New developments and techniques in structural equation modeling

Contributor(s): Marcoulides, George A [Editor] | Schumacker, Randall E [Editor]
Material type: TextTextPublisher: New York Psychology Perss 2012Description: xvii, 333 p.ISBN: 9780415655729Subject(s): Structural equation modeling | Social sciences - Statistical methodsDDC classification: 519.535 Summary: 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.
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Books Vikram Sarabhai Library
Slot 1425 (0 Floor, East Wing) Non-fiction 519.535 N3 (Browse shelf) Checked out 29/04/2021 180670



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.

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