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Momentos estelares de Econolandia

Momentos estelares de Econolandia

"...Una lección de historia económica novelada"


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Memorias

Economista formado básicamente en Francia, Samir Amin (El Cairo, 1931) es uno de los intelectuales más brillantes que ha dado la izquierda contemporánea. Autor de numerosas obras, su trayectoria ha estado fuertemente [...]

La elegancia del erizo

La elegancia del erizo

En el número 7 de la calle Grenelle, un inmueble burgués de París, nada es lo que parece. Dos de sus habitantes esconden un secreto. Renée, la portera, lleva mucho tiempo fingiendo [...]




Introduction to Structural Equation Modelling Using SPSS and Amos.


Introduction to Structural Equation Modelling Using SPSS and Amos.

ISBN: 978-1-4129-4557-8
Materia: Economía cuantitativa
Autor: Blunch, Niels
Editorial: Sage Publications
Edición: 2008
Encuadernación: Rústica
Páginas: 270
PVP: 45,50 €




Reseña:
"Introduction to Structural Equation Modelling using SPSS and AMOS" is a complete guide to carrying out your own structural equation modelling project. Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to structural equation modelling (SEM). Each chapter begins with learning objectives, and ends with a list of the new concepts introduced and questions to open up further discussion. Exercises for each chapter, including the necessary data, can be downloaded from the book's website. Helpful real life examples are included throughout, drawing from a wide range of disciplines including psychology, political science, marketing and health. "Introduction to Structural Equation Modelling using SPSS and AMOS" provides engaging and accessible coverage of all the basics necessary for using SEM, making it an invaluable companion for students taking introductory SEM courses in any discipline.


Índice:
SECTION ONE: EXPLORING YOUR DATA Introduction Classical Test Theory Exploratory Factor Analysis SECTION TWO: MODELING REALITY SEM-Analysis and AMOS Models with Only Manifest Variables The Measurement Model in SEM Confirmatory Factor Analysis The General Causal Model Multi-group Analysis and Mean Structures Incomplete and Non-Normal Data Appendix A Statistical Prerequisites Appendix B AMOS Graphics