Minimax d-optimal designs for item response theory models

被引：0
|
作者：
Martijn P. F. Berger
C. Y. Joy King
Weng Kee Wong
机构：
[1] Maastricht University,Department of Methodology and Statistics
[2] UCLA,Department of Biostatistics
来源：
Psychometrika | 2000年 / 65卷
关键词：
optimal design; IRT models; minimax; sequential designs;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Various different item response theory (IRT) models can be used in educational and psychological measurement to analyze test data. One of the major drawbacks of these models is that efficient parameter estimation can only be achieved with very large data sets. Therefore, it is often worthwhile to search for designs of the test data that in some way will optimize the parameter estimates. The results from the statistical theory on optimal design can be applied for efficient estimation of the parameters.
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页码：377 / 390
页数：13
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