Item Response Theory Modeling of the Philadelphia Naming Test

Autor/inn/en	Fergadiotis, Gerasimos; Kellough, Stacey; Hula, William D.
Titel	Item Response Theory Modeling of the Philadelphia Naming Test
Quelle	In: Journal of Speech, Language, and Hearing Research, 58 (2015) 3, S.865-877 (13 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1092-4388
DOI	10.1044/2015_JSLHR-L-14-0249
Schlagwörter	Item Response Theory; Scores; Difficulty Level; Test Items; Naming; Models; Regression (Statistics); Aphasia; Communication Disorders; Morphology (Languages); Computation; Predictor Variables; Context Effect; Age Differences; Language Impairments; Language Skills + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Schwierigkeitsgrad; Test content; Testaufgabe; Analogiemodell; Regression; Regressionsanalyse; Expressive Aphasie; Aphasie; Kommunikationsstörung; Morphology; Morphologie; Prädiktor; Age; Difference; Age difference; Altersunterschied; Speech disorder; Speech disorders; Speech disabilities; Speech disability; Speech handicap; Speech handicaps; Speech impairment; Speech impairments; Language handicaps; Sprachbehinderung; Language skill; Sprachkompetenz
Abstract	Purpose: In this study, we investigated the fit of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996) to an item-response-theory measurement model, estimated the precision of the resulting scores and item parameters, and provided a theoretical rationale for the interpretation of PNT overall scores by relating explanatory variables to item difficulty. This article describes the statistical model underlying the computer adaptive PNT presented in a companion article (Hula, Kellough, & Fergadiotis, 2015). Method: Using archival data, we evaluated the fit of the PNT to 1- and 2-parameter logistic models and examined the precision of the resulting parameter estimates. We regressed the item difficulty estimates on three predictor variables: word length, age of acquisition, and contextual diversity. Results: The 2-parameter logistic model demonstrated marginally better fit, but the fit of the 1-parameter logistic model was adequate. Precision was excellent for both person ability and item difficulty estimates. Word length, age of acquisition, and contextual diversity all independently contributed to variance in item difficulty. Conclusions: Item-response-theory methods can be productively used to analyze and quantify anomia severity in aphasia. Regression of item difficulty on lexical variables supported the validity of the PNT and interpretation of anomia severity scores in the context of current word-finding models. (As Provided).
Anmerkungen	American Speech-Language-Hearing Association (ASHA). 10801 Rockville Pike, Rockville, MD 20852. Tel: 800-638-8255; Fax: 301-571-0457; e-mail: subscribe@asha.org; Web site: http://jslhr.asha.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01