QuestionQUESTION 11 A researcher wants to identify the variables that affect how likely college students are to watch their college's sports teams. The researcher surveys students to measure how often students watch their school's games. They plan to analyze these watch frequency data while considering several independent variables: IV1: Seasons during which the school has televised sports (3 levels): Fall vs. Summer vs. Spring) IV2: How often school teams win ( 5 levels): Mostly Win vs. More Wins than Losses vs. Equal Wins and Losses vs. More Losses than Wins vs. Mostly Lose) IV3: Whether the student identifies generally as a sports fan (2 levels): Sports Fan vs. Not a Sports Fan How many groups (or cells) are required for this factorial design?
Studdy Solution
STEP 1
1. The problem involves a factorial design with three independent variables (IVs).
2. Each independent variable has a specific number of levels:
- IV1: 3 levels (Fall, Summer, Spring)
- IV2: 5 levels (Mostly Win, More Wins than Losses, Equal Wins and Losses, More Losses than Wins, Mostly Lose)
- IV3: 2 levels (Sports Fan, Not a Sports Fan)
3. The number of groups (or cells) in a factorial design is the product of the number of levels of each independent variable.
STEP 2
1. Identify the number of levels for each independent variable.
2. Calculate the total number of groups (or cells) by multiplying the number of levels for each independent variable.
STEP 3
Identify the number of levels for each independent variable:
- IV1: 3 levels
- IV2: 5 levels
- IV3: 2 levels
STEP 4
Calculate the total number of groups (or cells):
The number of groups (or cells) required for this factorial design is:
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