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A comparison of the predictive abilities of dimensional and categorical models of unipolar depression in the National Comorbidity Survey

  • J. J. Prisciandaro (a1) and J. E. Roberts (a1)
  • DOI:
  • Published online: 10 October 2008

Taxometric research on depression has yielded mixed results, with some studies supporting dimensional solutions and others supporting taxonic solutions. Although supplementary tests of construct validity might clarify these mixed findings, to date such analyses have not been reported. The present study represents a follow-up to our previous taxometric study of depression designed to evaluate the relative predictive validities of dimensional and categorical models of depression.


Two sets of dimensional and categorical models of depression were constructed from the depression items of the Composite International Diagnostic Interview: (1) empirically derived models obtained using latent structure analyses and (2) rationally selected models, including an additive depressive symptoms scale (dimensional) and DSM major depressive episodes (categorical). Both sets of dimensional and categorical models were compared in terms of their abilities to predict various clinically relevant outcomes (psychiatric diagnoses and impairment).


Factor analyses suggested a two-factor model (‘cognitive–affective’ and ‘somatic’ symptoms) and latent class analyses suggested a three-class model (‘severe depression’, ‘moderate depression’ and ‘cognitive–affective distress’). In predictive analyses that simultaneously included dimensional and categorical models as predictors, the dimensional models remained significant unique predictors of outcomes while the categorical models did not.


Both dimensional models provided superior predictive validity relative to their categorical counterparts. These results provide construct validity evidence for the dimensional findings from our previous taxometric study and thus inspire confidence in dimensional conceptualizations of depression. It remains for future research to evaluate the construct validity of the taxonic solutions reported in the literature.

Corresponding author
*Address for correspondence: Dr J. E. Roberts, University at Buffalo, The State University of New York, Department of Psychology, Park Hall, Box 604110, Amherst, NY 14260-4110, USA. (Email:
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PJ Ambrosini , DS Bennett , CM Cleland , N Haslam (2002). Taxonicity of adolescent melancholia: a categorical or dimensional construct. Journal of Psychiatric Research 36, 247256.

SRH Beach , N Amir (2006). Depression is taxonic. Journal of Psychopathology and Behavioral Assessment 28, 171178.

JC Coyne (1994). Self-reported distress: analog or ersatz depression? Psychological Bulletin 116, 2945.

GL Flett , K Vredenburg , L Krames (1997). The continuity of depression in clinical and nonclinical samples. Psychological Bulletin 121, 395416.

CL Franklin , DR Strong , RL Greene (2002). A taxometric analysis of the MMPI-2 depression scales. Journal of Personality Assessment 79, 110121.

BL Hankin , RC Fraley , BB Lahey , ID Waldman (2005). Is depression best viewed as a continuum or discrete category? A taxometric analysis of childhood and adolescent depression in a population-based sample. Journal of Abnormal Psychology 114, 96110.

N Haslam , AT Beck (1994). Subtyping major depression: a taxometric analysis. Journal of Abnormal Psychology 103, 686692.

JL Horn (1965). A rationale and test for the number of factors in factor analysis. Psychometrika 30, 179185.

L Hu , PM Bentler (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 6, 155.

RC Kessler (2002 b). Epidemiological perspectives for the development of future diagnostic systems. Psychopathology 35, 158161.

RC Kessler , P Berglund , O Demler , R Jin , D Koretz , KR Merikangas , AJ Rush , EE Walters , PS Wang (2003). The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R). Journal of the American Medical Association 289, 30953105.

RC Kessler , CG Davis , KS Kendler (1997). Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychological Medicine 27, 11011119.

RC Kessler , KA McGonagle , S Zhao , CB Nelson , M Hughes , S Eshleman , HU Wittchen , KS Kendler (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Survey. Archives of General Psychiatry 51, 819.

RC Kessler , H-U Wittchen , JM Abelson , KA McGonagle , N Schwarz , KS Kendler , B Knäuper , S Zhao (1998). Methodological studies of the Composite International Diagnostic Interview (CIDI) in the US National Comorbidity Survey (NCS). International Journal of Methods in Psychiatric Research 7, 3355.

RF Krueger (1999). The structure of common mental disorders. Archives of General Psychiatry 56, 921926.

KE Markon , RF Krueger (2006). Information-theoretic latent distribution modeling: distinguishing discrete and continuous latent variable models. Psychological Methods 11, 228243.

KL Nylund , T Asparouhov , BO Muthén (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Structural Equation Modeling 14, 535569.

B O'Connor (2000). SPSS and SAS programs for determining the number of components using parallel analysis and Velicer's MAP test. Behavior Research Methods, Instrumentation, and Computers 32, 396402.

JJ Prisciandaro , JE Roberts (2005). A taxometric investigation of unipolar depression in the National Comorbidity Survey. Journal of Abnormal Psychology 114, 718728.

KJ Preacher , RC MacCallum (2003). Repairing Tom Swift's Electric Factor Analysis Machine. Understanding Statistics 2, 1343.

LN Robins , J Wing , H-U Wittchen , JE Helzer , TF Babor , J Burke , A Farmer , A Jablenski , R Pickens , DA Regier , N Sartorius , LH Towle (1988). The Composite International Diagnostic Interview: an epidemiologic instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry 45, 10691077.

AM Ruscio , J Ruscio (2002). The latent structure of analogue depression: should the Beck Depression Inventory be used to classify groups? Psychological Assessment 14, 135145.

J Ruscio , AM Ruscio (2000). Informing the continuity controversy: a taxometric analysis of depression. Journal of Abnormal Psychology 109, 473487.

J Ruscio , M Zimmerman , JB McGlinchey , I Chelminski , D Young (2007). Diagnosing major depressive disorder: XI. A taxometric investigation of the categorical–dimensional debate on the structure underlying DSM-IV symptoms. Journal of Nervous and Mental Disease 195, 1019.

AB Shafer (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of Clinical Psychology 62, 123146.

RL Spitzer , JBW Williams , M Gibbon , MB First (1992). The Structured Clinical Interview for DSM-III-R (SCID). Archives of General Psychiatry 49, 624636.

MD Sullivan , AZ LaCroix , JE Russo , EA Walker (2001). Depression and self reported physical health in patients with coronary disease: mediating and moderating factors. Psychosomatic Medicine 63, 248256.

TJ Wade , J Cairney (2000). Major depressive disorder and marital transition among mothers: results from a national panel study. Journal of Nervous and Mental Disease 188, 741750.

D Watson (2003). Investigating the construct validity of the dissociative taxon: stability analyses of normal and pathological dissociation. Journal of Abnormal Psychology 112, 298305.

H-U Wittchen (1991). Cross-cultural feasibility, reliability and sources of variance of the Composite International Diagnostic Interview (CIDI). British Journal of Psychiatry 159, 645653.

H-U Wittchen (1994). Reliability and validity studies of the WHO Composite International Diagnostic Interview: a critical review. Journal of Psychiatric Research 28, 5784.

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