This paper reviews recent research in the Netherlands on the application of decision theory to test-based decision making about personnel selection and student placement. The review is based on an earlier model proposed for the classification of decision problems, and emphasizes an empirical Bayesian framework. Classification decisions with threshold utility are discussed to provide an example of the application of Bayesian theory to test-based decision making. Test results from the 1981 administration of the Eindtoets Basisonderwijs are analyzed with respect to the type of secondary education chosen by Dutch students at the end of primary education: lower vocational education, lower general education, or middle general education
This paper addresses the problem of how to place students in a sequence of hierarchically related co...
This paper considers applications of decision theory to the problem of instructional decision-making...
The purpose of this paper is to simultaneously optimize decision rules for combinations of elementar...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The classification problem consists of assigning subjects to one of several available treatments on ...
An approach to simultaneous optimization of assignments of subjects to treatments followed by an end...
The purpose of this paper is to consider some applications of Bayesian decision theory to intelligen...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
The classification problem consists of assigning subjects to one of several available treatments on ...
The goal of this study was to develop four statistical models and to apply Bayesian decision theory ...
We address the problem of selecting the best of a set of units based on a criterion variable, when i...
A model for simultaneous optimization of combinations of test-based decisions in psychology and educ...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
This paper addresses the problem of how to place students in a sequence of hierarchically related co...
This paper addresses the problem of how to place students in a sequence of hierarchically related co...
This paper considers applications of decision theory to the problem of instructional decision-making...
The purpose of this paper is to simultaneously optimize decision rules for combinations of elementar...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Fo...
The classification problem consists of assigning subjects to one of several available treatments on ...
An approach to simultaneous optimization of assignments of subjects to treatments followed by an end...
The purpose of this paper is to consider some applications of Bayesian decision theory to intelligen...
This paper presents some Bayesian theories of simultaneous optimization of decision rules for test-b...
The classification problem consists of assigning subjects to one of several available treatments on ...
The goal of this study was to develop four statistical models and to apply Bayesian decision theory ...
We address the problem of selecting the best of a set of units based on a criterion variable, when i...
A model for simultaneous optimization of combinations of test-based decisions in psychology and educ...
Bayesian decision analysis supports principled decision making in complex domains. This textbook tak...
This paper addresses the problem of how to place students in a sequence of hierarchically related co...
This paper addresses the problem of how to place students in a sequence of hierarchically related co...
This paper considers applications of decision theory to the problem of instructional decision-making...
The purpose of this paper is to simultaneously optimize decision rules for combinations of elementar...