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von Eye, Alexander; DeShon, Richard P. – International Journal of Behavioral Development, 2012
In this rejoinder, von Eye and DeShon discuss the decision strategies proposed in their original article ("Directional Dependence in Developmental Research," this issue), as well as the ones proposed by the authors of the commentary (Pornprasertmanit and Little, "Determining Directional Dependency in Causal Associations," this issue). In addition,…
Descriptors: Human Body, Decision Making, Simulation, Probability
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Vermunt, Jeroen K. – Psychological Methods, 2011
Steinley and Brusco (2011) presented the results of a huge simulation study aimed at evaluating cluster recovery of mixture model clustering (MMC) both for the situation where the number of clusters is known and is unknown. They derived rather strong conclusions on the basis of this study, especially with regard to the good performance of…
Descriptors: Multivariate Analysis, Simulation, Research, Mathematics
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Groth, Randall E. – Journal for Research in Mathematics Education, 2007
The purpose of this article is to sketch a hypothetical descriptive framework of statistical knowledge for teaching. Because statistics is a discipline in its own right rather than a branch of mathematics, the knowledge needed to teach statistics is likely to differ from the knowledge needed to teach mathematics. Doing statistics involves many…
Descriptors: Mathematics Education, Statistics, Mathematics Instruction, Teacher Education
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Smeets, Jeroen B. J.; Louw, Stefan – Journal of Experimental Psychology: Human Perception and Performance, 2007
It has been proposed that it is possible to decompose changes in variability of human motor behavior into 3 independent components: covariation, task tolerance, and stochastic noise. The authors simulate learning to throw accurately and show that for this task the proposed analysis does not give an unambiguous answer to the question of what the 3…
Descriptors: Motor Development, Psychomotor Skills, Simulation, Statistical Analysis
Cryer, Patricia – Simulation/Games for Learning, 1988
Uses game theory to help practitioners make decisions about educational games, simulations, or workshops whose outcomes depend to some extent on chance. Highlights include principles for making decisions involving risk; elementary laws of probability; utility theory; and principles for making decisions involving uncertainty. (eight references)…
Descriptors: Decision Making, Educational Games, Game Theory, Probability