The theoretical status of latent variables.
Abstract
This article examines the theoretical status of latent variables as used in modern test theory models. First, it is argued that a consistent interpretation of such models requires a realist ontology for latent variables. Second, the relation between latent variables and their indicators is discussed. It is maintained that this relation can be interpreted as a causal one but that in measurement models for interindividual differences the relation does not apply to the level of the individual person. To substantiate intraindividual causal conclusions, one must explicitly represent individual level processes in the measurement model. Several research strategies that may be useful in this respect are discussed, and a typology of constructs is proposed on the basis of this analysis. The need to link individual processes to latent variable models for interindividual differences is emphasized.
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The measurements and clusters of tests in standard factor-analytic construct definition are selected on intuitive or a priori grounds, not on the basis of predictive validity in terms of real-world outcomes.
“The measurements and clusters of tests are selected on intuitive grounds or a priori grounds, and not on the basis of any predictive validity in terms of real-world outcomes (for example, success in college, performance on the job, earnings).”
From Personality Psychology and Economics (2011) · cites this paper as Borsboom, Mellenbergh and van Heerden [2003]
Boorsboom and colleagues have argued that between-person theories do not imply, test, or support causal accounts valid at the individual level.
“Boorsboom and colleagues have argued that between-person theories do not imply, test, or support causal accounts valid at the individual level [87].”
From Health behavior models in the age of mobile interventions: are our theories up to the task? (2011) · cites this paper as [87]
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- Authors
- Borsboom, D., Mellenbergh, G. J., & van Heerden, J.
- Affiliations
- University of Amsterdam (NL)
- ORCID
- Borsboom, Denny
- Venue
- Psychological Review
- Published
- 2003-04
- Volume
- 110
- Issue
- 2
- Pages
- 203-219
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2122621931
- Cited by
- 1,566
- References
- 137
- Citations by year
- 2026: 42 · 2025: 80 · 2024: 74 · 2023: 182 · 2022: 91 · 2021: 97 · 2020: 151 · 2019: 83 · 2018: 76 · 2017: 61 · 2016: 49 · 2015: 87 · 2014: 62 · 2013: 73 · 2012: 76
- FWCI
- 35.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- UvA-DARE (University of Amsterdam) (publishedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Education › Educational Assessment and Pedagogy
- Keywords
- latent variables, latent variable models, test theory, realism, ontology, measurement model, indicators, causal interpretation, individual differences
- MeSH terms
- Humans, Psychological Theory, Psychology, Semantics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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