Factorial ANOVA Statistics MCQs
Factorial ANOVA Statistics MCQs
Our experts have gathered these Factorial ANOVA Statistics MCQs through research, and we hope that you will be able to see how much knowledge base you have for the subject of Factorial ANOVA Statistics by answering these multiple-choice questions.
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1: All are correct about about Completely Randomized Factorial Design except_____
A. Participants are randomly assigned to the conditions
B. May allow for the implication of causation
C. Does not allow for the implication of causation
D. All are correct
2: A design in ANOVA where two or more main effects and the interaction between the main effects of independent variables can be evaluated for a single dependent variable is known as _____
A. Randomized block design
B. Repeated measures design
C. Factorial design
D. None of these
3: The interaction effect may reveal outcomes that could not have been predicted had the experiment consisted of two separate one-factor ANOVAs of the same independent variables.
A. True
B. False
4: Each main effect must have how many levels?
A. No level
B. One leve
C. Two levels
D. Two or more levels
5: Simple effects is a situation where_____
A. Interaction is significant
B. Interaction is non significant
C. Experimenter is not interested in all levels of one independent variable
D. Experimenter is interested in only two levels of the other independent variable
6: Factorial ANOVA is used to analyze the main effects and interactions between:
A. Independent and dependent variables
B. Two or more independent variables (factors) (Correct)
C. Two or more dependent variables
D. Categorical and continuous variables
7: In a 2x2 factorial ANOVA design, how many factors are there, and how many levels does each factor have?
A. Two factors, each with two levels
B. Two factors, each with one level
C. Four factors, each with two levels
D. Two factors, each with two levels (Correct)
8: The main effect in factorial ANOVA refers to:
A. The effect of the interaction between the factors
B. The combined effect of all factors on the dependent variable
C. The effect of each individual factor on the dependent variable, ignoring other factors (Correct)
D. The overall effect of the dependent variable on the factors
9: What does the interaction effect in factorial ANOVA indicate?
A. The main effect of each factor on the dependent variable
B. The combined effect of all factors on the dependent variable
C. The effect of one factor is dependent on the level of another factor (Correct)
D. The overall effect of the dependent variable on the factors
10: In a 2x3 factorial ANOVA, how many conditions or groups are there in total?
A. 2
B. 3
C. 6 (Correct)
D. 5
11: The F-ratio in factorial ANOVA is a measure of:
A. Effect size
B. The variance between group means relative to the variance within groups (Correct)
C. The sample size
D. The mean difference between groups
12: In factorial ANOVA, how is the degrees of freedom (df) calculated for the interaction effect?
A. By subtracting the df of each factor from the total df
B. By multiplying the df of each factor
C. By adding the df of each factor
D. By multiplying the df of each factor and subtracting it from the total df (Correct)
13: What is the purpose of conducting a post hoc test in factorial ANOVA?
A. To determine if the assumptions of normality and homogeneity of variance are met
B. To assess the interaction effect
C. To identify which group means significantly differ from each other after finding a significant interaction (Correct)
D. To check for multicollinearity among the factors
14: A researcher conducts a 2x2 factorial ANOVA and finds a significant main effect for Factor A but no significant main effect for Factor B or interaction effect. How many post hoc tests should be conducted?
A. One post hoc test for Factor A only
B. Two post hoc tests for each factor
C. No post hoc test is necessary
D. No post hoc test for Factor A (Correct)
15: What is the critical assumption for factorial ANOVA?
A. Homoscedasticity (homogeneity of variance) (Correct)
B. Normality of the independent variables
C. Linearity of the dependent variable
D. Independence of the observations
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Factorial ANOVA Statistics MCQs
