title: Detecting small taxa using simulated comparison data: A reanalysis of Beach, Amir, and Bau's (2005) data.
abstract: On the basis of taxometric analyses of data sets that they created to pose interpretive challenges, S. R. H. Beach, N. Amir, and J. J. Bau (2005) cautioned that using comparison data simulated by J. Ruscio's programs can lead to inaccurate conclusions. Careful examination of S. R. H. Beach et al.'s methods and results plus reanalysis of their data fails to substantiate this concern: Using comparison data identified the taxonic structure of S. R. H. Beach et al.'s data sets, even when the taxon base rate was very low. The authors show that J. Ruscio's simulation programs generate comparison data appropriately and that analyzing these data provides a useful interpretive aid. Additionally, the authors discuss and illustrate the effective use of the inchworm consistency test to disambiguate taxometric results for small taxa and dimensional constructs with positively skewed indicators.
authors.affiliation: Department of Psychology, The College of New Jersey, Ewing, NJ 08628, USA. ruscio@tcnj.edu
authors.forename: John
authors.initials: J
authors.lastname: Ruscio
authors.forename: David K
authors.initials: DK
authors.lastname: Marcus
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D006801:Humans; D008432:Mathematical Computing; D010552:Personality Assessment / Q000706:statistics & numerical data*; D010555:Personality Inventory / Q000706:statistics & numerical data*; D011594:Psychometrics / Q000706:statistics & numerical data*