96 citations · 239 across the 22 of their papers we have counts for
25 papers
A General Framework for Random Effects Models for Binary, Ordinal, Count Type and Continuous Dependent Variables Including Variable Selection
Gerhard Tutz
A general random effects model is proposed that allows for continuous as well as discrete distributions of the responses. Responses can be unrestricted continuous, bounded continuo…
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…
Latent Trait Item Response Models for Continuous Responses
Gerhard Tutz, Pascal Jordan
A general framework of latent trait item response models for continuous responses is given. In contrast to classical test theory models, which traditionally distinguish between tru…
Probability and Non-Probability Samples: Improving Regression Modeling by Using Data from Different Sources
Gerhard Tutz
Non-probability sampling, for example in the form of online panels, has become a fast and cheap method to collect data. While reliable inference tools are available for classical p…
Item Response Thresholds Models
Gerhard Tutz
A comprehensive class of models is proposed that can be used for continuous, binary, ordered categorical and count type responses. The difficulty of items is described by difficult…