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ERIC Number: ED246083
Record Type: RIE
Publication Date: 1984-Apr
Pages: 15
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: N/A
Choosing the Best Treatment among Different Treatment-Criterion Combinations: The Classification Problem in Educational Testing.
van der Linden, Wim J.
The classification problem in educational testing is a decision problem. One must assign subjects to one of several available treatments on the basis of test scores, where the success of each treatment is measured by a different criterion. Examples of classification decisions include individualized instruction, counseling, and clinical settings. Classification problems have generally been resolved using linear regression techniques. The author proposes replacing these techniques with an empirical Bayesian decision analysis. The case of classification with a threshold utility function is analyzed, and a method for finding optimal assignment rules is described. The illustration is restricted to assignment on the basis of a single test score without quota restrictions. The purpose of the paper is to contrast the differences between the traditional linear regression and a Bayesian approach to the classification problem. (Author/DWH)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: Researchers
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Decision Theory
Note: Paper presented at the Annual Meeting of the American Educational Research Association (68th, New Orleans, LA, April 23-27, 1984).