Further validation of the IDAS: evidence of convergent, discriminant, criterion, and incremental validity.

The authors explicated the validity of the Inventory of Depression and Anxiety Symptoms (IDAS; D. Watson et al., 2007) in 2 samples (306 college students and 605 psychiatric patients). The IDAS scales showed strong convergent validity in relation to parallel interview-based scores on the Clinician Rating version of the IDAS; the mean convergent correlations were .51 and .62 in the student and patient samples, respectively. With the exception of the Well-Being Scale, the scales also consistently demonstrated significant discriminant validity. Furthermore, the scales displayed substantial criterion validity in relation to Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; American Psychiatric Association, 1994) mood and anxiety disorder diagnoses in the patient sample. The authors identified particularly clear and strong associations between (a) major depression and the IDAS General Depression, Dysphoria and Well-Being scales, (b) panic disorder and IDAS Panic, (c) posttraumatic stress disorder and IDAS Traumatic Intrusions, and (d) social phobia and IDAS Social Anxiety. Finally, in logistic regression analyses, the IDAS scales showed significant incremental validity in predicting several DSM-IV diagnoses when compared against the Beck Depression Inventory-II (A. T. Beck, R. A. Steer, & G. K. Brown, 1996) and the Beck Anxiety Inventory (A. T. Beck & R. A. Steer, 1990).

[1]  D. Watson,et al.  Development and validation of the Inventory of Depression and Anxiety Symptoms (IDAS). , 2007, Psychological assessment.

[2]  D. Watson,et al.  The structure of common DSM-IV and ICD-10 mental disorders in the Australian general population , 2006, Psychological Medicine.

[3]  D. Watson Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. , 2005, Journal of abnormal psychology.

[4]  Kelly C. Cukrowicz,et al.  Evidence-based assessment of depression in adults. , 2005, Psychological assessment.

[5]  Jessica L. Tracy,et al.  Two Replicable Suppressor Situations in Personality Research , 2004, Multivariate behavioral research.

[6]  J Ormel,et al.  The structure and stability of common mental disorders: the NEMESIS study. , 2001, Archives of general psychiatry.

[7]  R. Krueger The structure of common mental disorders. , 1999, Archives of general psychiatry.

[8]  D. Watson,et al.  Tripartite model of anxiety and depression: psychometric evidence and taxonomic implications. , 1991, Journal of abnormal psychology.

[9]  P. Lachenbruch Statistical Power Analysis for the Behavioral Sciences (2nd ed.) , 1989 .

[10]  G. Metalsky,et al.  Hopelessness depression: A theory-based subtype of depression. , 1989 .

[11]  L. Radloff The CES-D Scale , 1977 .

[12]  M. Hamilton A RATING SCALE FOR DEPRESSION , 1960, Journal of neurology, neurosurgery, and psychiatry.

[13]  D. Campbell,et al.  Convergent and discriminant validation by the multitrait-multimethod matrix. , 1959, Psychological bulletin.

[14]  J. M. Cattell,et al.  The Psychological Corporation , 1923, Science.

[15]  G. Siegle,et al.  Contemporary methodological issues in the study of depression: Not your father's Oldsmobile. , 2002 .

[16]  S. Mineka,et al.  Comorbidity of anxiety and unipolar mood disorders. , 1998, Annual review of psychology.

[17]  D. Watson,et al.  Diagnosis and classification of psychopathology: challenges to the current system and future directions. , 1995, Annual review of psychology.

[18]  D. Cicchetti Guidelines, Criteria, and Rules of Thumb for Evaluating Normed and Standardized Assessment Instruments in Psychology. , 1994 .

[19]  Dc Washington Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. , 1994 .

[20]  A. Beck,et al.  Psychometric properties of the Beck Depression Inventory: Twenty-five years of evaluation , 1988 .

[21]  D. A. Kenny,et al.  Statistics for the social and behavioral sciences , 1987 .