Skip to content

Structural Equation Modeling Foundations and Extensions

Best in textbook rentals since 2012!

ISBN-10: 1412916240

ISBN-13: 9781412916240

Edition: 2nd 2009

Authors: David W. Kaplan

List price: $151.00
Blue ribbon 30 day, 100% satisfaction guarantee!
Rent eBooks
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

Description:

Thoroughly revised to address the recent developments that continue to shape the use of structural equation modeling (SEM) in the social and behavioural sciences, the Second Edition of Structural Equation Modeling author has restructured the book into three defined sections: - the foundations of SEM, including path analysis and factor analysis - traditional SEM for continuous latent variables, including assumption issues as well as latent growth curve modeling for continuous growth factors - SEM for categorical latent variables, including latent class analysis, Markov models (latent and mixed latent), and growth mixture modeling. Through the use of detailed, empirical…    
Customers also bought

Book details

List price: $151.00
Edition: 2nd
Copyright year: 2009
Publisher: SAGE Publications, Incorporated
Publication date: 7/23/2008
Binding: Hardcover
Pages: 272
Size: 6.25" wide x 9.26" long x 0.75" tall
Weight: 1.276
Language: English

David Kaplan received his Ph.D. in Education from UCLA in 1987. He is now a Professor of Education and (by courtesy) Psychology at the University of Delaware. His research interests are in the development and application of statistical models to problems in educational evaluation and policy analysis. His current program of research concerns the development of dynamic latent continuous and categorical variable models for studying the diffusion of educational innovations.nbsp; HisWeb site is atwww.udel.edu/dkaplan.

Preface to the Second Edition
Historical Foundations of Structural Equation Modeling for Continuous and Categorical Latent Variables
Path Analysis: Modeling Systems of Structural Equations Among Observed Variables
Factor Analysis
Structural Equation Models in Single and Multiple Groups
Statistical Assumptions Underlying Structural Equation Modeling
Evaluating and Modifying Structural Equation Models
Multilevel Structural Equation Modeling
Latent Growth Curve Modeling
Structural Models for Categorical and Continuous Latent Variables
Epilogue: Toward a New Approach to the Practice of Structural Equation Modeling