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.
Moses E. Olobatuyi is Assistant Professor in the Department of Sociology & Anthropology at Morgan State University. He received his Ph.D. in Sociology from Howard University. He is the author of several journal articles and an active participant in academic associations, including The Eastern Sociological Society.
Chapter 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