Development of a hybrid dimensional model and measure of social anxiety symptomatology
by Gros, Daniel F., Ph.D., STATE UNIVERSITY OF NEW YORK AT BUFFALO, 2008, 151 pages; 3320407

Abstract:

Many of the popular diagnostic, assessment, and treatment practices in psychology and psychiatry have been the subject of repeated criticism for their organization of mental disorders into finite categories, rather than broad dimensions. These criticisms are particularly relevant to the anxiety and mood disorders, including social anxiety disorder, major depressive disorder, and generalized anxiety disorder. The present study was designed to investigate the dimensional nature of social anxiety, a particular form of psychopathology characterized by significant comorbidity and heterogeneity, through the development of an assessment tool and subsequent evaluation of its psychometric properties. The study included: (1) the development of the initial item pool and review by an expert panel, (2) an initial study to investigate the factor structure of the item pool and develop provisional scales, and (3) a second study to cross-validate the scales and investigate their convergent and discriminant validity, test-retest reliability, and self-informant agreement. Together, the study resulted in a psychometrically-sound, dimensional measure of social anxiety features consisting of six scales: behavioral avoidance, physiological arousal and avoidance, functional impairment, anhedonia, thought avoidance, and coping with substances.

 
AdvisersLeonard J. Simms; Martin M. Antony
SchoolSTATE UNIVERSITY OF NEW YORK AT BUFFALO
SourceDAI/B 69-08, p. , Nov 2008
Source TypeDissertation
SubjectsClinical psychology; Quantitative psychology and psychometrics
Publication Number3320407
Adobe PDF Access the complete dissertation:
 

» Find an electronic copy at your library.
  Use the link below to access a full citation record of this graduate work:
  http://gateway.proquest.com/openurl%3furl_ver=Z39.88-2004%26res_dat=xri:pqdiss%26rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation%26rft_dat=xri:pqdiss:3320407
  If your library subscribes to the ProQuest Dissertations & Theses (PQDT) database, you may be entitled to a free electronic version of this graduate work. If not, you will have the option to purchase one, and access a 24 page preview for free (if available).

About ProQuest Dissertations & Theses
With over 2.3 million records, the ProQuest Dissertations & Theses (PQDT) database is the most comprehensive collection of dissertations and theses in the world. It is the database of record for graduate research.

The database includes citations of graduate works ranging from the first U.S. dissertation, accepted in 1861, to those accepted as recently as last semester. Of the 2.3 million graduate works included in the database, ProQuest offers more than 1.9 million in full text formats. Of those, over 860,000 are available in PDF format. More than 60,000 dissertations and theses are added to the database each year.

If you have questions, please feel free to visit the ProQuest Web site - http://www.proquest.com - or call ProQuest Hotline Customer Support at 1-800-521-3042.