Table of contents for Logistic regression models for ordinal response variables / Ann A. O'Connell.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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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.