Description: 1 Linear Regression and Classical Path Analysis.- Overview and Key Points.- Linear Ordinary Least Squares Regression.- Classical Path Analysis.- Summary.- Exercises.- Recommended Readings.- 2 Confirmatory Factor Analysis.- Overview and Key Points.- Specification and Identification of a CFA Model.- Data-Model Fit.- Model Modification.- Validity and Reliability from a CFA Perspective.- Summary.- Exercises.- Recommended Readings.- 3 General Structural Equation Modeling.- Overview and Key Points.- Specification and Identification of a General Structural Equation Model.- The Direct, Indirect, and Total Structural Effect Components.- Parameter Estimation.- The Structural Equation Modeling Process: An Illustrated Review and Summary.- Conclusion.- Exercises.- Recommended Readings.- Appendix A.- The SIMPLIS Command Language.- Overview and Key Points.- Appendix B.- Location, Dispersion, and Association.- Overview and Key Points.- Statistical Expectation.- A Measure of a Distribution's Location.- A Measure of a Distribution's Dispersion.- A Measure of Association Between Two Variables.- Statistical Standardization.- Standardized Variables.- A Standardized Measure of Association Between Two Variables.- Recommended Readings.- Appendix C.- Matrix Algebra.- Overview and Key Points.- Some Basic Definitions.- Algebra with Matrices.- The Variance/Covariance Matrix.- Recommended Readings.- Appendix D.- Descriptive Statistics for the SES Analysis.- Appendix E.- References.

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