This chapter demonstrates how the Ising model can be estimated. It shows that the Ising
model is equivalent to, or closely related to, prominent modeling techniques in …

In recent years, network models have been proposed as an alternative representation of
psychometric constructs such as depression. In such models, the covariance between …

In this paper we elaborate on the potential of the lmer function from the lme4 package in R
for item response (IRT) modeling. In line with the package, an IRT framework is described …

Item response theory models (IRT) are increasingly becoming established in social science
research, particularly in the analysis of performance or attitudinal data in psychology …

Psychometric modeling has become a frequently used statistical tool in research on
scientific reasoning. We review psychometric modeling practices in this field, including …

The focus of this book is on models for contingency table analysis. It deals mainly with log-
linear models and special models for ordinal data (log-linear or nonlinear). Special models …

This research examines empathic dispositions of 178 pre-service teachers. We analyzed
open ended responses to animated narrative vignette simulations (ANVs), which served as …

Estimating the structure of Ising networks is a notoriously difficult problem. We demonstrate
that using a latent variable representation of the Ising network, we can employ a full-data …

The Rasch model is one of the most prominent item response models. In this article, different
item parameter estimation methods for the Rasch model are systematically compared …

This paper presents an open source tool for computing extended Rasch models. It is
realized in R (R Development Core Team, 2006) and available as package eRm. In addition …