The book opens with an introduction to the fundamental concepts of SEM and
the basics of the AMOS program. The next 3 sections present
applications that focus on single-group, multiple-group, and
multitrait-mutimethod and latent growth curve models. The book concludes
with a discussion about non-normal and missing (incomplete) data and
two applications capable of addressing these issues.
Intended for researchers, practitioners, and students who use SEM and AMOS
in their work, this book is an ideal resource for graduate level
courses on SEM taught in departments of psychology, education, business,
and other social and health sciences and/or as a supplement in courses
on applied statistics, multivariate statistics, statistics II,
intermediate or advanced statistics, and/or research design. Appropriate
for those with limited or no previous exposure to SEM, a prerequisite
of basic statistics through regression analysis is recommended.
