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Autor/inn/en | Hsu, Chia-Ling; Chen, Yi-Hsin; Wu, Yi-Jhen |
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Titel | Using a Bayesian Estimation to Examine Attribute Hierarchies of the 2007 TIMSS Mathematics Test: A Demonstration Using R Packages |
Quelle | In: Practical Assessment, Research & Evaluation, 28 (2023) 11, Artikel 11 (15 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
Schlagwörter | Bayesian Statistics; Computation; International Assessment; Achievement Tests; Mathematics Achievement; Mathematics Tests; Classification; Grade 8; Computer Software; Models; Trends in International Mathematics and Science Study Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Classification system; Klassifikation; Klassifikationssystem; School year 08; 8. Schuljahr; Schuljahr 08; Analogiemodell |
Abstract | Correct specifications of hierarchical attribute structures in analyses using diagnostic classification models (DCMs) are pivotal because misspecifications can lead to biased parameter estimations and inaccurate classification profiles. This research is aimed to demonstrate DCM analyses with various hierarchical attribute structures via Bayesian estimation using freely available R packages, including CDM and R2"jags." We illustrated a step-by-step procedure in R with an eighth-grade mathematics test from the 2007 Trends in International Mathematics and Science Study (TIMSS). (As Provided). |
Anmerkungen | Center for Educational Assessment. 813 North Pleasant Street, Amherst, MA 01002. e-mail: pare@umass.edu; Tel: 413-577-2180; Web site: https://scholarworks.umass.edu/pare |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |