POL242Y5 Lecture Notes - Lecture 12: Contingency Table, Hillary Clinton, Dependent And Independent Variables
28 Sep 2020
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Chi-square: tells you whether there is a significant relationship that exists or if its merely coincidental. Comparisons of means: we try to find the mean of each category. For example, if we are looking at income in a categorical sense, we would look at every category (sh-25,000; ,000-50,000, etc. ) and see the mean of each dependent variable (for example, mean age in each category). Crosstab: we look at proportions between dependent and independent variables through columns and rows. When doing crosstab, there are different ways to visualize and represent the results. Be it through a chart, or a bar graph, line chart, etc. (like the one shown in the lecture slides (page 10). Let"s say we hypothesize that partisanship will have a strong effect towards attitudes for hilary. Partisanship (independent) would be the categorical variable and attitudes (dependent) (ranging. We would use a comparison of means so to see what the common perspectives are for each category.
