Optimal Designs for Linear Logistic Test Models
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.
KeywordsItem Response Theory Item Parameter Item Response Theory Model Adaptive Testing Person Parameter
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This research was supported by the Deutsche Forschungsgemeinschaft (DFG) under grant HO 1286/6-1.
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