ERIC Number: EJ829224
Record Type: Journal
Publication Date: 2006-Jul
Reference Count: 35
New Coke, Rosetta Stones, and Functional Data Analysis: Recommendations for Developing and Validating New Measures of Depression
Santor, Darcy A.
Measurement: Interdisciplinary Research and Perspectives, v4 n3 p188-197 Jul 2006
In this article, the author outlines six recommendations that may guide the continued development and validation of measures of depression. These are (a) articulate and revise a formal theory of signs and symptoms; (b) differentiate complex theoretical goals from pragmatic evaluation needs; (c) invest heavily in new methods and analytic models; (d) calibrate all measures against a common set of items or indicators; (e) seek period expert consensus on theory, measures, and analytic models; and (f) establish a registry of scales and measures to facilitate knowledge exchange. With hundreds of measures now in existence, few of which are used routinely, and many of which have not been revised in decades, continued progress in the assessment of depression will depend on a clear differentiation of both scientific and evaluation goals, on the ability to utilize new methods and technologies systematically, and on the willingness to establish a common reference point for comparison. Failure to equate measures with regard to differences in scale discriminability or differential item functioning means that the results gathered from these measures may be misleading and the conclusions drawn possibly unwarranted.
Descriptors: Evaluation Needs, Data Analysis, Depression (Psychology), Psychometrics, Item Response Theory
Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Hamilton Rating Scale for Depression