Public Program Analysis: A New Categorical Data Approach

I: Foundations. - 1. Multidimensional Contingency Tables. - 2. Guidelines for Analysis. - What Are Categorical Data? - Is This a Categorical Data Problem? - What Function Should Be Analyzed? - What Sample Size Is Required? - Are Zero Cells a Problem? - How Many Analyses Should Be Performed? - What Levels of Significance Should Be used? - Summary. - 3. Contingency Table Analysis: The WLS Approach. - The Contingency Table. - Formation of Functions. - The Variance of a Function. - The Linear Model and Categorical Data. - An Example of WLS Analysis. - Additive Association. - Multiplicative Association. - Summary. - Exercises. - II: Simple Applications of the WLS Approach. - 4. One Response and Two Factor Variables. - Analyzing Sentences in Criminal Court. - Defining the Variables. - The Response Function. - Specifying the Model. - Estimating Parameters. - Evaluating the Model's Fit. - Testing Hypotheses. - Interpreting the Model. - Summary. - Exercises. - Appendix: GENCAT Input. - 5. Interaction Among Factor Variables. - Adding Complexity. - Modeling Interaction. - A Modular Model. - Comparison of Models. - Summary. - Exercises. - Appendix: GENCAT Input. - 6. Mean Scores. - Measuring HMO Usage. - Formation of Means. - The Prediction Model. - Defining New Factor Variables. - A Reduced Model. - Using the Model. - Summary. - Exercises. - Appendix: GENCAT Input. - 7. Log-Linear Models. - Analyzing Air Pollution Effects. - The Data. - Defining the Variables. - A Rationale for the Logit. - The Logit Model. - Comparison of WLS and ML Results. - An Odds-Ratio Interpretation. - Lead-A Significant Factor? - Summary. - Exercises. - Appendix: GENCAT Input. - III: Advanced Applications of the WLS Approach. - 8. Multiple Response Functions. - Examining Trust in Government. - Structure of a Multiresponse Table. - Mean Trust Scores. - Multiple Proportions. - Summary. - Exercises. - Appendix: GENCAT Input. - 9. Rank Correlation Methods. - Are People Consistent in Their Responses? - A Rank Correlation Coefficient. - Computing Gamma Using GENCAT. - Examining Consistency. - Results: No Education Effect. - Summary. - Exercises. - Appendix: GENCAT Input. - 10. Rank Choice Analysis. - Choosing Among Competing Alternatives. - Discrete-Choice Data and Few Choices. - Discrete-Choice Data and Many Choices. - Continuous-Choice Data. - Summary. - Exercises. - Appendix: GENCAT Input. - 11. Follow-Up Life Table Analysis. - Predicting HMO Membership. - The Follow-Up Life Approach. - WLS and the Follow-Up Life Table. - Specifying the Model. - Age and Year of Enrollment. - Summary. - Exercises. - Appendix: GENCAT Input. - 12. Selected WLS Literature. - Paired Comparisons. - Observer Agreement. - Supplemented Margins. - Repeated Measures. - Partial Association. - Competing Risks. - Multiple-Record Systems. - Complex Sample Surveys. - Complex Functions. - Functional Asymptotic Regression Methodology (FARM). - Variable Selection. - Comparisons to Parametric Regression. - Philosophy of Data Analysis. - Appendixes. - Appendix A: Matrix Notation. - Matrix Definitions. - Matrix Arithmetic. - The Inverse Matrix. - System of Linear Equations-Scalar Presentation. - System of Linear Equations-Matrix Presentation. - Summary. - Exercises. - Appendix B: The Linear Model. - Traditional Approach to ANOVA. - Linear Model Approach to ANOVA. - Coding Methods. - Testing Hypotheses. - Two-Way ANOVA. - Interaction. - Summary. - Exercises. - Appendix C: Table of Chi-Square Values. - Appendix D: The GENCAT Computer Program. - An Overview of GENCAT. - Entering the Data to GENCAT. - Left-Hand Side of the Equation. - Right-Hand Side of the Equation. - Testing Individual Hypotheses. - Summary of Major Input to GENCAT. - GENCAT Input and Output for Chapter 4. - References.