Analysis of Ordinal Data, Volume 8; Volume 1977
SAGE, 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
Joint Prediction of Quantitative Nominal and Ordinal Variables
Computing and Statistical Inference
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31 bureaucrats analogous ANALYSIS OF ORDINAL applied assigned benchmark bivariate Cohen's Kappa column component compute condensed form condensed ordinal form consider corporate tax data in Table domain equals error cells error events error weights evaluate example extensive form Hildebrand independent variable kappa Kendall's Kruskal left or left-center marginal marginal probability measures of association measures of ordinal mixed strategies more-more multiple multivariate analysis National League East Nixman nominal variable observed error rate ordinal association ordinal data ordinal measurement ordinal variables P(TX P(TY paper partial order party affiliation population prediction analysis prediction success predictions for pairs probability pure strategy quadrant measure quantitative variables rank Regression replication sample shaded cells shown in Table Similarly single observations social science social services Somers Spearman's rhos statistical statistical independence subpopulation partial Support for Increased support for social symmetry Table 12 tion trivariate prediction trivariate proposition