Wise social scientists will make a beeline for the 2nd edition
of David Kaplan s classic text. An essential read for students and
professionals who want to move beyond cookbook presentations with
checklists towards deeper understanding and thoughtful
application.
Judith D. Singer, "Harvard"" University"
Using detailed, empirical examples, Structural Equation
Modeling, Second Edition, presents a thorough and sophisticated
treatment of the foundations of structural equation modeling (SEM).
It also demonstrates how SEM can provide a unique lens on the
problems social and behavioral scientists face.
Thoroughly revised to address recent developments, this new
edition includes:
The foundations of SEM, including path analysis and factor
analysis.Traditional SEM for continuous latent variables, including
latent growth curve modeling for continuous growth factors, and
issues in testing assumptions of SEM.SEM for categorical latent
variables, including latent class analysis, Markov models (latent
and mixed latent), and growth mixture modeling.Philosophical issues
in the practice of SEM, including the problem of causal
inference.
Intended Audience
While the book assumes some knowledge and background in
statistics, it guides readers through the foundations and critical
assumptions of SEM in an easy-to-understand manner.
"
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