Special Issue Psychology Science Quarterly (Pchol Sci Q)
The Use of LLTM (Linear Logistic Test Model): Cognitive Modelling and Item-Technology Analyses
Lengerich, (PresseBox) - This special issue attempts a revival of the Rasch model-based LLTM (Linear Logistic Test Model, originally established by Fischer, 1973). In the heading chapter Klaus D. Kubinger recalls all features which this model offers, from constructing tests using item generating rules to measuring item administration effects. Susan E. Embretson and Robert C. Daniel realize the former approach illustrating how cognitive complexity might be quantified by the LLTM, using mathematical problem solving items. Similarily, Philipp Sonnleitner tries to evaluate an item-generating system for a reading comprehension test. Heinz Holling, Helen Blank, Karoline Kuchenbäcker, and Jörg-Tobis Kuhn do analogous with statistical word problems. Julia Hahne pursues the latter approach as she analyzes position effects within a reasoning test by applying the LLTM. Christine Hohensinn, Klaus D. Kubinger, Manual Reif, Stefana Holocher-Ertl, Lale Khorramdel, and Martina Frebort do the same with regard to a Maths test within large-scale assessment. Yiyu Xie and Mark Wilson also carry out the latter approach and analyze several teachers' rating effects. Finally, Renato Miceli, Michele Settanni, and Guilio Vidott illustrate how to use the LLTM for measuring change by evaluating a specific training program for students.