Optimal Designs for Linear Logistic Test Models
Ulrike Graßhoff, Heinz Holling, Rainer Schwabe · Contributions to statistics · 2010
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. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.