For analyzing item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear...

Modeling the processes underlying social network and attribute change allows researchers to better identify and understand dependencies present amongactors — people, places, or things. The connections that exist among these actors change over time, depend on the presence or absence of other...

Given the rapid advancement of computer technology, the importance of administeringadaptive tests with polytomous items is in great need. With regard to the applicability ofadaptive testing using polytomous IRT models, adaptive testing can use polytomous items of either rating scales, or in some...

The Rasch family of models considered in this paper includes models for polytomous items and multiple correlated latent traits, as well as for dichotomous items and a single latent variable. An R package is described that computes estimates of parameters and robust standard errors of a class of...

The methodology described here is designed for social networks and is based on the research of Holland and Leinhardt, Wasserman and Iacobucci, and Many others. Holland and Leinhardt termed the simplest model from their family of log-linear models p1. The models presented in this article are not...

Survey items with multiple response categories and multiple-choice test questions are ubiquitous in psychological and educational research. We illustrate the use of log-multiplicative association (LMA) models that are extensions of the well-known multinomial logistic regression model for...