Estimation of Conditional Standard Errors of Measurement for MLE Scores in MST.
This paper proposes an information-based analytic method for calculating the conditional standard error of measurement (CSEM) in multistage testing (MST) using maximum likelihood estimation. The accuracy of the proposed method was evaluated by comparing CSEMs computed using the analytic method with...
| Publicado en: | Educational & Psychological Measurement Vol. 86; no. 5; pp. 932 - 948 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
Oct2026
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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=196688462&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 196688462 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Oct2026 vid: 86 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 196688462 10.1177/00131644261420391 ppf: 932 ppct: 16 formats: tig: atl: Estimation of Conditional Standard Errors of Measurement for MLE Scores in MST. aug: au: Stirn, Yuanyuan J. Lee, Won-Chan affil: The University of Iowa, Iowa City, USA su: Psychometrics Computer adaptive testing Statistical models T-test (Statistics) Probability theory Descriptive statistics Simulation methods in education Statistics Comparative studies Data analysis software Computer assisted testing (Education) sug: subj: Psychometrics Computer adaptive testing Statistical models T-test (Statistics) Probability theory Descriptive statistics Simulation methods in education Statistics Comparative studies Data analysis software Computer assisted testing (Education) keyword: conditional standard error of measurement maximum likelihood estimation multistage testing test information function conditional standard error of measurement maximum likelihood estimation multistage testing test information function ab: This paper proposes an information-based analytic method for calculating the conditional standard error of measurement (CSEM) in multistage testing (MST) using maximum likelihood estimation. The accuracy of the proposed method was evaluated by comparing CSEMs computed using the analytic method with those obtained from simulation across the same four MST designs. The results show that analytic and simulation-based CSEMs converge as test length increases, indicating that the proposed method provides a reliable approximation for longer tests. However, shorter tests and more complex MST designs require additional items to achieve comparable accuracy. The study also compared the proposed method with Park et al.'s analytic approach. Practical implications of the proposed method are discussed. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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