The Second Edition of this thorough and sophisticated treatment of structuralequation modeling (SEM) has been revised to address the recent developments that continue to shape the use of SEM in the social and behavioural sciences. The 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 examples, Kaplan demonstrates how SEM can provide a unique lens on the problems social and behavioural scientists face. The book has been enhanced with features that will guide the student and researcher through the foundations and criticalassumptions of SEM.
- ISBN: 978-1-4129-1624-0
- Editorial: Sage Publications
- Encuadernacion: Cartoné
- Páginas: 252
- Fecha Publicación: 01/06/2008
- Nº Volúmenes: 1
- Idioma: Inglés