Written 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