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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
Mueller, Christoph Emanuel; Gaus, Hansjoerg; Rech, Joerg – American Journal of Evaluation, 2014
This article proposes an innovative approach to estimating the counterfactual without the necessity of generating information from either a control group or a before-measure. Building on the idea that program participants are capable of estimating the hypothetical state they would be in had they not participated, the basics of the Roy-Rubin model…
Descriptors: Research Design, Program Evaluation, Research Methodology, Models
Jackle, Robert; Himmler, Oliver – Journal of Human Resources, 2010
This paper complements previous studies on the effects of health on wages by addressing the problems of unobserved heterogeneity, sample selection, and endogeneity in one comprehensive framework. Using data from the German Socio-Economic Panel (GSOEP), we find the health variable to suffer from measurement error and a number of tests provide…
Descriptors: Wages, Measurement, Error of Measurement, Computation
Fink, Bernhard; Brookes, Helen; Neave, Nick; Manning, John T.; Geary, David C. – Brain and Cognition, 2006
The ratio between the 2nd and 4th fingers (2D:4D)--a potential proxy for prenatal testosterone (T) exposure--shows a sex difference, with males usually having lower mean values; the latter potentially indicates higher prenatal T exposure. We studied relations between 2D:4D and competencies in the domains of counting, number knowledge, and…
Descriptors: Prenatal Influences, Mathematics Skills, Gender Differences, Computation

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