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Direct linkKaplan, David; Chen, Jianshen; Lyu, Weicong; Yavuz, Sinan – Large-scale Assessments in Education, 2023
The purpose of this paper is to extend and evaluate methods of "Bayesian historical borrowing" applied to longitudinal data with a focus on parameter recovery and predictive performance. Bayesian historical borrowing allows researchers to utilize information from previous data sources and to adjust the extent of borrowing based on the…
Descriptors: Bayesian Statistics, Longitudinal Studies, Children, Surveys
Heine, Jörg-Henrik; Robitzsch, Alexander – Large-scale Assessments in Education, 2022
Research Question: This paper examines the overarching question of to what extent different analytic choices may influence the inference about country-specific cross-sectional and trend estimates in international large-scale assessments. We take data from the assessment of PISA mathematics proficiency from the four rounds from 2003 to 2012 as a…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
Kaplan, David; Su, Dan – Large-scale Assessments in Education, 2018
Background: This paper extends a recent study by Kaplan and Su ("J Educ Behav Stat" 41: 51-80, 2016) examining the problem of matrix sampling of context questionnaire scales with respect to the generation of plausible values of cognitive outcomes in large-scale assessments. Methods: Following Weirich et al. ("Nested multiple…
Descriptors: Questionnaires, Measurement, Measurement Techniques, Evaluation Methods
