Western Kentucky University
Concurrent Validity Study of the Clinical Assessment of Depression with the Beck Depression Inventory-Second Edition
Abstract
dc:description.abstract<p> <p>Depression in adolescents if unrecognized, can interfere with every aspect of the individual’s life, increasing the risk for illness and interpersonal difficulties in the future. Therefore, it is imperative that significant levels of depressive symptoms be recognized, assessed, and treated. The usefulness and psychometric properties of new measures of depression are determined, in part, through comparison with existing measures. The current study investigated the concurrent validity of the Clinical Assessment of Depression (CAD; Bracken & Howell, 2004) with the Beck Depression Inventory-Second Edition (BDI-II; Beck, Steer, & Brown, 1996) for an adolescent population. The sample for this investigation consisted of 23 adolescents (13-18 years) with a primary diagnosis of unipolar depression and 98 adolescents that did not have a clinical diagnosis. Correlation coefficients were large and statistically significant between the CAD and BDI-II, ranging from .97 to .66. The CAD was able to distinguish between clinical and non-referred groups on the basis of mean group scores. Using the BDI-II classification as the criterion, a contingency table was computed and a classification consistency of 82% for the total sample was found. Findings of the current study indicate that the CAD appears to have adequate validity to support its use with adolescents.</p> </p>
Degree
thesis:*- Name thesis:degree_name
- Specialist in Education
- Discipline thesis:degree_discipline
- Department of Psychology
- Year
- 2004
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Bowers, Shanna Leigh
- Contributors dc:contributor
-
- Dr. Elizabeth L. Jones (Director), Dr. Carl Myers, Dr. Reagan Brown
Subjects
dc:subject × 4Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.wku.edu/theses/1096
- OAI identifier oai:identifier
- oai:digitalcommons.wku.edu:theses-2099