Logistic Regression Models for Ordinal Response Variables

Scholarly InterestsStatistical methods, with an emphasis on single and multilevel generalized linear models; evaluation of professional development and health/education programs or interventions, particularly for HIV prevention; secondary analysis of large-scale databases; capacity building for community-based organizations; translation of evidence-based interventions.

• List of Tables and FiguresSeries Editor’s IntroductionAcknowledgments1. IntroductionPurpose of This BookSoftware and SyntaxOrganization of the Chapters2. Context: Early Childhood Longitudinal StudyOverview of the Early Childhood Longitudinal StudyPractical Relevance of Ordinal OutcomesVariables in the Models3. Background: Logistic RegressionOverview of Logistic RegressionAssessing Model FitInterpreting the ModelMeasures of AssociationEXAMPLE 3.1: Logistic RegressionComparing Results Across Statistical Programs4. The Cumulative (Proportional) Odds Model for Ordinal OutcomesOverview of the Cumulative Odds ModelEXAMPLE 4.1: Cumulative Odds Model With a Single Explanatory VariableEXAMPLE 4.2: Full-Model Analysis of Cumulative OddsAssumption of Proportional Odds and Linearity in the LogitAlternatives to the Cumulative Odds ModelEXAMPLE 4.3: Partial Proportional Odds5. The Continuation Ratio ModelOverview of the Continuation Ratio ModelLink FunctionsProbabilities of InterestDirectionality of Responses and Formation of the Continuation RatiosEXAMPLE 5.1: Continuation Ratio Model With Logit Link and Restructuring the DataEXAMPLE 5.2: Continuation Ratio Model With Complementary Log-Log LinkChoice of Link and Equivalence of Two Clog-Log ModelsChoice of Approach for Continuation Ratio ModelsEXAMPLE 5.3: Full-Model Continuation Ratio Analyses for the ECLS-K Data6. The Adjacent Categories ModelOverview of the Adjacent Categories ModelEXAMPLE 6.1: Gender-Only ModelEXAMPLE 6.2: Adjacent Categories Model With Two Explanatory VariablesEXAMPLE 6.3: Full Adjacent Categories Model Analysis7. ConclusionConsiderations for Further StudyNotesAppendix A: Chapter 3Appendix B: Chapter 4Appendix C: Chapter 5Appendix D: Chapter 6ReferencesIndexAbout the Author

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