when using single indicators. The reliability and performance of network models improves substantially with increasing sample size and when using methods that combine information from multiple indicators per node. Second, we use empirical data from the STAR*D trial (n = 3,731) to further evaluate the impact of measurement error. In the STAR*D trial, depression symptoms were assessed via three questionnaires, providing multiple indicators per symptom. Consistent with our simulation results, we find that when using sub-samples of this dataset, the discrepancy between the three single-indicator networks (one network per questionnaire) diminishes with increasing sample size. Together, our simulated and empirical findings provide evidence that measurement error can hinder network estimation when working with smaller samples and offers guidance on methods to mitigate measurement error.
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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.