
Sections cover the foundations of SEM; statistical
underpinnings, from assumptions to model modifications; steps in
implementation, from data preparation through writing the SEM report;
and basic and advanced applications, including new and emerging topics
in SEM. Each chapter provides conceptually oriented descriptions, fully
explicated analyses, and engaging examples that reveal modeling
possibilities for use with readers' data. Many of the chapters also
include access to data and syntax files at the companion website,
allowing readers to try their hands at reproducing the authors' results.