Item response theory in affective instrument development: an illustration.
The benefits of item response theory (IRT) analysis in obtaining empirical support for construct validity make it an essential step in the instrument development process. IRT analysis can result in finer construct interpretations that lead to more thorough descriptions of low- and high-scoring respo...
| Publicado en: | Journal of Nursing Measurement Vol. 9; no. 1; pp. 5 - 23 |
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| Autores principales: | , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Springer Publishing Company, Inc.
Spring/Summer2001
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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=107053894&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 107053894 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10613749 Z2O jtl: Journal of Nursing Measurement issn: 10613749 maglogo: N pubinfo: dt: Spring/Summer2001 vid: 9 iid: 1 pid: 8953 pub: Springer Publishing Company, Inc. place: New York, New York artinfo: ui: 107053894 107053894 2001084906 NLM11469142 107053894 ppf: 5 ppct: 18 formats: tig: atl: Item response theory in affective instrument development: an illustration. aug: au: Beck CT Gable RK affil: University of Connecticut, School of Nursing, Storrs sug: subj: Instrument Construction Theory Measurement Issues and Assessments Rasch Analysis Data Analysis Software Factor Analysis Psychological Tests Descriptive Statistics Chi Square Test Depression, Postpartum Probability Anxiety Pregnancy Female Female ab: The benefits of item response theory (IRT) analysis in obtaining empirical support for construct validity make it an essential step in the instrument development process. IRT analysis can result in finer construct interpretations that lead to more thorough descriptions of low- and high-scoring respondents. A critical function of IRT is its ability to determine the adequacy with which the attitude continuum underlying each dimension is assessed by the respective items in an instrument. Many nurse researchers, however, are not reaping the benefits of IRT in the development of affective instruments. The purpose of this article is to familiarize nurse researchers with this valuable approach through a description of the Facets computer program. Facets uses a one parameter (i.e., item difficulty) Rasch measurement model. Data from a survey of 525 new mothers that assessed the psychometric properties of the Postpartum Depression Screening Scale are used to illustrate the Facets program. It is hoped that IRT will gain increased prominence in affective instrument development as more nurse researchers become aware of computer programs such as Facets to assist in analysis. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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