Some Posterior Standard Deviations in Item Response Theory.
A study was conducted to examine some posterior standard deviations in item response theory (IRT). Data were obtained primarily by using two sets of priors for different IRT models for sample sizes of 100 and 1,000. Findings revealed that use of priors may lessen the instability of estimates of it...
| Publicado en: | Educational & Psychological Measurement Vol. 67; no. 2; pp. 258 - 280 |
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| Formato: | Artículo |
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Sage Publications Inc.
April 2007
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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=ssf&AN=507969158&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 507969158 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: N pubinfo: dt: April 2007 vid: 67 iid: 2 pid: 344 pub: Sage Publications Inc. artinfo: ui: 507969158 10.1177/00131644070670020501 ppf: 258 ppct: 22 formats: tig: atl: Some Posterior Standard Deviations in Item Response Theory. aug: au: Kim, Seock-Ho su: Standard deviations Bayesian analysis Item response theory sug: subj: Standard deviations Bayesian analysis Item response theory ab: A study was conducted to examine some posterior standard deviations in item response theory (IRT). Data were obtained primarily by using two sets of priors for different IRT models for sample sizes of 100 and 1,000. Findings revealed that use of priors may lessen the instability of estimates of item parameters, given that the choice of priors is reasonable. Findings also showed that the sample size needed for acceptable accuracy for the practical application of item response theory can be inferred from computer programs and tables. Findings are discussed in detail. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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