16 - ASSOCIATION BETWEEN VARIABLES Flashcards
Association between categorical variables
Cross-tabulation
A cross-tabulation table is simply a frequency distribution for two variables together.
A crosstab is a matrix that shows the “distribution of one variable for each category of a second variable”
(independent variable is SEX and dependent variable is PARTYID)
Association between categorical variables
Chi-square test
examine if the results of the cross-tabulation are statistically significant
Sig (2 sided) - Sig value must be .05 or less –> significant
Association between interval/continuous variables
Pearson’s correlation
determine whether there is a statistically significant linear correlation between two “continuous variables”
(dollars spent on groceries and a consumer’s age – in years)
Note that the Pearson’s r value for comparing age to age is 1, suggesting perfect correlation. If you think about this, that makes logical sense. What you are truly interested in examining is the Pearson’s r value of the 2 different variables (in this case, the value is .139). This suggests that someone ages, they watch more television.
