researcher had young or old participants watch a PG-13 or an R-rated film. After viewing the film, the participants rated the amount of violence in the films—the higher the assigned rating, the more violent the film. The mean results in the four conditions were:
PG-13 |
R |
|
Young |
2 |
4 |
Old |
5 |
10 |
How many independent variables does this study have?
4 |
||
8 |
||
1 |
||
2 |
Using the table and data in the previous question, is there a main effect for age on the dependent variable?
yes |
||
no |
Using the table and data in question 9, is there a main effect for movie rating on the dependent variable?
yes |
||
no |
Using the table and data in question 9, is there an interaction of age and movie rating on the dependent variable?
yes |
||
no |
How many dependent variables are there in the study depicted in the table in question 9?
21 |
||
4 |
||
2 |
||
1 |
1. Total no. of independent variables=2 (i.e. Age and Type of movie)
2. Yes, there is a main effect for age on the dependent variable (since average rating of Flim by Young=(2+4)/2=3<
average rating of Flim by Old=(5+10)/2=7.5).
3. Yes, there is a main effect for movie rating on the dependent variable (since average rating of PG-13 Flim=(2+5)=3.5<average rating of R Flim=(4+10)/2=7.
4. No, there is no interaction of age and movie rating on the dependent variable (since rating by young is lower than the rating by Old for any type of flim i.e. age does not depend on movie rating).
5. No. of dependent variables=1 i.e. rating the amount of violence in the films.
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