Quantitative Applications in the Social Sciences Analysis of Ordinal Data
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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. 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.
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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. 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.
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