ArticleJournal of Intelligence2020
How to Compare Psychometric Factor and Network Models.
Article in Journal of Intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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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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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.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analytic Gaussian Network Aggregation.Psychometrika · 2022Pooled it
- Longitudinal Network Analysis Reveals Interactive Change of Schizophrenia Symptoms During Acute Antipsychotic Treatment.Schizophrenia bulletin · 2023Trial
- Psychometric Evaluation of Ecological Momentary Assessment Items for Mood in a Non-Clinical Sample.Brain and behavior · 2026Article
- Sex differences in the network structure linking school bullying self- efficacy, resilience and coping strategies among Chinese university students.Discover mental health · 2026Article
- Network analysis of job burnout, job performance, and affect among part-time university faculty: educational implications.BMC medical education · 2025Article
- Network models reveal high-dimensional social inferences in naturalistic settings beyond latent construct models.Communications psychology · 2025Article
- The Dialectical Relationship Between Burnout and Work Engagement: A Network Approach.Stress and health : journal of the International Society for the Investigation of Stress · 2025Article
- Complex associations between anxiety, depression, and resilience in a college student sample: a network analysis.Frontiers in psychiatry · 2025Article
- Network analysis: An overview for mental health research.International journal of methods in psychiatric research · 2024Review
- Why Do Bi-Factor Models Outperform Higher-OrderJournal of Intelligence · 2024Article
- Connecting the dots: using a network approach to study the wellbeing spectrum.Current psychology (New Brunswick, N.J.) · 2024Article
- Investigating the Structure of the French WISC-V (WISC-VJournal of Intelligence · 2023Article
- Development and validation of an HPV infection knowledge assessment scale among Aboriginal and Torres Strait Islander Peoples.Vaccine: X · 2023Article
- Bootstrap Exploratory Graph Analysis of the WISC-V with a Clinical Sample.Journal of Intelligence · 2023Article
- A Network Analysis of Cigarette Craving.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023Article
- A Cross-Country Network Analysis of Resilience Systems in Young Adults.Emerging adulthood (Print) · 2023Article
- Better together: novel methods for measuring and modeling development of executive function diversity while accounting for unity.Frontiers in human neuroscience · 2023Article
- New trends in network modeling of psychopathology.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022Article
- Development and Validation of a New Measure of Work Annoyance Using a Psychometric Network Approach.International journal of environmental research and public health · 2022Article
- A psychometric network perspective to oral health literacy: Examining the replicability of network properties across the general community and older adults from Brazil.Journal of public health dentistry · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In memory of Dr. Dennis John McFarland, who passed away recently, our objective is to continue his efforts to compare psychometric networks and latent variable models statistically. We do so by providing a commentary on his latest work, which he encouraged us to write, shortly before his death. We first discuss the statistical procedure McFarland used, which involved structural equation modeling (SEM) in standard SEM software. Next, we evaluate the penta-factor model of intelligence. We conclude that (1) standard SEM software is not suitable for the comparison of psychometric networks with latent variable models, and (2) the penta-factor model of intelligence is only of limited value, as it is nonidentified. We conclude with a reanalysis of the Wechlser Adult Intelligence Scale data McFarland discussed and illustrate how network and latent variable models can be compared using the recently developed R package Psychonetrics. Of substantive theoretical interest, the results support a network interpretation of general intelligence. A novel empirical finding is that networks of intelligence replicate over standardization samples.
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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.