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Table of Contents 1.0 ? Introduction * Purpose of this Book * Software and Syntax * Organization of the Chapters 2.0 ? Context: Early Childhood Longitudinal Study * Overview of the Early Childhood Longitudinal Study * Practical Relevance of Ordinal Outcomes * Variables in the Models 3.0 ? Background: Logistic Regression * Overview of Logistic Regression * Assessing Model Fit * Interpreting the Model * Measures of Association * Example 3.1: Logistic Regression * Comparing Results Across Statistical Programs 4.0 ?Cumulative (Proportional) Odds Model for Ordinal Outcomes * Overview of the Cumulative Odds Model * Example 4.1: Cumulative Odds Model with a Single Explanatory Variable * Example 4.2: Full Model Analysis for Cumulative Odds * Assumption of Proportional Odds and Linearity in the Logit * Alternatives to the Cumulative Odds Model * Example 4.3: Partial Proportional Odds 5.0 ? Continuation Ratio Model * Overview of the Continuation Ratio Model * Link Functions * Probabilities of Interest * Directionality of Responses and Formation of the Continuation Ratios * Example 5.1: CR Model with Logit Link and Restructuring the Data * Example 5.2: CR Model with Complementary Log-Log Link * Choice of Link and Equivalence of Two Clog-Log Models * Choice of Approach for CR Models * Example 5.3: Full Model CR Analyses for the ECLS Data 6.0 ? Adjacent Categories Model * Overview of the Adjacent Categories Model * Example 6.1: Gender-only Model * Example 6.2: AC Model with Two Explanatory Variables * Example 6.2: Full AC Model Analysis 7.0 - Conclusions * Considerations for Further Study Notes Appendices References
Library of Congress Subject Headings for this publication:
Logistic regression analysis.
Social sciences -- Statistical methods.
Educational statistics.