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 findingsqCausal modeling is also referred to as path analysis. Path analysis is the statistical technique used to examine causal relationships between two or more variables. It is based ... studies he published in many essays in 1921, 1934, 1954 , 1960.
|Title||:||A User's Guide to Path Analysis|
|Author||:||Moses E. Olobatuyi|
|Publisher||:||University Press of America - 2006-01-01|