Literaturnachweis - Detailanzeige
| Autor/in | Uglanova, Irina |
|---|---|
| Titel | Model Criticism of Bayesian Networks in Educational Assessment: A Systematic Review |
| Quelle | In: Practical Assessment, Research & Evaluation, 26 (2021), Artikel 22 (18 Seiten)Infoseite zur Zeitschrift
PDF als Volltext kostenfreie Datei |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1531-7714 |
| Schlagwörter | Bayesian Statistics; Educational Assessment; Psychometrics; Criticism; Research Problems; Evaluation Methods; State of the Art Reviews; Prediction; Accuracy; Measurement; Models |
| Abstract | There is increased use of Bayesian networks (BN) in educational assessment. In psychometrics, BN serves as a measurement model with high flexibility, suitable to model educational assessment data with a complex structure. BN is a novel psychometric approach and not all aspects of its application are well-known. The article aims to provide the systematization of BN model criticism methods in the field of educational assessment. The review revealed the diversity of model criticism methods and the shortages of specific research. The results demonstrate the state-of-the-art and help to navigate practitioners and researchers. (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 |
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