The DOI matches its Crossref record; 170 of the 170 references it cites were found in a registry or an index.
A conceptual and psychometric framework for distinguishing categories and dimensions
Abstract
An important, sometimes controversial feature of all psychological phenomena is whether they are categorical or dimensional. A conceptual and psychometric framework is described for distinguishing whether the latent structure behind manifest categories (e.g., psychiatric diagnoses, attitude groups, or stages of development) is category-like or dimension-like. Being dimension-like requires (a) within-category heterogeneity and (b) between-category quantitative differences. Being category-like requires (a) within-category homogeneity and (b) between-category qualitative differences. The relation between this classification and abrupt versus smooth differences is discussed. Hybrid structures are possible. Being category-like is itself a matter of degree; the authors offer a formalized framework to determine this degree. Empirical applications to personality disorders, attitudes toward capital punishment, and stages of cognitive development illustrate the approach.
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“Dimensional approaches generally aim for within-category heterogeneity and between-category quantitative differences (De Boeck et al., 2005), goals that can also be challenging for SA/A (Heyne et al., 2019).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as De Boeck et al., 2005
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“Categorical approaches broadly aim for within-category homogeneity and between-category qualitative differences (De Boeck et al., 2005), goals that have been somewhat elusive for SA/A (DiBartolo and Braun, 2017).”
From Reconciling Contemporary Approaches to School Attendance and School Absenteeism: Toward Promotion and Nimble Response, Global Policy Review and Implementation, and Future Adaptability (Part 1) (2019) · cites this paper as De Boeck et al., 2005
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1994) · doi:10.1201/9780429246593 · Cited by 40,500
An Introduction to the Bootstrap
Efron, B., & Tibshirani, R. J. (1993) · doi:10.1007/978-1-4899-4541-9 · Cited by 21,230
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
Information Theory and an Extension of the Maximum Likelihood Principle
Akaike, H. (1998) · Springer series in statistics · doi:10.1007/978-1-4612-1694-0_15 · Cited by 18,636
Women, Fire, and Dangerous Things
Lakoff, G. P. (1987) · University of Chicago Press eBooks · doi:10.7208/chicago/9780226471013.001.0001 · Cited by 13,358
Ambrose, A., Wittgenstein, L., & Anscombe, G. E. M. (1954) · Philosophy and Phenomenological Research · doi:10.2307/2103745 · Cited by 12,289
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences.
Henry, N. W., Cohen, J., & Cohen, P. R. (1977) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2064799 · Cited by 7,242
Research works printed but not linked: 9
- Birnbaum, 1968, Some latent trait models., 397
- Eagly, 1993, The psychology of attitudes.
- 10.1037/0021-843X.104.3.411 · DOI
- Meehl, 1973, MAXCOV-HITMAX: A taxonomic search method for loose genetic syndromes., 200
- Meehl, 1982, Taxometric methods., 127
- Thissen, 1997, MULTILOG
- 10.1037/0021-843X.99.1.40 · DOI
- Verhelst, 1994, OPLM
- Wu, 1998, ACER Conquest: Generalized item response modelling software
Cited by
Sorted by citations
Item Response Theory and Clinical Measurement
Reise, S. P., & Waller, N. G. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.032408.153553 · Cited by 722
“In either case, these issues do raise the possibility that clinical syndromes may not represent quantitative variables as traditionally defined (De Boeck et al. 2005).”
BackgroundHaslam, N., Holland, E., & Kuppens, P. (2012) · Psychological Medicine · doi:10.1017/s0033291711001966 · Cited by 611
“Taxometrics is not the only form of data analysis that can test between categorical and dimensional models of latent variables, and sophisticated alternatives exist (McLachlan & Peel, 2000 ; De Boeck et al. 2005 ; Markon & Krueger, 2006).”
BackgroundMarkon, K. E., Chmielewski, M., & Miller, C. J. (2011) · Psychological Bulletin · doi:10.1037/a0023678 · Cited by 656
Toward a formalized account of attitudes: The Causal Attitude Network (CAN) model.
Dalege, J., Borsboom, D., van Harreveld, F., van den Berg, H., Conner, M. T., & van der Maas, H. L. J. (2015) · Psychological Review · doi:10.1037/a0039802 · Cited by 411
Measuring progressions: Assessment structures underlying a learning progression
Wilson, M. R. (2009) · Journal of Research in Science Teaching · doi:10.1002/tea.20318 · Cited by 343
Self-citation
Metadata
- Authors
- De Boeck, P., Wilson, M., & Acton, G. S.
- ORCID
- Wilson, Mark
- Venue
- Psychological Review
- Published
- 2005
- Volume
- 112
- Issue
- 1
- Pages
- 129-158
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2149002740
- Cited by
- 131
- References
- 155
- Citations by year
- 2025: 6 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 2 · 2020: 6 · 2019: 2 · 2018: 3 · 2017: 3 · 2016: 4 · 2015: 7 · 2014: 4 · 2013: 11 · 2012: 6
- FWCI
- 15.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (1f32da014739-01)
- National Institute on Drug Abuse (P50DA009253, F32-DA14739)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Keywords
- latent structure, hybrid structures, psychiatric diagnosis, personality disorders, attitudes toward capital punishment, cognitive development stages
- MeSH terms
- Capital Punishment, Cognition, Humans, Models, Psychological, Psychology, Psychometrics
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