Item Response Theory Modeling of the Philadelphia Naming Test.
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 inte...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 58; no. 3; pp. 865 - 878 |
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| Autores principales: | , , |
| Formato: | Artículo |
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American Speech-Language-Hearing Association
Jun2015
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=103599744&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 103599744 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Jun2015 vid: 58 iid: 3 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 103599744 10.1044/2015_JSLHR-L-14-0249 ppf: 865 ppct: 13 formats: fmt: @attributes: type: P size: 1.4MB tig: atl: Item Response Theory Modeling of the Philadelphia Naming Test. aug: au: Fergadiotis, Gerasimos Kellough, Stacey Hula, William D. affil: Portland State University, OR Geriatric Research Education and Clinical Center, VA Pittsburgh Healthcare System, PA University of Pittsburgh, PA su: Pennsylvania Aphasia Neuropsychological tests Speech evaluation Confidence intervals Factor analysis Goodness-of-fit tests Probability theory Regression analysis Research funding Phonological awareness Research methodology evaluation Statistical models Descriptive statistics sug: subj: Pennsylvania Aphasia Neuropsychological tests Speech evaluation Confidence intervals Factor analysis Goodness-of-fit tests Probability theory Regression analysis Research funding Phonological awareness Research methodology evaluation Statistical models Descriptive statistics ab: 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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