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Eleven ways to look at the chi-squared coefficient for contingency tables.
| Content Provider | CiteSeerX |
|---|---|
| Author | Mirkin, Boris |
| Abstract | This article has been written in recognition of the 100th aniversary of introduction of the concept of association between categorical variables by Yule and Pearson. The most popular among the contingency coefficients, Pearson's chi-squared, estimates the bias of a cross-classification from the statistical independence. Also, it measures association per se between the row and column variables. The purpose of this article is to present a collection of eleven definitions for the chisquared coefficient related to either of these goals. One of the quoted definitions of the chi-squared coefficient seems especially appealing as an association measure: the averaged relative Quetelet index of category-to-category associations. Key Words: summary association measure, category-to-category association, aggregation of contingency tables, decomposition of the variance. Contents 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Contingency Table Chi-squared Coefficient Category-to-category Association Contingency Coefficient Eleven Definition Categorical Variable Averaged Relative Quetelet Index Chisquared Coefficient Summary Association Measure Column Variable Association Measure Quoted Definition Statistical Independence 100th Aniversary |
| Content Type | Text |
| Resource Type | Article |
