# Differentiating Categories and Dimensions: Evaluating the Robustness of Taxometric Analyses

@article{Ruscio2009DifferentiatingCA, title={Differentiating Categories and Dimensions: Evaluating the Robustness of Taxometric Analyses}, author={John Ruscio and Walter Kaczetow}, journal={Multivariate Behavioral Research}, year={2009}, volume={44}, pages={259 - 280} }

Interest in modeling the structure of latent variables is gaining momentum, and many simulation studies suggest that taxometric analysis can validly assess the relative fit of categorical and dimensional models. The generation and parallel analysis of categorical and dimensional comparison data sets reduces the subjectivity required to interpret results by providing an objective Comparison Curve Fit Index (CCFI). This study takes advantage of developments in the generation of comparison data to…

## 56 Citations

Using the Comparison Curve Fix Index (CCFI) in Taxometric Analyses: Averaging Curves, Standard Errors, and CCFI Profiles

- PsychologyPsychological assessment
- 2018

A series of simulation studies examine the use of the CCFI to flesh out some empirically supported guidelines and find that constructing a CCFI profile can help to differentiate categorical and dimensional data and provide a less biased and more precise estimate of the taxon base rate than conventional methods.

Direct and Conceptual Replications of the Taxometric Analysis of Type A Behavior

- PsychologyJournal of personality and social psychology
- 2019

Direct and conceptual replications of the influential taxometric analysis of Type A Behavior suggest theoretical models of TAB, assessment practices, and data analytic procedures that assume a typology should be replaced by dimensional models, factorial subscale measures, and corresponding statistical approaches.

Comparing the relative fit of categorical and dimensional latent variable models using consistency tests.

- PsychologyPsychological assessment
- 2010

An approach to consistency testing is presented that builds on prior work demonstrating that parallel analyses of categorical and dimensional comparison data provide an accurate index of the relative fit of competing structural models.

Dimensions over categories: a meta-analysis of taxometric research

- PsychologyPsychological Medicine
- 2020

The meta-analytic findings support the conclusion that the great majority of psychological differences between people are latently continuous, and that psychopathology is no exception.

Differentiating categorical and dimensional data with taxometric analysis: are two variables better than none?

- PsychologyPsychological assessment
- 2011

As long as high-quality data are available, it appears that one can have confidence in the results of taxometric analyses performed with only 2 variables, and the potential utility of 2- variables is illustrated using data on proactive and reactive childhood aggression.

Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: resolving the mode problem.

- PsychologyPsychological assessment
- 2009

Performing parallel analyses of categorical and dimensional comparison data and calculating an index of the relative fit of these competing structural models achieves much greater accuracy, improved base rate estimation, and afforded consistency checks with other taxometric procedures.

A taxometric exploration of the latent structure of hoarding.

- PsychologyPsychological assessment
- 2013

The present investigation examined the latent structure of hoarding in three, large independent samples and provided converging evidence that hoarding is best conceptualized as a dimensional construct, present in varying degrees in all individuals.

Taxometric Analysis

- PsychologyReference Module in Neuroscience and Biobehavioral Psychology
- 2021

Whether individual differences are treated as categorical or continuous has consequences for theory, assessment, classification, and research in criminal justice. Paul Meehl's (1995) taxometric…

A contemporary taxometric analysis of the latent structure of self-monitoring.

- PsychologyPsychological assessment
- 2015

Dimensional findings indicate that the conventional model of self-monitoring may merit reexamination, and that theoretical models, measurement practices, and data analytic procedures that assume taxonicity should be replaced by dimensional conceptualizations and corresponding statistical procedures.

Unicorns, snarks, and personality types: A review of the first 102 taxometric studies of personality

- PsychologyAustralian Journal of Psychology
- 2019

Objective The default assumption among most psychologists is that personality varies along a set of underlying dimensions, but belief in the existence of discrete personality types persists in some…

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