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Van de Vijver, Fons J. R.; Avvisati, Francesco; Davidov, Eldad; Eid, Michael; Fox, Jean-Paul; Le Donné, Noémie; Lek, Kimberley; Meuleman, Bart; Paccagnella, Marco; van de Schoot, Rens – OECD Publishing, 2019
Large-scale surveys such as the Programme for International Student Assessment (PISA), the Teaching and Learning International Survey (TALIS), and the Programme for the International Assessment of Adult Competences (PIAAC) use advanced statistical models to estimate scores of latent traits from multiple observed responses. The comparison of such…
Descriptors: Surveys, Factor Analysis, Bayesian Statistics, Statistical Analysis
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

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