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

Written for graduate level students in advanced statistics, this handbook offers a comprehensive and practical overview of path analysis complete with: definition and graphical illustrations of basic terms and concepts; illustration of causal diagrams; in-depth discussion of assumptions underlying path analysis; discussion and illustration of causal model estimation; practical research questions for interpreting a path model; and instructions on how to read a path diagram and use the SPSS computer program.