Try to answer these Factorial designs in Educational Statistics MCQs and check your understanding of the Factorial designs in Educational Statistics subject.
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A. The strength of the relationship between the predictor and the outcome is reduced by exactly half when the mediator is included in the model.
B. The relationship between the predictor and the outcome remains the same when the mediator is included in the model.
C. The relationship between the predictor and the outcome is completely wiped out when the mediator is included in the model.
D. The interaction of the predictor and the mediator significantly predicts the outcome, but the variables themselves do not.
A. The strength of the relationship between a predictor variable and an outcome variable is reduced by including another variable in the model.
B. The strength of the relationship between a predictor variable and an outcome variable is increased by including another variable as a predictor.
C. The relationship between two variables changes as a function of a third variable.
D. The relationship between two variables decreases as a function of a third variable.
A. ANOVA only
B. ANOVA or chi-square
C. Regression only
D. ANOVA or regression
A. Two-way mixed mixed design
B. Three-way mixed ANOVA
C. Three-way repeated-measures ANOVA
D. Two-way mixed analysis of covariance
A. The effect of one independent variable at individual levels of the other independent variable
B. The difference between the main effects of two independent variables controlling for error
C. The effect of one independent variable at individual levels of the dependent variable
D. The main effects of the independent variables, controlling for interaction effects
A. One
B. Two or more (Correct)
C. None
D. It depends on the sample size
A. They are easier to analyze than other research designs
B. They allow researchers to examine the interaction effects between independent variables (Correct)
C. They are more suitable for qualitative research
D. They have a smaller sample size requirement
A. One
B. Two
C. Three
D. Four (Correct)
A. The interaction between two independent variables
B. The overall effect of one independent variable on the dependent variable, averaged across the levels of the other independent variable (Correct)
C. The effect of a confounding variable
D. The effect of the dependent variable on the independent variable
A. 2
B. 3
C. 4 (Correct)
D. 6
A. 5
B. 6
C. 7 (Correct)
D. 8
A. There are three independent variables and two levels for each variable
B. There are two independent variables and three levels for each variable (Correct)
C. There are three dependent variables and two levels for each variable
D. There are two dependent variables and three levels for each variable
A. It allows for a direct comparison between different independent variables
B. It reduces the sample size requirement
C. It is less time-consuming
D. It can detect interactions between independent variables that may be missed in separate studies (Correct)
A. One
B. Two (Correct)
C. Three
D. It depends on the research question
A. The first independent variable has a larger effect size than the second independent variable
B. The second independent variable is not related to the dependent variable
C. The main effect for the second independent variable is not interpretable due to the interaction effect
D. The main effect for the second independent variable is consistent across all levels of the first independent variable (Correct)