1 citations · 1 across the 5 of their papers we have counts for
4 papers
Unidimensionality in Rasch Models: Efficient Item Selection and Hierarchical Clustering Methods Based on Marginal Estimates
Gerhard Tutz
A strong tool for the selection of items that share a common trait from a set of given items is proposed. The selection method is based on marginal estimates and exploits that the…
Invariance of Comparisons: Separation of Item and Person Parameters beyond Rasch Models
Gerhard Tutz
The Rasch model is the most prominent member of the class of latent trait models that are in common use. The main reason is that it can be considered as a measurement model that al…
Classification of Functional Data with k-Nearest-Neighbor Ensembles by Fitting Constrained Multinomial Logit Models
Karen Fuchs, Wolfgang Pößnecker, Gerhard Tutz
During the last decades, many methods for the analysis of functional data including classification methods have been developed. Nonetheless, there are issues that have not been adr…
Item-Focussed Trees for the Detection of Differential Item Functioning in Partial Credit Models
Stella Bollmann, Moritz Berger, Gerhard Tutz
Various methods to detect differential item functioning (DIF) in item response models are available. However, most of the methods assume that the responses are binary, for ordered…