The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Latent Variable Theory
Abstract
This paper formulates a metatheoretical framework for latent variable modeling. It does so by spelling out the difference between observed and latent variables. This difference is argued to be purely epistemic in nature: We treat a variable as observed when the inference from data structure to variable structure can be made with certainty and as latent when this inference is prone to error. This difference in epistemic accessibility is argued to be directly related to the data-generating process, i.e., the process that produces the concrete data patterns on which statistical analyses are executed. For a variable to count as observed through a set of data patterns, the relation between variable structure and data structure should be (a) deterministic, (b) causally isolated, and (c) of equivalent cardinality. When any of these requirements is violated, (part of) the variable structure should be considered latent. It is argued that, on these criteria, observed variables are rare to nonexistent in psychology; hence, psychological variables should be considered latent until proven observed.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Causality: Models, Reasoning, and Inference
Pearl, J. (2009) · doi:10.1017/cbo9780511803161 · Cited by 11,653
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Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
McLachlan, G., & Peel, D. (2000) · Wiley Series in Probability and Statistics · doi:10.1002/0471721182 · Cited by 10,991
Kripke, S. A. (1972) · Semantics of Natural Language · doi:10.1007/978-94-010-2557-7_9 · Cited by 7,028
On the Theory of Scales of Measurement
Stevens, S. S. (1946) · Science · doi:10.1126/science.103.2684.677 · Cited by 4,761 · cited 1×
“The different levels of measurement as introduced by Stevens (1946) and refined in Krantz et al. (1971) can then be thought of as specifying the detail to which the variable structure is mapped in the data structure.”
MethodFraassen, B. C. V. (1980) · doi:10.1093/0198244274.001.0001 · Cited by 4,682
Causation, Prediction, and Search
Spirtes, P., Glymour, C., & Scheines, R. (2001) · doi:10.7551/mitpress/1754.001.0001 · Cited by 4,521
Hambleton, R. K., & Swaminathan, H. (1985) · doi:10.1007/978-94-017-1988-9 · Cited by 1,777
The theoretical status of latent variables.
Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003) · Psychological Review · doi:10.1037/0033-295x.110.2.203 · Cited by 1,566
Self-citation
Cited by
Network analysis: An integrative approach to the structure of psychopathology
Borsboom, D., & Cramer, A. O. J. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185608 · Cited by 4,359
Self-citationThe Fallacy of Formative Measurement
Edwards, J. R. (2011) · Organizational Research Methods · doi:10.1177/1094428110378369 · Cited by 495
Cramer, A. O. J., Van Der Sluis, S., Noordhof, A., Wichers, M., Geschwind, N., Aggen, S. H., Kendler, K. S., & Borsboom, D. (2012) · European Journal of Personality · doi:10.1002/per.1866 · Cited by 477
Self-citationWorse than measurement error: Consequences of inappropriate latent variable measurement models.
Rhemtulla, M., van Bork, R., & Borsboom, D. (2020) · Psychological Methods · doi:10.1037/met0000220 · Cited by 257
Self-citationSibling Constructs: What Are They, Why Do They Matter, and How Should You Handle Them?
Lawson, K. M., & Robins, R. W. (2021) · Personality and Social Psychology Review · doi:10.1177/10888683211047101 · Cited by 144
Metadata
- Authors
- Borsboom, D.
- Venue
- Measurement: Interdisciplinary Research & Perspective
- Publisher
- Informa UK Limited
- Published
- 2008-05-29
- Volume
- 6
- Issue
- 1-2
- Pages
- 25-53
- ISSN
- 1536-6359 (ISSN-L)
- 1536-6367
- OpenAlex
- W2048182169
- Cited by
- 224
- References
- 12
- FWCI
- 7.18
- Type
- journal article
- Language
- en
- Open access
- closed
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
