Date of Award
1999
Publication Type
Master Thesis
Degree Name
M.A.
Department
Psychology
Keywords
Psychology, Clinical.
Supervisor
Towson, Shelagh,
Rights
info:eu-repo/semantics/openAccess
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Abstract
This paper provides a critical methodological analysis of current validation and research methods for mental disorders. The purpose of this paper is threefold: First, we will examine the construct validation program and the use of factor analysis in psychiatric validation studies. Second, we will point out some limitations to linear common-factor analysis in this context. This will be done through hypothetical scenarios of mental disorders which do not conform to the linear common-factor model. Third, we will briefly provide some suggestions for dealing with these limitations. These suggestions are intended to alert the researcher to alternative statistical models, such as the unfolding model and the non-linear factor model, to be used in the service of mental disorder classification and validation.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1999 .J32. Source: Masters Abstracts International, Volume: 39-02, page: 0595. Adviser: Shelagh Towson. Thesis (M.A.)--University of Windsor (Canada), 1999.
Recommended Citation
Jalava, Jarkko Ville., "Linear common-factor analysis in mental disorder validation: Problems and alternatives." (1999). Electronic Theses and Dissertations. 2616.
https://scholar.uwindsor.ca/etd/2616