Measuring Student Ability, Classifying Schools, and Detecting Item Bias at School Level, Based on Student-Level Dichotomous Items
| Autor: | Marcel A. Croon, Margot Bennink, Jeroen K. Vermunt, Jos Keuning |
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| Přispěvatelé: | Department of Methodology and Statistics |
| Rok vydání: | 2014 |
| Předmět: |
Educational measurement
school-level processes Item bias education Multilevel model educational tests item bias computer.software_genre Education Student assessment Educational assessment Trends in International Mathematics and Science Study Item response theory ComputingMilieux_COMPUTERSANDEDUCATION Mathematics education multilevel analysis School level latent variable framework Psychology dichotomous items computer Social Sciences (miscellaneous) |
| Zdroj: | Journal of Educational and Behavioral Statistics, 39(3), 180-202. Sage Publications, Inc. |
| ISSN: | 1935-1054 1076-9986 |
| DOI: | 10.3102/1076998614529158 |
| Popis: | In educational measurement, responses of students on items are used not only to measure the ability of students, but also to evaluate and compare the performance of schools. Analysis should ideally account for the multilevel structure of the data, and school-level processes not related to ability, such as working climate and administration conditions, need to be separated from student and school ability. However, in educational studies such as Programme for International Student Assessment, Trends in International Mathematics and Science Study, and COOL5–18, this is hardly ever done. This study presents a model that simultaneously accounts for the nested structure, controls student ability for processes at school level, classifies schools to monitor and compare schools, and tests for school-level item bias. |
| Databáze: | OpenAIRE |
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