Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables

Journal of Experimental Psychopathology

Volumn 2, Issue 2, 2011, Pages 170-196

  Ruscio, John ^a   Ruscio, Ayelet Meron ^b   Carney, Lauren M ^a  

^a The College of New Jersey   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

categories; dimensions; model comparison; Taxometric analysis

Indexed keywords

EID: 84856778116     PISSN: None     EISSN: 20438087     Source Type: Journal    
DOI: 10.5127/jep.010910     Document Type: Article

References (40)

1. Bartlett M. S. (1937). The statistical conception of mental factors. British Journal of Psychology, 28, 97–104.
2. Beauchaine T. P. (2003). Taxometrics and developmental psychopathology. Development and Psychopathology, 15, 501–527. doi: 10.1017/S0954579403000270
3. Cleveland W. S. (1979). Robust locally-weighted regression and smoothing scatterplots. Journal of the American Statistical Association, 74, 829–836. doi: 10.2307/2286407
4. DeCoster J., Iselin A-M. R., & Gallucci M. (2009). A conceptual and empirical examination of justifications for dichotomization. Psychological Methods, 14, 349–366. doi: 10.1037/a0016956
5. Gangestad S., & Snyder M. (1985). “To carve nature at its joints”: On the existence of discrete classes in personality. Psychological Review, 92, 317–349. doi: 10.1037/0033-295X.92.3.317
6. Grove W. M. (2004). The MAXSLOPE taxometric procedure: Mathematical derivation, parameter estimation, consistency tests. Psychological Reports, 95, 517–550.
7. Grove W. M., & Meehl P. E. (1993). Simple regression-based procedures for taxometric investigations. Psychological Reports, 73, 707–737.
8. Haslam N. (1997). Evidence that male sexual orientation is a matter of degree. Journal of Personality and Social Psychology, 73, 862–870. doi: 10.1037/0022-3514.73.4.862
9. Haslam N. (in press). The latent structure of personality and psychopathology: A review of trends in taxometric research. Scientific Review of Mental Health Practice.
10. MacCallum R. C., Zhang S., Preacher K. J., & Rucker D. D. (2002). On the practice of dichotomization of quantitative variables. Psychological Methods, 7, 19–40. doi: 10.1037/1082-989X.7.1.19
11. Meehl P. E. (1965). Detecting latent clinical taxa by fallible quantitative indicators lacking an accepted criterion. Reports from the research laboratories of the Department of Psychiatry, University of Minnesota, Report No. PR-65–2.
12. Meehl P. E. (1992). Factors and taxa, traits and types, differences of degree and differences in kind. Journal of Personality, 60, 117–174. doi: 10.1111/j.1467-6494.1992.tb00269.x
13. Meehl P. E. (1995). Bootstraps taxometrics: Solving the classification problem in psychopathology. American Psychologist, 50, 266–275. doi: 10.1037/0003-066X.50.4.266
14. Meehl P. E. (2004). What's in a taxon? Journal of Abnormal Psychology, 113, 39–43. doi: 10.1037/0021-843X.113.1.39
15. Meehl P. E., & Yonce L. J. (1994). Taxometric analysis: I. Detecting taxonicity with two quantitative indicators using means above and below a sliding cut (MAMBAC procedure). Psychological Reports, 74, 1059–1274.
16. Meehl P. E., & Yonce L. J. (1996). Taxometric analysis: II. Detecting taxonicity using covariance of two quantitative indicators in successive intervals of a third indicator (MAXCOV procedure). Psychological Reports, 78, 1091–1227.
17. Micceri T. (1989). The unicorn, the normal curve, and other improbable creatures. Psychological Bulletin, 105, 156–166. doi: 10.1037/0033-2909.105.1.156
18. Ruscio A. M. (2008). Important questions remain to be addressed before adopting a dimensional classification of mental disorders. American Psychologist, 63, 61–62. doi: 10.1037/0003-066X.63.1.61
19. Ruscio J. (2007). Taxometric analysis: An empirically-grounded approach to implementing the model. Criminal Justice and Behavior, 34, 1588–1622. doi: 10.1177/0093854807307027
20. Ruscio J. (2009). Assigning cases to groups using taxometric results: An empirical comparison of classification techniques. Assessment, 16, 55–70. doi: 10.1177/1073191108320193
21. Ruscio J. (2010). Taxometric programs for the R computing environment: User's manual. Available at http://www.tcnj.edu/∼ruscio/taxometrics.html
22. Ruscio J., Haslam N., & Ruscio A. M. (2006). Introduction to the taxometric method: A practical guide. Mahwah, NJ: Lawrence Erlbaum.
23. Ruscio J., & Kaczetow W. (2008). Simulating multivariate nonnormal data using an iterative algorithm. Multivariate Behavioral Research, 43, 355–381. doi: 10.1080/00273170802285693
24. Ruscio J., & Kaczetow W. (2009). Differentiating categories and dimensions: Evaluating the robustness of taxometric analysis. Multivariate Behavioral Research, 44, 259–280. doi: 10.1080/00273170902794248
25. Ruscio J., & Marcus D. K. (2007). Detecting small taxa using simulated comparison data: A reanalysis of Beach, Amir, and Bau's (2005) data. Psychological Assessment, 19, 241–246. doi: 10.1037/1040-3590.19.2.241
26. Ruscio J., & Ruscio A. M. (2002). A structure-based approach to psychological assessment: Matching measurement models to latent structure. Assessment, 9, 4–16.
27. Ruscio J., & Ruscio A. M. (2004a). A conceptual and methodological checklist for conducting a taxometric investigation. Behavior Therapy, 35, 403–447. doi: 10.1016/S0005-7894(04)80044-3
28. Ruscio J., & Ruscio A. M. (2004b). A nontechnical introduction to the taxometric method. Understanding Statistics, 3, 151–193. doi: 10.1207/s15328031us0303_2
29. Ruscio J., & Ruscio A. M. (2004c). Clarifying boundary issues in psychopathology: The role of taxometrics in a comprehensive program of structural research. Journal of Abnormal Psychology, 113, 24–38. doi: 10.1037/0021-843X.113.1.24
30. Ruscio J., & Ruscio A. M., & Keane T. M. (2004). Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: The case of Involuntary Defeat Syndrome. Journal of Abnormal Psychology, 113, 145–154. doi: 10.1037/0021-843X.113.1.145
31. Ruscio J., Ruscio A. M., & Meron M. (2007). Applying the bootstrap to taxometric analysis: Generating empirical sampling distributions to help interpret results. Multivariate Behavioral Research, 42, 349–386.
32. Ruscio J., & Walters G. D. (2009). Using comparison data to differentiate categorical and dimensional data by examining factor score distributions: Resolving the mode problem. Psychological Assessment, 21, 578–594. doi: 10.1037/a0016558
33. Ruscio J., & Walters G. D. (in press). Differentiating categorical and dimensional data with taxometric analysis: Are two variables better than none? Psychological Assessment.
34. Ruscio J., Walters G. D., Marcus D. K., & Kaczetow W. (2010). Comparing the relative fit of categorical and dimensional latent variable models using consistency tests. Psychological Assessment, 22, 5–21. doi: 10.1037/a0018259
35. Steinley D., & McDonald R. P. (2007). Examining factor score distributions to determine the nature of latent spaces. Multivariate Behavioral Research, 42, 133–156.
36. Waller N. G., & Meehl P. E. (1998). Multivariate taxometric procedures: Distinguishing types from continua. Thousand Oaks, CA: Sage.
37. Walters G. D., McGrath R. E., & Knight R. A. (2010). Taxometrics, polytomous constructs, and the comparison curve fit index: A Monte Carlo study. Psychological Assessment, 22, 149–156. doi: 10.1037/a0017819
38. Walters G. D., & Ruscio J. (2009). To sum or not to sum: Taxometric analysis with ordered categorical assessment items. Psychological Assessment, 21, 99–111. doi: 10.1037/a0015010
39. Walters G. D., & Ruscio J. (in press). Where do we draw the line: Assigning cases to subsamples for MAMBAC, MAXCOV, and MAXEIG taxometric analyses. Assessment.
40. Widiger T. A., & Trull T. J. (2007). Plate tectonics in the classification of personality disorder: Shifting to a dimensional model. American Psychologist, 62, 71–83. doi: 10.1037/0003-066X.62.2.71