Longitudinal Multivariate Psychology (multivariate Applications Series)

This volume presents a collection of chapters focused on the study of multivariate change. As people develop and change, multivariate measurement of that change and analysis of those measures can illuminate the regularities in the trajectories of individual development, as well as time-dependent changes in population averages. As longitudinal data have recently become much more prevalent in psychology and the social sciences, models of change have become increasingly important. This collection focuses on methodological, statistical, and modeling aspects of multivariate change and applications of longitudinal models to the study of psychological processes. The volume is divided into three major sections: Extension of latent change models, Measurement and testing issues in longitudinal modeling, and Novel applications of multivariate longitudinal methodology. It is intended for advanced students and researchers interested in learning about state-of-the-art techniques for longitudinal data analysis, as well as understanding the history and development of such techniques. Offers coverage to multidimensional item response theory (MIRT), an area of psychometrics. This book describes the commonly used MIRT models and the important methods needed for their practical application, including ways to determine the number of dimensions required to adequately model data and procedures for estimating model parameters First thorough treatment of multidimensional item response theory Description of methods is supported by numerous practical examples Describes procedures for multidimensional computerized adaptive testing This book is a description of the theoretical foundations of multidimensional item response theory and the methodologies for applying multidimensional item response theory to practical testing problems Edited By Emilio Ferrer, Steven M. Boker, And Kevin J. Grimm. Includes Bibliographical References And Index.