• Example: A factorial ANOVA found a significant difference in
income based on both race and gender, F(5, 27157) =
573.72, p < .001. Specifically, males were found to have
significantly higher incomes than females, F(1, 27157) =
383.95, p < .001. Also, income was found to vary
significantly based on race, F(2, 27157) = 117.93, p < .001.
Finally, a significant interaction between race and gender
was found, F(2, 27157) = 55.09, p < .001.
• in other words, you need to identify which one is the
independent variable and what are the two dependent
The Value of inferential statistics
• You have a lot of interesting variables where
you can do a crosstab analysis. Failure to do so
limits the data to descriptive analysis and you
won’t be able to justify any relationships