This comprehensive resource reviews structural equation modeling (SEM) strategies for
longitudinal data to help readers see which modeling options are available for which …

Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents
a thorough and sophisticated treatment of the foundations of structural equation modeling …

In this welcome addition to the personal libraries of quantitative and applied researchers
alike, Rick Hoyle brings considerable editorial skill to bear on the 40-chapter Handbook of …

Abstract structural equation modeling (SEM) is a comprehensive statistical approach to
testing hypotheses about relations among observed and latent variables/outline the basic …

Structural equation modeling (SEM) is a methodology for representing, estimating, and
testing a network of relationships between variables (measured variables and latent …

Significantly revised, the fifth edition of the most complete, accessible text now covers all
three approaches to structural equation modeling (SEM)--covariance-based SEM …

Publisher Summary Structural equation modeling (SEM) is a flexible analytic tool that can
combine regression, correlation, and factor analyses simultaneously to address important …

Many of the most important concepts or constructs in the social and behavioral sciences are
abstract. These include attributes of people that figure prominently in formal theories about …

Major technological advances incorporated into structural equation modeling (SEM)
computer programs now make it possible for practitioners who are basically unfamiliar with …

Structural equation modeling (SEM) represents a theory-driven data analytical approach for
the evaluation of a priori specified hypotheses about causal relations among measured …