Literature DB >> 15631591

A conceptual and psychometric framework for distinguishing categories and dimensions.

Paul De Boeck1, Mark Wilson, G Scott Acton.   

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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Year:  2005        PMID: 15631591     DOI: 10.1037/0033-295X.112.1.129

Source DB:  PubMed          Journal:  Psychol Rev        ISSN: 0033-295X            Impact factor:   8.934


  23 in total

1.  Exploring the structure of psychopathological symptoms: a re-analysis of AMDP data by robust nonmetric multidimensional scaling.

Authors:  Damian Läge; Samy Egli; Michael Riedel; Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-11-08       Impact factor: 5.270

2.  Categories and Dimensions Advancing Psychological Science Through the Study of Latent Structure.

Authors:  John Ruscio; Ayelet Meron Ruscio
Journal:  Curr Dir Psychol Sci       Date:  2008-06-28

3.  Multidimensional Classification of Examinees Using the Mixture Random Weights Linear Logistic Test Model.

Authors:  In-Hee Choi; Mark Wilson
Journal:  Educ Psychol Meas       Date:  2014-04-06       Impact factor: 2.821

4.  Combining the categorical and the dimensional perspective in a diagnostic map of psychotic disorders.

Authors:  Damian Läge; Samy Egli; Michael Riedel; Anton Strauss; Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-07-30       Impact factor: 5.270

5.  Detecting intervention effects using a multilevel latent transition analysis with a mixture IRT model.

Authors:  Sun-Joo Cho; Allan S Cohen; Brian Bottge
Journal:  Psychometrika       Date:  2013-01-05       Impact factor: 2.500

6.  Seeking a balance between the statistical and scientific elements in psychometrics.

Authors:  Mark Wilson
Journal:  Psychometrika       Date:  2013-04       Impact factor: 2.500

7.  Commentary: Matching IRT Models to PRO Constructs- Modeling Alternatives, and Some Thoughts on What Makes a Model Different.

Authors:  Matthias von Davier
Journal:  Psychometrika       Date:  2021-08-03       Impact factor: 2.500

8.  Exploring the Latent Structures of Psychological Constructs in Social Development Using the Dimensional-Categorical Spectrum.

Authors:  Katherine E Masyn; Craig E Henderson; Paul E Greenbaum
Journal:  Soc Dev       Date:  2010-08

9.  Dimensional or categorical approach to tinnitus severity: an item response mixture modeling analysis of tinnitus handicap.

Authors:  Hugo Hesser; Gerhard Andersson
Journal:  Int J Behav Med       Date:  2014-12

10.  An affective space view on depression and anxiety.

Authors:  Meng Lin Xu; Paul De Boeck; Daniel Strunk
Journal:  Int J Methods Psychiatr Res       Date:  2018-10-18       Impact factor: 4.035

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