Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. Because of its importance, a recent conference was held to mark the centennial of the publication of Charles Spearman's seminal 1904 article which introduced the major elements of this invaluable statistical tool. This new book evolved from that conference. It provides a retrospective look at major issues and developments as well as a prospective...

Factor analysis is one of the success stories of statistics in the social sciences. The reason for its wide appeal is that it provides a way to investigate latent variables, the fundamental traits and concepts in the study of individual differences. Because of its importance, a recent conference was held to mark the centennial of the publication of Charles Spearman's seminal 1904 article which introduced the major elements of this invaluable statistical tool. This new book evolved from that conference. It provides a retrospective look at major issues and developments as well as a prospective...

This book presents the latest theory and application of latent variable models (LVMs). With contributions from the most prominent researchers in the field, it addresses the use of the latest techniques such as factor analysis, structural equation modeling, and latent growth curve, multilevel, and item response theory models as well as different types of data structures and applications. Part 1 focuses on complexities which extend standard LVMs and Part 2 focuses on drawing real-world meaning from results obtained in LVM. Intended for researchers and students interested in the use of LVMs,...

This book presents the latest theory and application of latent variable models (LVMs). With contributions from the most prominent researchers in the field, it addresses the use of the latest techniques such as factor analysis, structural equation modeling, and latent growth curve, multilevel, and item response theory models as well as different types of data structures and applications. Part 1 focuses on complexities which extend standard LVMs and Part 2 focuses on drawing real-world meaning from results obtained in LVM. Intended for researchers and students interested in the use of LVMs,...