Part One: BASIC CONCEPTS AND MEASURES. 1. Statistics in the Research Process. 2. Describing Variables. Part Two: MAKING STATISTICAL INFERENCES. 3. Inferences About Means. Part Three: ANALYZING BIVARIATE RELATIONSHIPS. 4. Analysis of Variance. 5. Analyzing Categoric Data. 6. Bivariate Regression and Correlation. Part Four: MULTIVARIATE MODELS. 7. The Logic of Multivariate Contingency Analysis. 8. Multiple Regression Analysis. 9. Nonlinear and Logistic Regression. Part Five: ADVANCED TOPICS. 10. Log-Linear Analysis. 11. Causal Models and Path Analysis. 12. Structural Equation Models. Appendices. List of Mathematical and Statistical Symbols. Answers to Problems. Instructor's Manual and Data Disk Available.

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