Differentiating Categories and Dimensions: Evaluating the Robustness of Taxometric Analyses
- 14 April 2009
- journal article
- research article
- Published by Taylor & Francis Ltd in Multivariate Behavioral Research
- Vol. 44 (2), 259-280
- https://doi.org/10.1080/00273170902794248
Abstract
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 examine the robustness of taxometric analyses to unfavorable data conditions. Very large comparison data sets are treated as populations from which many samples are drawn randomly, placing the method on a firmer statistical foundation and increasing its run-time efficiency. The impressive accuracy of the CCFI was consistent with prior findings and robust across novel manipulations of asymmetry, tail weight, and heterogeneous variances. Analyses, an empirical illustration using Minnesota Multiphasic Personality Inventory (MMPI) hypochondriasis data, and discussion focus on the practical implications for differentiating categories and dimensions.Keywords
This publication has 28 references indexed in Scilit:
- Bootstrapping to test for nonzero population correlation coefficients using univariate sampling.Psychological Methods, 2007
- Can sample-specific simulations help detect low base-rate taxonicity?Psychological Assessment, 2005
- An Analysis of Meehl's MAXCOV-HITMAX Procedure for the Case of Continuous IndicatorsMultivariate Behavioral Research, 2005
- An Analysis of Meehl's MAXCOV-HITMAX Procedure for the Case of Dichotomous IndicatorsMultivariate Behavioral Research, 2003
- Bootstrapping correlation coefficients using univariate and bivariate sampling.Psychological Methods, 1998
- Robustness of Taxometric Analysis with Skewed Indicators: I. a Monte Carlo Study of the Mambac ProcedurePsychological Reports, 1996
- The earth is round (p < .05).American Psychologist, 1994
- An A to Z guide to DSM-IV conundrums.Journal of Abnormal Psychology, 1991
- Bootstrap Methods: Another Look at the JackknifeThe Annals of Statistics, 1979
- Construct validity in psychological tests.Psychological Bulletin, 1955