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Latent Variable Models - An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition (Paperback, 5th edition)
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Latent Variable Models - An Introduction to Factor, Path, and Structural Equation Analysis, Fifth Edition (Paperback, 5th edition)
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Latent Variable Models: An Introduction to Factor, Path, and
Structural Equation Analysis introduces latent variable models by
utilizing path diagrams to explain the relationships in the models.
This approach helps less mathematically-inclined readers to grasp
the underlying relations among path analysis, factor analysis, and
structural equation modeling, and to set up and carry out such
analyses. This revised and expanded fifth edition again contains
key chapters on path analysis, structural equation models, and
exploratory factor analysis. In addition, it contains new material
on composite reliability, models with categorical data, the minimum
average partial procedure, bi-factor models, and communicating
about latent variable models. The informal writing style and the
numerous illustrative examples make the book accessible to readers
of varying backgrounds. Notes at the end of each chapter expand the
discussion and provide additional technical detail and references.
Moreover, most chapters contain an extended example in which the
authors work through one of the chapter's examples in detail to aid
readers in conducting similar analyses with their own data. The
book and accompanying website provide all of the data for the
book's examples as well as syntax from latent variable programs so
readers can replicate the analyses. The book can be used with any
of a variety of computer programs, but special attention is paid to
LISREL and R. An important resource for advanced students and
researchers in numerous disciplines in the behavioral sciences,
education, business, and health sciences, Latent Variable Models is
a practical and readable reference for those seeking to understand
or conduct an analysis using latent variables.
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