Ordinal data can be rank ordered but not assumed to have equal distances between categories. Using support by judges for civil rights measures and bussing as the primary example, this paper indicates how such data can best be analyzed.
Analysis of Ordinal Data Summary
Analysis of Ordinal Data by David K. Hildebrand
This monograph indicates how such data can best be analyzed. It is important because it applies a conceptual scheme recently developed by the authors-prediction analysis-to ordinal data.
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time