One-Factor Repeated-Measures Design MCQs
One-Factor Repeated-Measures Design MCQs
These One-Factor Repeated-Measures Design multiple-choice questions and their answers will help you strengthen your grip on the subject of One-Factor Repeated-Measures Design. You can prepare for an upcoming exam or job interview with these One-Factor Repeated-Measures Design MCQs.
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1: ANOVA Repeated Measures Test is used to assess which of the following?
A. Differences of mean for each level of the independent variable
B. Differences between two groups of participants
C. Relationships between two data sets
D. All of these
2: The purpose of Randomized Block Design is to_____
A. Minimize the variance among units within blocks
B. Minimize the variance among blocks
C. Both
D. None
3: What is a One-Factor Repeated-Measures Design?
A. A research design that involves measuring multiple factors simultaneously
B. A research design that compares multiple groups on a single dependent variable
C. A research design that measures the same group on a single factor at multiple time points
D. A research design that uses both within-subject and between-subject comparisons
4: What is the primary advantage of a One-Factor Repeated-Measures Design?
A. It allows for the comparison of different groups on the same dependent variable
B. It controls for individual differences by using the same group across multiple measurements
C. It reduces the likelihood of experimental bias and demand characteristics
D. It provides a clear cause-and-effect relationship between independent and dependent variables
5: In a One-Factor Repeated-Measures Design, what is the purpose of counterbalancing?
A. To ensure that the order of conditions is randomized for each participant
B. To match participants based on specific characteristics before assigning them to conditions
C. To control for confounding variables by including a control group
D. To calculate effect sizes and statistical significance
6: Which statistical test is commonly used to analyze data from a One-Factor Repeated-Measures Design?
A. Analysis of Variance (ANOVA)
B. t-test for independent samples
C. Chi-square test
D. Correlation analysis
7: What is a potential limitation of a One-Factor Repeated-Measures Design?
A. It requires a large sample size to yield reliable results
B. It is prone to carryover effects or order effects
C. It does not allow for the comparison of multiple dependent variables
D. It is time-consuming and expensive to implement
8: What is the order effect in a One-Factor Repeated-Measures Design?
A. The influence of the researcher's instructions on participant behavior
B. The impact of participant characteristics on the outcome of the study
C. The effect of the sequence in which conditions are presented on participant responses
D. The overall variability of data within each condition
9: How can researchers minimize order effects in a One-Factor Repeated-Measures Design?
A. By randomizing the order of conditions across participants
B. By using a control group to compare against the repeated measures group
C. By manipulating the independent variable in a systematic way
D. By using a between-subjects design instead of a repeated-measures design
10: What is a within-subject difference in a One-Factor Repeated-Measures Design?
A. The difference between groups on the dependent variable
B. The difference between participants on the independent variable
C. The difference in scores obtained from the same participants across different conditions
D. The difference between the experimental and control groups
11: What is a potential advantage of using a One-Factor Repeated-Measures Design over a between-subjects design?
A. It allows for the direct comparison of multiple independent variables
B. It reduces individual differences and increases statistical power
C. It eliminates the need for counterbalancing and random assignment
D. It provides a clearer cause-and-effect relationship between variables
12: How can researchers address carryover effects in a One-Factor Repeated-Measures Design?
A. By excluding any participant who shows carryover effects from the analysis
B. By using a within-subject control condition to compare against the experimental conditions
C. By allowing for a washout period between conditions or using a Latin square design
D. By conducting a separate analysis for participants who exhibit carryover effects
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One-Factor Repeated-Measures Design MCQs
