Optimal Designs for Linear Logistic Test Models

被引：2

作者：

Grasshoff, Ulrike ^{[1
]}

Holling, Heinz ^{[2
]}

Schwabe, Rainer ^{[1
]}

机构：

[1] Otto von Guericke Univ, Inst Math Stochast, PF 4120, D-39016 Magdeburg, Germany

[2] Westfalische Wilhelms Univ Munster, Psychol Inst, D-48149 Munster, Germany

来源：

MODA 9 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS | 2010年

关键词：

D O I：

10.1007/978-3-7908-2410-0_13

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

An important class of models within item response theory are Linear Logistic Test Models (LLTM). These models provide a means for rule-based item generation in educational and psychological testing based upon cognitive theories. After a short introduction into the LLTM, optimal designs for the LLTM will be developed with respect to the item calibration step assuming that persons' abilities are known. Therefore, the LLTM is embedded in a particular generalized linear model. Finally, future developments are outlined.

引用

页码：97 / 104

页数：8

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