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Linking Errors between Two Populations and Tests: A Case Study in International Surveys in Education
Hastedt, Dirk; Desa, Deana – Practical Assessment, Research & Evaluation, 2015
This simulation study was prompted by the current increased interest in linking national studies to international large-scale assessments (ILSAs) such as IEA's TIMSS, IEA's PIRLS, and OECD's PISA. Linkage in this scenario is achieved by including items from the international assessments in the national assessments on the premise that the average…
Descriptors: Case Studies, Simulation, International Programs, Testing Programs
Si, Yajuan; Reiter, Jerome P. – Journal of Educational and Behavioral Statistics, 2013
In many surveys, the data comprise a large number of categorical variables that suffer from item nonresponse. Standard methods for multiple imputation, like log-linear models or sequential regression imputation, can fail to capture complex dependencies and can be difficult to implement effectively in high dimensions. We present a fully Bayesian,…
Descriptors: Nonparametric Statistics, Bayesian Statistics, Measurement, Evaluation Methods
Sachse, Karoline A.; Roppelt, Alexander; Haag, Nicole – Journal of Educational Measurement, 2016
Trend estimation in international comparative large-scale assessments relies on measurement invariance between countries. However, cross-national differential item functioning (DIF) has been repeatedly documented. We ran a simulation study using national item parameters, which required trends to be computed separately for each country, to compare…
Descriptors: Comparative Analysis, Measurement, Test Bias, Simulation