Residual analysis (e.g. Hambleton & Swaminathan, Item response theory: principles and applications, Kluwer Academic, Boston, <CitationRef CitationID="CR20">1985</CitationRef>; Hambleton, Swaminathan, & Rogers, Fundamentals of item response theory, Sage, Newbury Park, <CitationRef CitationID="CR21">1991</CitationRef>) is a popular method to assess fit of item response theory (IRT)...</citationref></citationref>

This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response...

Generalized residuals are a tool employed in the analysis of contingency tables to examine possible sources of model error. They have typically been applied to log-linear models and to latent-class models. A general approach to generalized residuals is developed for a very general class of...

Purpose: The purpose of this paper is to propose a new brand association density metric and evaluate its performance in terms of correlations with recall, consideration, brand equity and market share and to compare different data collection methodologies to identify brand associations....