SOAN 3120 Lecture 11: SOAN week 11

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 3120
• Professor: Ryan Broll

Document Summary

Introduction to bivariate association: measures of association or nominal-level variables. Overview: association between variables and the bivariate table (crosstabs, three characteristics of bivariate associations, chi square-based measures of association, lambda: a pre measure for nominal-level variable. Before, things like chi-square tells us statistical significance but it does not mean that it has any meaningful importance in the real world. Introduction to bivariate association: two variables are associated when they vary together. One variable changes as the other does association. The stronger the association between the two variables, the more accurate the predictions are. Stronger relationships are more practically meaningful: if variables are associated, the score on one variable can be predicted from the score of the other variable. The stronger the association, the more accurate the predictions. Introduction to bivariate association: association can provide important evidence for causal relationships, especially if the association is strong. Calculate percentages down, and compare percentages across.