Robustness of Taxometric Analysis with Skewed Indicators: I. a Monte Carlo Study of the Mambac Procedure
- 1 August 1996
- journal article
- research article
- Published by SAGE Publications in Psychological Reports
- Vol. 79 (1) , 243-248
- https://doi.org/10.2466/pr0.1996.79.1.243
Abstract
A small Monte Carlo study was conducted to determine whether Meehl and Yonce's (1994) MAMBAC procedure—a taxometric method for testing between discrete and continuous models of latent variables—is robust when the latent variable and its manifest indicators are skewed Analysis of constructed data sets containing three levels of skew indicated that the MAMBAC procedure is highly unlikely to yield spurious findings of discreteness (“taxonicity”) even when skewness is considerable. MAMBAC appears to be a robust and promising addition to the family of taxometric procedures.Keywords
This publication has 14 references indexed in Scilit:
- Taxometric Analysis: II. Detecting Taxonicity Using Covariance of Two Quantitative Indicators in Successive Intervals of a Third Indicator (Maxcov Procedure)Psychological Reports, 1996
- Bootstraps taxometrics: Solving the classification problem in psychopathology.American Psychologist, 1995
- Subtyping major depression: A taxometric analysis.Journal of Abnormal Psychology, 1994
- Categories of social relationshipCognition, 1994
- Psychopathy as a taxon: Evidence that psychopaths are a discrete class.Journal of Consulting and Clinical Psychology, 1994
- Confirming the latent structure and base rate of schizotypy: A taxometric analysis.Journal of Abnormal Psychology, 1992
- Factors and Taxa, Traits and Types, Differences of Degree and Differences in KindJournal of Personality, 1992
- "To carve nature at its joints": On the existence of discrete classes in personality.Psychological Review, 1985
- Finite Mixture DistributionsPublished by Springer Nature ,1981
- Detection of the schizoid taxon with MMPI indicators.Journal of Abnormal Psychology, 1979