Analysis of ordinal data
Sage Publications, May 1, 1977 - Business & Economics - 79 pages
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.
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Bivariate Prediction for Single Observations
Bivariate Prediction for Pairs of Observations
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31 bureaucrats Aberbach and Rockman ajom analogous ANALYSIS OF ORDINAL applied assigned benchmark bivariate Cohen's Kappa column component compute condensed form condensed ordinal form domain equals error cells error events error weights evaluate example extensive form Hildebrand Increased Government Role Ind Rep independent variable kappa Kendall's left or left-center less marginal marginal probability measures of association measures of ordinal mixed strategies more-more multivariate analysis National League East NOMINAL DATA nominal variable observed error rate ordinal association ordinal data ordinal measurement ordinal variables P(TX P(Tyx partial order party affiliation precision prediction analysis prediction success predictions for pairs probability quadrant measure quantitative variables rank right-center Rosenthal shaded cells shown in Table Similarly single observations social science social services Somers Spearman's rhos statistical independence statistics subpopulation partial Support for Increased support for social symmetry t-center Table 12 three subpopulations tion trivariate prediction trivariate proposition