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Introduction to structural equation modeling using IBM SPSS statistics and AMOS / Niels J. Blunch.

By: Contributor(s): Material type: TextTextPublisher: Los Angeles, Calif. : SAGE, 2013Edition: second editionDescription: 303 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781446249000 (pbk.)
  • 9781446248997
  • 1446248992
  • 144624900X (pbk.)
Other title:
  • Structural equation modeling using IBM SPSS statistics and AMOS
Subject(s): DDC classification:
  • 519.535028553 23 B.N.I
LOC classification:
  • QA278.3 .B58 2013
Contents:
PART ONE: PREPARING YOURSELF AND YOUR DATAIntroductionMeasuring Your Variables: Reliability and ValidityFactor AnalysisPART TWO: THE THREE BASIC MODELSStructural Equation Modeling with AMOSModels with Only Manifest VariablesThe Measurement Model in SEM: Confirmatory Factor AnalysisThe General ModelPART THREE: ADVANCED MODELS AND TECHNIQUESMean Structures and Multi-Group AnalysisIncomplete and Non-Normal DataLatent Curve Models
Summary: This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. 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 - Real life examples from a variety of disciplines to show how SEM is applied in real research contexts - Exercises for each chapter on an accompanying companion website - A new glossary at the end of book Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any disciplin
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First ed. published as: Introduction to structural equation modelling using SPSS and AMOS.

computer bookfair2016

Includes bibliographical references and indexes.

PART ONE: PREPARING YOURSELF AND YOUR DATAIntroductionMeasuring Your Variables: Reliability and ValidityFactor AnalysisPART TWO: THE THREE BASIC MODELSStructural Equation Modeling with AMOSModels with Only Manifest VariablesThe Measurement Model in SEM: Confirmatory Factor AnalysisThe General ModelPART THREE: ADVANCED MODELS AND TECHNIQUESMean Structures and Multi-Group AnalysisIncomplete and Non-Normal DataLatent Curve Models


This comprehensive Second Edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM). Updated to include extensive analysis of AMOS' graphical interface, a new chapter on latent curve models and detailed explanations of the structural equation modeling process, this second edition is the ideal guide for those new to the field. 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 - Real life examples from a variety of disciplines to show how SEM is applied in real research contexts - Exercises for each chapter on an accompanying companion website - A new glossary at the end of book Assuming no previous experience of the subject, and a minimum of mathematical knowledge, this is the ideal guide for those new to SEM and an invaluable companion for students taking introductory SEM courses in any disciplin

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