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240126s1990 xx |||||o 00| ||eng c |
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|a 10.2307/1165091
|2 doi
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|a (DE-627)JST047306238
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|a (JST)1165091
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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|a Vos, Hans J.
|e verfasserin
|4 aut
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|a Simultaneous Optimization of Decisions Using a Linear Utility Function
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|c 1990
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|a Text
|b txt
|2 rdacontent
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|a Computermedien
|b c
|2 rdamedia
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|a The purpose of this article is to simultaneously optimize decision rules for combinations of elementary decisions. With this approach, rules are found that make more efficient use of the data than could be achieved by optimizing these decisions separately. The framework for the approach is derived from Bayesian decision theory. To illustrate the approach, two elementary decisions (selection and mastery decisions) are combined into a simple decision network. A linear utility structure is assumed. Decision rules are derived both for quota-free and quota-restricted selection-mastery decisions in case of several subpopulations. An empirical example of instructional decision making in an individual study system concludes the article.
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|a Copyright 1990 The American Educational Research Association and the American Statistical Association
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|a Decision theory
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|a Culture-fair selection
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|a Linear utility
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|a Economics
|x Microeconomics
|x Economic utility
|x Utility functions
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|a Economics
|x Microeconomics
|x Economic utility
|x Expected utility
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|a Education
|x Formal education
|x Pedagogy
|x Educational methods
|x Educational testing
|x Educational tests
|x Achievement tests
|x Mastery tests
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|a Information science
|x Information analysis
|x Data analysis
|x Regression analysis
|x Linear regression
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|a Mathematics
|x Pure mathematics
|x Algebra
|x Coefficients
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|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Decision theory
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650 |
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4 |
|a Education
|x Formal education
|x Pedagogy
|x Educational methods
|x Educational testing
|x Test scores
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|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
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650 |
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4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Descriptive statistics
|x Statistical distributions
|x Distribution functions
|x Probability distributions
|x Gaussian distributions
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650 |
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|a Mathematics
|x Mathematical values
|x Mathematical variables
|x Mathematical independent variables
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|a research-article
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|i Enthalten in
|t Journal of Educational Statistics
|d American Educational Research Association and American Statistical Association, 1976
|g 15(1990), 4, Seite 309-340
|w (DE-627)482303859
|w (DE-600)2181666-9
|x 03629791
|7 nnns
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|g volume:15
|g year:1990
|g number:4
|g pages:309-340
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|u https://www.jstor.org/stable/1165091
|3 Volltext
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|u https://doi.org/10.2307/1165091
|3 Volltext
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|d 15
|j 1990
|e 4
|h 309-340
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