Repeated-Measures Analysis of Variance MCQs
Repeated-Measures Analysis of Variance MCQs
Welcome to MCQss.com, your comprehensive resource for multiple-choice questions on Repeated-Measures Analysis of Variance (ANOVA). Repeated-Measures ANOVA is a powerful statistical technique used to analyze data with a within-subjects design.
On this page, you will find a diverse range of multiple-choice questions that explore the intricacies of Repeated-Measures ANOVA. These questions cover topics such as the assumptions of the test, calculating the F-statistic, interpreting the results, conducting post-hoc analyses, and understanding within-subjects designs.
1: Repeated-measures ANOVA assumes no Person × Treatment interaction.
A. True
B. False
2: An assumption that must be satisfied for the F ratio in a univariate repeated-measures analysis of variance to correspond to an accurate Type I error risk is known as ________ .
A. Order Effect
B. Attrition
C. Internal Validity
D. Sphericity
3: A test of the sphericity assumption for repeated-measures analysis of variance, required only when there are more than two levels of the repeated-measures factor is known as _______ .
A. Order Effect
B. Attrition
C. Mauchly’s Internal Validity
D. Sphericity
4: Counterbalancing involves presenting the treatments in different orders to avoid a confound between order of ________ .
A. Presentation of treatment
B. Type of treatment
C. Both a & b
D. None of these
5: Latin Square is a Latin square that has k rows and k columns .
A. True
B. False
6: Repeated-Measures Analysis of Variance (ANOVA) is used when:
A. There are multiple independent variables and one dependent variable
B. The data are non-normally distributed
C. The same participants are measured under different conditions or time points (Correct)
D. The sample size is small
7: In Repeated-Measures ANOVA, the term "within-subjects factor" refers to:
A. The dependent variable
B. The independent variable
C. The groups or conditions under which participants are measured (Correct)
D. The control variables
8: How does Repeated-Measures ANOVA differ from One-Way ANOVA?
A. Repeated-Measures ANOVA can handle more than one independent variable, while One-Way ANOVA cannot
B. Repeated-Measures ANOVA involves measuring the same participants multiple times, while One-Way ANOVA involves different groups of participants (Correct)
C. Repeated-Measures ANOVA requires a larger sample size than One-Way ANOVA
D. Repeated-Measures ANOVA is only suitable for normally distributed data
9: In Repeated-Measures ANOVA, what does the Mauchly's test of sphericity assess?
A. The assumption of homogeneity of variance
B. The assumption of normality
C. The assumption of linearity
D. The assumption of sphericity (Correct)
10: When conducting Repeated-Measures ANOVA, a researcher should be concerned about Type I error inflation due to:
A. Increased power in the analysis
B. Multiple comparisons across the same dependent variable (Correct)
C. The use of multiple independent variables
D. The effect of outliers in the data
11: In Repeated-Measures ANOVA, if the p-value is less than the significance level (e.g., α = 0.05), what does it indicate?
A. There is no significant difference between groups
B. The assumption of homogeneity of variance is met
C. There is a significant difference between at least two conditions (Correct)
D. The assumption of sphericity is violated
12: What is the purpose of conducting post hoc tests in Repeated-Measures ANOVA?
A. To compare the means of all groups to a control group
B. To compare the means of different dependent variables
C. To determine which conditions or time points differ significantly from each other after finding a significant overall effect (Correct)
D. To explore the relationship between the dependent variable and independent variable
13: In Repeated-Measures ANOVA, the F-ratio indicates:
A. The effect size of the independent variable
B. The variance between conditions relative to the variance within conditions (Correct)
C. The number of participants in each group
D. The level of significance of the independent variable
14: What is the advantage of using Repeated-Measures ANOVA over other designs with separate groups?
A. Repeated-Measures ANOVA allows for the comparison of groups with different participants
B. Repeated-Measures ANOVA requires a smaller sample size
C. Repeated-Measures ANOVA reduces individual differences, leading to increased power (Correct)
D. Repeated-Measures ANOVA is only suitable for normally distributed data
15: A researcher conducts a Repeated-Measures ANOVA with three within-subjects conditions. If the null hypothesis is rejected, what does it suggest?
A. There is a significant difference between the means of the conditions
B. The assumption of sphericity is met
C. The data are normally distributed
D. The conditions have an effect on the dependent variable, but the direction and magnitude of the differences are not specified by the ANOVA (Correct)
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Repeated-Measures Analysis of Variance MCQs
