Factorial ANOVA: Main Effects and Interaction Effects For now, we'll go back to the more "parsimonious" (simple) design (with only 2 factors). A researcher wanted to know how types of snacks (salty vs sweet) would affect the results of each student in making less errors along with font style (Times New Roman vs. Arial). Students were randomly assigned to either Times New Roman font or Arial font, but every student did a trial with salty snacks and another trial with sweet snacks. This is called a "Mixed Design" because it has at least one each of a "between subjects" factor and "within subjects" (repeated measures) factor. Answer the items below to help describe the characteristics of this study. Which factor is considered "independent" (also called between subjects)? [ Select ] Which factor is considered "correlated" (a.k.a. repeated measures and within subjects)? [ Select ] What scale of measurement are the factors in this study (nominal, ordinal, interval, ratio)? [ Select ] What scale of measurement is the dependent variable (nominal, ordinal, interval, ratio)? [ Select ]