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dc.contributor.authorBozard, Jennifer Leigh
dc.date.accessioned2014-03-04T18:26:54Z
dc.date.available2014-03-04T18:26:54Z
dc.date.issued2010-05
dc.identifier.otherbozard_jennifer_l_201005_ma
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/bozard_jennifer_l_201005_ma
dc.identifier.urihttp://hdl.handle.net/10724/26248
dc.description.abstractThis study examined the invariance of items (based on sex of individuals) on a diagnostic classification screener, Body Image Rating Scale (BIRS), for Body Dysmorphic Disorder (BDD). The purpose of this study was to develop a method for testing invariance in diagnostic classification models (DCMs). The development of a diagnostic classification model for BDD was vital; specifically, using MPlus, a loglinear cognitive diagnostic model (LCDM) was created. The investigation to construct a method for testing invariance in DCMs began using a method for testing invariance for confirmatory factor analysis (CFA), which was already established. Adapting the syntax for invariance testing for CFA to work for DCMs was based on the how CFA models are similar to DCMs in comparing the type of data and latent variable appropriate for the model. Using MPlus, syntax was created to perform invariance testing for the LCDM for BDD.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectINVARIANCE TESTING
dc.subjectDIAGNOSTIC CLASSIFICATION MODEL
dc.subjectCONFIRMATORY FACTOR ANALYSIS
dc.subjectBODY DYSMORPHIC DISORDER
dc.titleInvariance testing in diagnostic classification models
dc.typeThesis
dc.description.degreeMA
dc.description.departmentEducational Psychology and Instructional Technology
dc.description.majorEducational Psychology
dc.description.advisorJonathan Templin
dc.description.committeeJonathan Templin
dc.description.committeeAllan Cohen
dc.description.committeeDeborah Bandalos


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