Summary
Contents
Subject index
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.
Introduction
Introduction
As is the case with all scientific analysis, the techniques for analyzing causal structures based on non-experimental data presented in this book are based on models of the phenomena being studied. Therefore this first chapter begins with an intuitive introduction to structural equation models (SEM) by showing a few ...
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