# Introduction to Structural Equation Modelling Using SPSS and Amos ePub download

## by Niels J. Blunch

**Author:**Niels J. Blunch**ISBN:**1412945577**ISBN13:**978-1412945578**ePub:**1141 kb |**FB2:**1484 kb**Language:**English**Category:**Mathematics**Publisher:**SAGE Publications Ltd; 1 edition (March 13, 2008)**Pages:**280**Rating:**4.4/5**Votes:**776**Format:**lrf txt lrf lit

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As an alternative to existing books on the subject, which are customarily very long, very high-level and very mathematical, not to mention expensive, Niels Blunch's introduction has been designed for advanced undergraduates and Masters students who are new to SEM and still relatively new to statistics.

Structural Equation Modeling with AMOS. Models with Only Manifest Variables . The Measurement Model in SEM: Confirmatory Factor Analysis. Julie Davies School of Psychology, Bangor University. Geography, Dalarna University.

Secondly, a hypothetical structural equation model on the influencing factors and their . Niels J. Blunch July 2009 · Structural Equation Modeling . .

Secondly, a hypothetical structural equation model on the influencing factors and their relationships to emergency evacuation capability was proposed. Finally, the relationships among influencing factors and their impacts on emergency evacuation capability were analyzed. Introduction to Structural Equation Modelling: Using SPSS and AMOS. May 2010 · Applied Psychological Measurement. Blunch July 2009 · Structural Equation Modeling A Multidisciplinary Journal.

Niels J. Blunch was formerly in the Department of Marketing and Statistics at the . 4 Structural Equation Modeling with AMOS. 77. 5 Models with Only Manifest Variables. 109. Confirmatory Factor Analysis. Blunch was formerly in the Department of Marketing and Statistics at the University of Aarhus, Denmark. 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 good text for structural modeling, but reader be warned, this only covers structural modeling for non-experimental designs. This means, that readers who want to explore structural modeling for mediation analysis in experimental designs will be left wanting with this text. One person found this helpful.

The book includes: Learning objectives, key concepts and questions for further discussion in each chapter.

New software (Lisrel and AMOS) has made the techniques of Structural Equation Modelling (SEM) increasingly available to students and researchers, while the recent adoption of AMOS as part of the SPSS suite has improved access still further.

As an alternative to existing books on the subject, which are customarily very long, very high-level and very mathematical, not to mention expensive, Niels Blunch′s introduction has been designed for advanced undergraduates and Masters students who are new to SEM and still relatively new to statistics.

Illustrated with screenshots, cases and exercises and accompanied by a companion website containing datasets that can be easily uploaded onto SPSS and AMOS, this handy introduction keeps maths to a minimum and contains an appendix covering basic forms of statistical analysis.