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Schmidt, Susanne; Zlatkin-Troitschanskaia, Olga; Fox, Jean-Paul – Journal of Educational Measurement, 2016
Longitudinal research in higher education faces several challenges. Appropriate methods of analyzing competence growth of students are needed to deal with those challenges and thereby obtain valid results. In this article, a pretest-posttest-posttest multivariate multilevel IRT model for repeated measures is introduced which is designed to address…
Descriptors: Foreign Countries, Pretests Posttests, Hierarchical Linear Modeling, Item Response Theory
Avetisyan, Marianna; Fox, Jean-Paul – Psicologica: International Journal of Methodology and Experimental Psychology, 2012
In survey sampling the randomized response (RR) technique can be used to obtain truthful answers to sensitive questions. Although the individual answers are masked due to the RR technique, individual (sensitive) response rates can be estimated when observing multivariate response data. The beta-binomial model for binary RR data will be generalized…
Descriptors: Computation, Sample Size, Responses, Multivariate Analysis
van der Linden, Wim J.; Klein Entink, Rinke H.; Fox, Jean-Paul – Applied Psychological Measurement, 2010
Hierarchical modeling of responses and response times on test items facilitates the use of response times as collateral information in the estimation of the response parameters. In addition to the regular information in the response data, two sources of collateral information are identified: (a) the joint information in the responses and the…
Descriptors: Item Response Theory, Reaction Time, Computation, Bayesian Statistics