Name: Using Mplus for Structural Equation Modeling: A Researcher's Guide (en Inglés)
Price: 998.78 MXN
Availability: InStock
Author: Kelloway, E. Kevin
ISBN: 9781452291475

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portada Using Mplus for Structural Equation Modeling: A Researcher's Guide (en Inglés)

Formato

Libro Físico

Autor

E. Kevin Kelloway

Editorial

Sage Publications, Inc

Idioma

Inglés

Encuadernación

Tapa Blanda

Dimensiones

22.8 x 15.6 x 1.4 cm

Peso

0.35 kg.

ISBN13

9781452291475

N° edición

0002

Categorías

Investigación social y estadística
Probabilidad y estadística

Using Mplus for Structural Equation Modeling: A Researcher's Guide (en Inglés)

E. Kevin Kelloway (Autor) · Sage Publications, Inc · Tapa Blanda

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Reseña del libro "Using Mplus for Structural Equation Modeling: A Researcher's Guide (en Inglés)"

Ideal for researchers and graduate students in the social sciences who require knowledge of structural equation modeling techniques to answer substantive research questions, Using Mplus for Structural Equation Modeling provides a reader-friendly introduction to the major types of structural equation models implemented in the Mplus framework. This practical book, which updates author E. Kevin Kelloway's 1998 book Using LISREL for Structural Equation Modeling, retains the successful five-step process employed in the earlier book, with a thorough update for use in the Mplus environment. Kelloway provides an overview of structural equation modeling techniques in Mplus, including the estimation of confirmatory factor analysis and observed variable path analysis. He also covers multilevel modeling for hypothesis testing in real life settings and offers an introduction to the extended capabilities of Mplus, such as exploratory structural equation modeling and estimation and testing of mediated relationships. A sample application with the source code, printout, and results is presented for each type of analysis. "An excellent book on the ins and outs of using Mplus, as well as the practice of structural equation modeling in applied research." --Kevin J. Grimm, University of California, Davis