Publisher Summary This chapter describes the common forms of Multidimensional Item
Response Theory (MIRT) models and the mathematical expressions for MIRT models. It also …

Item response theory (IRT) is moving to the forefront of methodologies used to develop,
evaluate, and score clinical measures. Funding agencies and test developers are routinely …

This step-by-step guide is written for R and latent variable model (LVM) novices. Utilizing a
path model approach and focusing on the lavaan package, this book is designed to help …

Item response theory (IRT) is a latent variable modeling approach used to minimize bias and
optimize the measurement power of educational and psychological tests and other …

Statistical methods designed for categorical data were used to perform confirmatory factor
analyses and item response theory (IRT) analyses of the Fear of Negative Evaluation scale …

Many contemporary tests include constructed-response items, for which the item scores are
ordered categorical ratings provided by judges. When the judges' ratings use only two …

Abstract A Metropolis–Hastings Robbins–Monro (MH-RM) algorithm for high-dimensional
maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of …

Item response theory (IRT) is widely used in education and psychology and is expanding its
applications to other social science areas, medical research, and business as well. Using R …

Recent decades have witnessed the rapid growth of educational data mining (EDM), which
aims at automatically extracting valuable information from large repositories of data …

Generalized linear models are a general class of regressionlike models for continuous and
categorical response variables. Signal detection models can be formulated as a subclass of …