Computer adaptive testing: a strategy for monitoring stroke rehabilitation across settings.
Current functional assessment instruments in stroke rehabilitation are often setting-specific and lack precision, breadth, and/or feasibility. Computer adaptive testing (CAT) offers a promising potential solution by providing a quick, yet precise, measure of function that can be used across a broad...
| Publicado en: | Topics in Stroke Rehabilitation Vol. 11; no. 2; pp. 33 - 40 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Spring2004
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106576511&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106576511 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10749357 0OG jtl: Topics in Stroke Rehabilitation issn: 10749357 maglogo: N pubinfo: dt: Spring2004 vid: 11 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106576511 106576511 2005032146 NLM15118965 106576511 ppf: 33 ppct: 7 formats: tig: atl: Computer adaptive testing: a strategy for monitoring stroke rehabilitation across settings. aug: au: Andres PL Black-Schaffer RM Ni P Haley SM affil: Research Assistant Professor of Rehabilitation Sciences, Sargent College of Health and Rehabilitation Sciences, Boston University, Boston, MA sug: subj: Stroke Rehabilitation Outcome Assessment Methods Computerized Adaptive Testing Instrument Construction Outcome Assessment Outcome Assessment Information Set Functional Assessment Methods Instrument Validation Short Form-36 Health Survey (SF-36) Clinical Assessment Tools Validation Studies Rasch Analysis Data Analysis Software Funding Source Human ab: Current functional assessment instruments in stroke rehabilitation are often setting-specific and lack precision, breadth, and/or feasibility. Computer adaptive testing (CAT) offers a promising potential solution by providing a quick, yet precise, measure of function that can be used across a broad range of patient abilities and in multiple settings. CAT technology yields a precise score by selecting very few relevant items from a large and diverse item pool based on each individual's responses. We demonstrate the potential usefulness of a CAT assessment model with a cross-sectional sample of persons with stroke from multiple rehabilitation settings. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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