Abstract
This chapter discusses the main concepts of bivariate descriptive statistics (which involves two variables). Through tables, charts and/or summary measures, it is possible to describe the behavior of the variables. In the case of two qualitative variables, the associations between them can be studied through contingency tables and measures of association, such as, chi-square (for nominal and ordinal variables), Phi coefficient, contingency coefficient, and Cramer's V coefficient (all of them for nominal variables), and Spearman's coefficient (for ordinal variables). In the case of two quantitative variables, the correlations between them can be studied through joint frequency distribution tables, charts, such as, scatter plots, and measures of correlation, such as, covariance and Spearman’s correlation coefficient. Finally, tables, charts, and summary measures are generated through the IBM SPSS Statistical Software® and Stata Statistical Software®.
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