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Carsey, Thomas M.; Harden, Jeffrey J. – Journal of Political Science Education, 2015
Graduate students in political science come to the discipline interested in exploring important political questions, such as "What causes war?" or "What policies promote economic growth?" However, they typically do not arrive prepared to address those questions using quantitative methods. Graduate methods instructors must…
Descriptors: Monte Carlo Methods, Graduate Study, Methods Courses, Political Science
Marron, Megan M.; Wahed, Abdus S. – Journal of Statistics Education, 2016
Missing data mechanisms, methods of handling missing data, and the potential impact of missing data on study results are usually not taught until graduate school. However, the appropriate handling of missing data is fundamental to biomedical research and should be introduced earlier on in a student's education. The Summer Institute for Training in…
Descriptors: Summer Programs, Undergraduate Students, Data, Statistics
McKinley, Robert L.; Schaeffer, Gary A. – 1989
A study was conducted to evaluate the feasibility of using item response theory (IRT) equating to reduce test form overlap of the Graduate Record Examinations (GRE) Subject Test in Mathematics. Monte Carlo methods were employed to compare double-part equating with 20-item common item blocks to triple-part equating with 10-item common item blocks.…
Descriptors: College Entrance Examinations, Comparative Analysis, Equated Scores, Graduate Study
Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1996
A stochastic multidimensional unfolding (MDU) procedure is presented to represent individual differences in phased or sequential decision processes spatially. A Monte Carlo analysis demonstrates estimation proficiency and the appropriateness of the proposed model selection heuristic, and an application to capture awareness, consideration, and…
Descriptors: Cognitive Processes, Consumer Economics, Decision Making, Estimation (Mathematics)

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