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The Analysis of Contingency Tables
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A. P. M. and Jones algorithm applications assume assumptions bivariate Borg Carroll cell chi-square cluster analysis configuration contingency table correlation data analysis data matrix defined degrees of freedom dependent variable dimensional dimensions dissimilarity distance distribution equation Euclidean distance example expected values exploratory factor analysis frequencies function GLIM groups Hauser Hence independent individual differences scaling INDSCAL interaction effects interpretation item parameters Kruskal large number least squares linear linearly independent Lingoes log-linear model MDS models MDS solution measures methods metric Mokken monotone multidimensional scaling multivariate non-metric MDS null hypothesis observations obtained P-matrix pattern PINDIS points positive response possible probability problem procedure Psychometrika random Rasch model regression regression analysis Research residuals respond positively row and column sample saturated model score set of items similarity smallest space analysis social science space statistic stimuli structure subject parameters subsets techniques theory tion trace lines transformation variance vector vote