Measuring Student Ability, Classifying Schools, and Detecting Item Bias at School Level, Based on Student-Level Dichotomous Items. (June 2014)

• Record Type: Journal Article
• Authors: Bennink, Margot; Croon, Marcel A.; Keuning, Jos; Vermunt, Jeroen K.
• Is Part Of: Journal of educational and behavioral statistics. Volume 39:Number 3(2014)
• Page Start: 180
• Page End: 202
• Publication Date: 2014-06
• Subjects: dichotomous items -- educational tests -- item bias -- latent variable framework -- multilevel analysis -- school-level processes; Educational statistics -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 370.2
• DOI: 10.3102/1076998614529158
• Languages: English
• ISSNs: 1076-9986

Abstract

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 COOL 5–18, 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.