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An Extension to the Constructivist Coding Hypothesis as a Learning Model for Selective Feedback when the Base Rate Is High
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Ghaffarzadegan, Navid; Stewart, Thomas R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
Elwin, Juslin, Olsson, and Enkvist (2007) and Henriksson, Elwin, and Juslin (2010) offered the constructivist coding hypothesis to describe how people code the outcomes of their decisions when availability of feedback is conditional on the decision. They provided empirical evidence only for the 0.5 base rate condition. This commentary argues that…
Descriptors: Decision Making, Feedback (Response), Constructivism (Learning), Hypothesis Testing
Getting the Most from Classroom Simulations: Strategies for Maximizing Learning Outcomes
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Wedig, Timothy – PS: Political Science and Politics, 2010
Classroom simulations can make a significant contribution to learning outcomes in political science courses, provided that they are firmly linked to course content and learning objectives. This article offers a step-by-step decision framework for instructors seeking to use simulations as a core component of their courses, including selection of an…
Descriptors: Simulation, Political Science, Selection, Teacher Role
Taylor Approximations to Logistic IRT Models and Their Use in Adaptive Testing.
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Veerkamp, Wim J. J. – Journal of Educational and Behavioral Statistics, 2000
Showed how Taylor approximation can be used to generate a linear approximation to a logistic item characteristic curve and a linear ability estimator. Demonstrated how, for a specific simulation, this could result in the special case of a Robbins-Monro item selection procedure for adaptive testing. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Selection
Moving the Cut Score on Rasch Scored Tests.
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Miller, G. Edward; Beretvas, S. Natasha – Journal of Applied Measurement, 2002
Presents empirically based item selection guidelines for moving the cut score on equated tests consisting of "n" dichotomous items calibrated assuming the Rasch model. Derivations of lemmas that underlie the guidelines are provided as well as a simulated example. (SLD)
Descriptors: Cutting Scores, Equated Scores, Item Response Theory, Selection
Alpha-Stratified Multistage Computerized Adaptive Testing.
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Chang, Hua-Hua; Ying, Zhiliang – Applied Psychological Measurement, 1999
Proposes a new multistage adaptive-testing procedure that factors the discrimination parameter (alpha) into the item-selection process. Simulation studies indicate that the new strategy results in tests that are well-balanced, with respect to item exposure, and efficient. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Selection
Decisive Factors in Systems Modeling and Computer Simulation.
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Voland, Gerard; Voland, Margaret J. – CoED, 1983
Discusses factors which determine whether there is a need for simulation and objectives associated with a simulation effort. Also discusses characteristics of existing software packages which determine if instructors should use the software or develop their own software for the particular problem under analysis. (JN)
Descriptors: Computer Programs, Computer Simulation, Educational Objectives, Engineering Education
A Study of Imputation Algorithms. Working Paper Series.
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Hu, Ming-xiu; Salvucci, Sameena – 2001
Many imputation techniques and imputation software packages have been developed over the years to deal with missing data. Different methods may work well under different circumstances, and it is advisable to conduct a sensitivity analysis when choosing an imputation method for a particular survey. This study reviewed about 30 imputation methods…
Descriptors: Algorithms, Computer Simulation, Data Analysis, Longitudinal Studies