Name: Structural Modeling by Example: Applications in Educational, Sociological, and Behavioral Research (en Inglés)
Price: 39.23 EUR
Availability: InStock
Author: Cuttance, Peter ; Ecob, Russell
ISBN: 9780521115247

portada Structural Modeling by Example: Applications in Educational, Sociological, and Behavioral Research (en Inglés)

Formato

Libro Físico

Ilustrado por

Peter Cuttance

Russell Ecob

Editorial

Cambridge University Press

Autor

Cuttance, Peter ; Ecob, Russell

Año

2009

Idioma

Inglés

N° páginas

332

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.9 cm

Peso

0.49 kg.

ISBN

0521115248

ISBN13

9780521115247

N° edición

Categorías

Investigación social y estadística
Psicología experimental
Psicología cognitiva

Structural Modeling by Example: Applications in Educational, Sociological, and Behavioral Research (en Inglés)

Peter Cuttance (Ilustrado por) · Russell Ecob (Ilustrado por) · Cambridge University Press · Tapa Blanda

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39,23 €

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Reseña del libro "Structural Modeling by Example: Applications in Educational, Sociological, and Behavioral Research (en Inglés)"

Structural Modelling by Example offers a comprehensive overview of the application of structural equation models in the social and behavioral sciences and in educational research. It is devoted in nearly equal proportions to substantive issues and to methodological ones. The substantive section comprises case studies of the use of these models in a number of disciplines. The authors emphasize the reasons for modelling by these methods, the processes involved in defining the model, and the interpretation of the results. The methodological section comprises investigations of the behavior of structural equation modelling methods under a number of conditions. The aim is to clarify the situations in which these methods can usefully be applied and the interpretations that can be made. All researchers with a basic understanding of regression and factor analysis will find this book to be an invaluable resource as they seek to evaluate the possibilities of these new approaches for their own data.