Validation of Diagnostic Measures Based on Latent Class Analysis: A Step Forward in Response Bias Research

Autor/inn/en	Thomas, Michael L.; Lanyon, Richard I.; Millsap, Roger E.
Titel	Validation of Diagnostic Measures Based on Latent Class Analysis: A Step Forward in Response Bias Research
Quelle	In: Psychological Assessment, 21 (2009) 2, S.227-230 (4 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1040-3590
DOI	10.1037/a0015693
Schlagwörter	Validity; Measures (Individuals); Statistical Analysis; Classification; Response Style (Tests); Deception; Minnesota Multiphasic Personality Inventory; Psychological Screening Inventory + Suchen Sie Ihr Suchwort? Gültigkeit; Messdaten; Statistische Analyse; Classification system; Klassifikation; Klassifikationssystem; Antwortverhalten; Täuschung
Abstract	The use of criterion group validation is hindered by the difficulty of classifying individuals on latent constructs. Latent class analysis (LCA) is a method that can be used for determining the validity of scales meant to assess latent constructs without such a priori classifications. The authors used this method to examine the ability of the L scale of the MMPI-2 (J. N. Butcher et al., 2001), the Impression Management scale of the Balanced Inventory of Desirable Responding (D. L. Paulhus, 1991), and the Endorsement of Excessive Virtue scale of the Psychological Screening Inventory (R. I. Lanyon, 1970) to identify favorable response bias (misrepresentation) in a situation where no criterion for individual classifications existed. Results suggest that LCA can be used as a method for assessing the validity of scales that measure unobservable conditions. (Contains 2 footnotes and 3 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10