Developing Multistage Tests Using D -Scoring Method.
The D -scoring method for scoring and equating tests with binary items proposed by Dimitrov offers some of the advantages of item response theory, such as item-level difficulty information and score computation that reflects the item difficulties, while retaining the merits of classical test theory...
| Publicado en: | Educational & Psychological Measurement Vol. 79; no. 5; pp. 988 - 1009 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Sage Publications Inc.
Oct2019
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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=138314060&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 138314060 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: Oct2019 vid: 79 iid: 5 pid: 344 pub: Sage Publications Inc. artinfo: ui: 138314060 10.1177/0013164419841428 ppf: 988 ppct: 21 formats: tig: atl: Developing Multistage Tests Using D -Scoring Method. aug: au: Han, Kyung (Chris) T. Dimitrov, Dimiter M. Al-Mashary, Faisal affil: Graduate Management Admission Council®, Reston, VA, USA National Center for Assessment, Saudi Arabia and George Mason University, Fairfax, VA, USA National Center for Assessment, Education Evaluation Commission, Riyadh, Saudi Arabia su: Educational tests & measurements Psychological tests Scaling (Social sciences) Calibration Computer adaptive testing Test design Experimental design High performance computing Information retrieval Probability theory Regression analysis Sample size (Statistics) Statistical models sug: subj: Educational tests & measurements Psychological tests Scaling (Social sciences) Calibration Computer adaptive testing Test design Experimental design High performance computing Information retrieval Probability theory Regression analysis Sample size (Statistics) Statistical models keyword: item calibration multistage testing scoring simulation test construction item calibration multistage testing scoring simulation test construction ab: The D -scoring method for scoring and equating tests with binary items proposed by Dimitrov offers some of the advantages of item response theory, such as item-level difficulty information and score computation that reflects the item difficulties, while retaining the merits of classical test theory such as the simplicity of number correct score computation and relaxed requirements for model sample sizes. Because of its unique combination of those merits, the D -scoring method has seen quick adoption in the educational and psychological measurement field. Because item-level difficulty information is available with the D -scoring method and item difficulties are reflected in test scores, it conceptually makes sense to use the D -scoring method with adaptive test designs such as multistage testing (MST). In this study, we developed and compared several versions of the MST mechanism using the D -scoring approach and also proposed and implemented a new framework for conducting MST simulation under the D -scoring method. Our findings suggest that the score recovery performance under MST with D -scoring was promising, as it retained score comparability across different MST paths. We found that MST using the D -scoring method can achieve improvements in measurement precision and efficiency over linear-based tests that use D -scoring method. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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