Lack of theory building and testing impedes progress in the factor and network literature
Open accessAbstract
The applied social science literature using factor and network models continues to grow rapidly. Most work reads like an exercise in model fitting, and falls short of theory building and testing in three ways. First, statistical and theoretical models are conflated, leading to invalid inferences such as the existence of psychological constructs based on factor models, or recommendations for clinical interventions based on network models. I demonstrate this inferential gap in a simulation: excellent model fit does little to corroborate a theory, regardless of quality or quantity of data. Second, researchers fail to explicate theories about psychological constructs, but use implicit causal beliefs to guide inferences. These latent theories have led to problematic best practices. Third, explicated theories are often weak theories: imprecise descriptions vulnerable to hidden assumptions and unknowns. Such theories do not offer precise predictions, and it is often unclear whether statistical effects actually corroborate weak theories or not. I demonstrate that these three challenges are common and harmful, and impede theory formation, failure, and reform. Matching theoretical and statistical models is necessary to bring data to bear on theories, and a renewed focus on theoretical psychology and formalizing theories offers a way forward.
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According to Fried (2020), there is an upper-bound limit as to what can be uncovered in any single CFA investigation.
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Computational Social Psychology
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Extending psychometric network analysis: Empirical evidence against g in favor of mutualism?
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Network analysis of empathy items from the interpersonal reactivity index in 1973 young adults
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Questionable research practices when using confirmatory factor analysis
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On the Control of Psychological Networks
Henry, T. R., Robinaugh, D. J., & Fried, E. I. (2021) · Psychometrika · doi:10.1007/s11336-021-09796-9 · Cited by 96 · see citing works
Self-citationThree representations of the Ising model
Kruis, J., & Maris, G. (2016) · Scientific Reports · doi:10.1038/srep34175 · Cited by 91 · see citing works
Can There Be Infinitely Many Models Equivalent to a Given Covariance Structure Model?
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What Is IQ? Life Beyond “General Intelligence”
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Modeling Psychopathology: From Data Models to Formal TheoriesPreprint
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Hebbrecht, K., Stuivenga, M., Birkenhäger, T., Morrens, M., Fried, E. I., Sabbe, B., & Giltay, E. J. (2020) · BMC Medicine · doi:10.1186/s12916-020-01867-5 · Cited by 67 · see citing works
Self-citationKievit, R., Hofman, A. D., & Nation, K. (2019) · Psychological Science · doi:10.1177/0956797619841265 · Cited by 65 · see citing works
Theory Construction Methodology: A practical framework for theory formation in psychologyPreprint
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Weak Genetic Explanation 20 Years Later
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Psychometric g: Definition and Substantiation
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Psychometric g as a focus of concerted research effort
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Improving Transparency, Falsifiability, and Rigor by Making Hypothesis Tests Machine-Readable
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A Model Hierarchy for Psychological Science
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Error statistical modeling and inference: Where methodology meets ontology
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Mathematical psychology: Prospects for the 21st century: A guest editorial
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Self-citationMeasurable Like Temperature or Mereological like Flocking? on the Nature of Personality Traits
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Toward a Causal Interpretation of the Common Factor Model
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Risk-related disclosure: a review of the literature and an agenda for future research
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Investigating the Utility of Fixed-margin Sampling in Network Psychometrics
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Mapping Co-Regulation In Social Relations Through Exploratory Topology Analysis
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Network approaches to representing and understanding personality dynamics
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Network approaches to representing and understanding personality dynamicsPreprint
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Reconceptualizing adult attachment relationships: A network perspective
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Self-citationFormal Modeling and Empirical Analysis in Political Science
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Cited by
Sorted by citations
Roefs, A., Fried, E. I., Kindt, M., Martijn, C., Elzinga, B., Evers, A. W. M., Wiers, R. W., Borsboom, D., & Jansen, A. (2022) · Behaviour Research and Therapy · doi:10.1016/j.brat.2022.104096 · Cited by 185 · see citing works
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Measuring the active elements of cognitive-behavioral therapies
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McGill, R. J., Dombrowski, S. C., & Canivez, G. L. (2025) · Psychology in the Schools · doi:10.1002/pits.23457 · Cited by 5 · see citing works
- Authors
- Fried, E. I.
- Affiliations
- Leiden University (NL)
- Corresponding author
- Fried, Eiko I.
- ORCID
- Fried, Eiko I.
- Venue
- Psychological Inquiry
- Publisher
- Informa UK Limited
- Published
- 2020-10
- Volume
- 31
- Issue
- 4
- Pages
- 271-288
- ISSN
- 1047-840X (ISSN-L)
- 1532-7965
- OpenAlex
- W3005081886
- Cited by
- 317
- References
- 155
- Citations by year
- 2026: 30 · 2025: 40 · 2024: 49 · 2023: 70 · 2022: 67 · 2021: 51 · 2020: 10
- FWCI
- 47.89
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychological Inquiry (publishedVersion, cc-by-nc-nd)
- Leiden Repository (Leiden University) (submittedVersion, cc-by-nc-nd)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › General Psychology › Academic and Historical Perspectives in Psychology
- Keywords
- factor models, network models, theory development, theory testing, psychological constructs, causal beliefs, weak theory, simulation study, theoretical psychology, formalization of theories, model fit
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