Title
Using Taxometric Analysis to Distinguish a Small Latent Taxon from a Latent Dimension with Positively Skewed Indicators: The Case of Involuntary Defeat Syndrome
Document Type
Article
Publication Title
Journal of Abnormal Psychology
Publication Date
1-1-2004
Abstract
Joining the debate on the structure of depression, S. R. H. Beach and N. Amir (2003) analyzed college students' responses to 6 Beck Depression Inventory (BDI) items with predominantly somatic content and concluded that they identified a small latent taxon corresponding to involuntary defeat syndrome. An exact replication of these analyses yielded virtually identical taxometric results, but parallel analyses of simulated taxonic and dimensional comparison data matching the intercorrelations and skewed distributions of the BDI items showed the results to be more consistent with dimensional than with taxonic latent structure. Analyses in a clinical sample with nonskewed indicators further supported a dimensional interpretation. The authors discuss methodological strategies for conducting and interpreting taxometric analyses under the adverse conditions commonly encountered in psychopathology research, including skewed indicators and small putative taxa.
Volume
113
Issue
1
First Page
145
Last Page
154
DOI
10.1037/0021-843X.113.1.145
ISSN
0021843X
Recommended Citation
Ruscio, John; Ruscio, Ayelet Meron; and Keane, Terence M., "Using Taxometric Analysis to Distinguish a Small Latent Taxon from a Latent Dimension with Positively Skewed Indicators: The Case of Involuntary Defeat Syndrome" (2004). Faculty Publications. 1451.
https://jayscholar.etown.edu/facpubharvest/1451