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New resource
Hello:
Sorry for this mass e-mail, but a professor at my university, Dr. Greg
Hancock, has recently published a book that may be useful to many
researchers on this list. This is a book which is a "second course" on
structural equation modeling. It is intended to help people with only
an introductory knowledge of SEM understand the range of possibilities
with which SEM can be used to analyze data, and if it is anything like
the way Dr. Hancock teaches, it is likely to be free of jargon or
recondite mathematical language. Please see the flyer pasted below.
(please excuse cross-postings)
Information Age Publishing is pleased to announce the first
volume in its new quantitative methods series:
"Structural Equation Modeling: A Second Course"
Gregory R. Hancock & Ralph O. Mueller (Eds.)
This volume is intended to serve as a didactically-oriented
resource covering advanced topics often not discussed in
introductory courses on structural equation modeling (SEM).
Such topics are important in furthering the understanding of
foundations and assumptions underlying SEM as well as in
exploring SEM as a potential tool to address new types of
research questions that might not have arisen during a first
course. Chapters focus on the clear explanation and
application of topics, rather than on analytical
derivations, and contain syntax and partial output files
from popular SEM software.
Chapters provide clear didactic treatments of the following
SEM topics:
* Equivalent structural models
* Formative measurement and feedback loops
* Power analysis
* Latent mean structure models
* Latent growth models
* Mean and covariance structure mixture models
* Latent interaction and quadratic effects
* Nonnormal and categorical data
* Missing data
* Multilevel models with complex sample data
* Monte Carlo methods
For more information about this volume, about the book
series, and about placing orders, please visit:
http://www.infoagepub.com/www/products/product1/serlin.htm