Featuring contributions from some of the leading researchers in the
field of SEM, most chapters are written by the author(s) who
originally proposed the technique and/or contributed substantially
to its development. Content highlights include latent variable
mixture modeling, multilevel modeling, interaction modeling, models
for dealing with nonstandard and noncompliance samples, the latest
on the analysis of growth curve and longitudinal data,
specification searches, item parceling, and equivalent models. This
volume will appeal to educators, psychologists, biologists,
business professionals, medical researchers, and other social and
health scientists. It is assumed that the reader has mastered the
equivalent of a graduate-level multivariate statistics course that
included coverage of introductory SEM techniques.
General
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