Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS

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This student orientated guide to structural equation modeling promotes theoretical understanding and inspires students with the confidence to successfully apply SEM. Assuming no previous experience, and a minimum of mathematical knowledge, this is an invaluable companion for students taking introductory SEM courses in any discipline. Niels Blunch shines a light on each step of the structural equation modeling process, providing a detailed introduction to SPSS and EQS with a focus on EQS' excellent graphical interface. He also sets out best practice for data entry and programming, and uses real life data to show how SEM is applied in research. The book includes: Learning objectives, key concepts and questions for further discussion in each chapter. Helpful diagrams and screenshots to expand on concepts covered in the texts. A wide variety of examples from multiple disciplines and real world contexts. Exercises for each chapter on an accompanying companion website. A detailed glossary. Clear, engaging and built around key software, this is an ideal introduction for anyone new to SEM.EQS 6 Structural equations program manual. Encino, CA: Multivariate Software, Inc. Bentler, P. M., aamp; Bonnett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588a€“606.


Title:Introduction to Structural Equation Modeling Using IBM SPSS Statistics and EQS
Author: Niels J. Blunch
Publisher:SAGE - 2015-10-15
ISBN-13:

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