Description
Book SynopsisWritten for graduate level students in advanced statistics, this handbook offers a comprehensive and practical overview of path analysis. A User's Guide to Path Analysis contains: Definition and graphical illustrations of basic terms and concepts Illustration of causal diagrams with emphasis on variable positioning, path symbols, error terms, missing arrows, and feedback loops In-depth discussion of assumptions underlying path analysis Discussion of causal model estimation with illustrations Practical research questions for interpreting a path model Instructions on how to read a path diagram, and how to use the SPSS computer program and interpret the results Suggestions for what to include when writing up or interpreting findings
Table of ContentsChapter 1 Foreword Chapter 2 Preface Chapter 3 Acknowledgements Chapter 4 1. Introduction Chapter 5 2. Definition of Basic Terms and Concepts Chapter 6 3. Constructing Causal Diagrams Chapter 7 4. Assumptions Chapter 8 5. Causal Model Estimation Chapter 9 6. Types of Research Questions in Path Model Chapter 10 7. Useful Information in Applying Path Analysis Chapter 11 References
