Two-Way Analysis of Variance (ANOVA) MCQs
Two-Way Analysis of Variance (ANOVA) MCQs
Try to answer these 20+ Two-Way Analysis of Variance (ANOVA) MCQs and check your understanding of the Two-Way Analysis of Variance (ANOVA) subject.
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1: Research design consisting of ____ independent variable is single factor research design
A. One
B. Two
C. Three
D. Zero
2: Research design consisting of all possible combinations of two or more independent variables is factorial research design
A. True
B. False
3: Effect of one independent variable on the dependent variable changes at the different levels of another independent variable is called
A. Main effect
B. Interaction effect
C. Single effect
D. Multiple effect
4: Cell is a combination of ____variables within a factorial research design.
A. Dependent
B. Independent
C. Constant
D. Zero
5: Cell Mean of the dependent variable for a combination of independent variables.
A. True
B. False
6: Effect of an independent variable on the dependent variable within a factorial research design is called
A. Main effect
B. Interaction effect
C. Single effect
D. Multiple effect
7: Effect of an independent variable on the dependent variable within a factorial research design is called
A. Main effect
B. Interaction effect
C. Single effect
D. Multiple effect
8: Marginal Mean represents a main effect within a factorial research design.
A. True
B. False
9: Factorial research design consisting of ____ independent variables is two factor research design
A. One
B. Two
C. Three
D. Zero
10: Effect of one independent variable at one of the levels of another independent variable is called
A. Main effect
B. Interaction effect
C. Single effect
D. Multiple effect
11: Assuming any differences in means are significant, the data below suggests ______.Candies eaten,Group,Boy,12.50Girl,15.00,15.00
A. No main effects, an interaction
B. Two main effects, an interaction
C. One main effect, no interaction
D. Two main effects, no interaction
12: A factorial research design allows you to identify interactions between independent variables.
A. True
B. False
13: Main effects involve comparing marginal means.
A. True
B. False
14: How many F-ratios are calculated if you do a two-way ANOVA?
A. 1
B. 2
C. 3
D. 4
15: How many levels are there of each factor in a 2 × 2 factorial design?
A. 2
B. 4
C. It depends on whether there is an interaction effect.
D. It cannot be determined from the information provided.
16: R2, as a measure of effect size, ______
A. Can only be used when main effects are present
B. Can only be used when an interaction effect is present
C. Can be used when doing a two-way ANOVA
D. Cannot be used when doing a two-way ANOVA
17: A simple effect ______.
A. Is another term for a main effect
B. Is another term for an interaction effect
C. Can only occur if there is no interaction effect
D. Is the effect of one independent variable at one of the levels of another independent variable
18: Interaction effects involve comparing both cell means and marginal means.
A. True
B. False
19: In a factorial research design with two levels of each of two factors (2 × 2 factorial design), you are testing for ______.
A. The main effects of 2 factors
B. The main effects of 4 factors
C. The main effects of 2 factors and an interaction effect
D. The main effects of 4 factors and an interaction effect
20: With a two-way ANOVA you calculate an F-ratio for the interaction effect and each of the main effects.
A. True
B. False
21: Assuming any differences in means are significant, the data below suggestsHours,exercised, per week,Group,Boy,10.00,Girl,10.00,10.00
A. Two main effects, an interaction
B. No main effects, an interaction
C. One main effect, no interaction
D. Two main effects, no interaction
22: A two-way ANOVA involves 2 dependent variables.
A. True
B. False
23: A factorial research design with two levels of each of two factors (2 × 2 factorial design), with 8 participants in each condition would have a total of how many participants.
A. 8
B. 16
C. 24
D. 32
24: An interaction effect means that ______.
A. The effect of one independent variable depends on the level of another independent variable
B. The effect size is extremely small
C. The effect size is extremely large
D. You have a single-factor design
25: Assuming any differences in means are significant, the data below suggests ______.Candies eaten,Group,Boy,12.50,Girl,10.00,12.50
A. Two main effects, an interaction
B. No main effects, an interaction
C. One main effect, an interaction
D. Two main effects, no interaction
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Two-Way Analysis of Variance (ANOVA) MCQs
