1. Introduction -- 2. Context : early childhood longitudinal study -- 3. Background : logistic regression -- 4. The cumulative (proportional) odds model for ordinal outcomes -- 5. The continuation ratio model -- 6. The adjacent categories model -- 7. Conclusion
Summary
This pocket guide familiarizes applied researchers, particularly those within education and social and behavioral sciences, with alternatives for the analysis of ordinal response variables that are faithful to the actual level of measure of the outcome. Using an early childhood longitudinal study it gives background on logistic regression, then covers the cumulative (proportional) odds model for ordinal outcomes, the continuation ratio model and the adjacent categories model with a number of examples and consideration of SPSS, SAS and SPSS PLUM as tools. It also includes considerations for further study