Two-Way Between-Subjects Factorial Design in Statistics MCQs
Two-Way Between-Subjects Factorial Design in Statistics MCQs
The following Two-Way Between-Subjects Factorial Design in Statistics MCQs have been compiled by our experts through research, in order to test your knowledge of the subject of Two-Way Between-Subjects Factorial Design in Statistics. We encourage you to answer these 30 multiple-choice questions to assess your proficiency.
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1: A research design in which we select ______ samples.
A. Dependent
B. Independent
C. Both
D. None
2: Between-Subjects Factor is a type of factor in which different participants are observed at each level of the factor.
A. True
B. False
3: Each Cell is a _____in a research study
A. Individual
B. Sample
C. Group
D. All of these
4: Complete Factorial Design is a research design in which each level of one factor is _____ with each level of the other factor.
A. Combined
B. Crossed
C. Cancelled
D. Both a and b
5: How many factors are required in Factorial Design?
A. None
B. One
C. Two
D. Two or more
6: Interaction is a measure of how cell _____ at each level of one factor change across the levels of a second factor.
A. Variance
B. Mean
C. Range
D. All of these
7: Main Effect is a source of variation associated with _____ across the levels of a single factor.
A. Mean Average
B. Mean Differences
C. Mean square
D. All of these
8: In Mixed Design different participants are observed at each level of _____
A. Between-Subjects Factor
B. Within-Subjects Factor
C. Both
D. None
9: Simple Main Effect Tests are the hypothesis tests used to analyze a significant interaction by comparing the_____ of one factor at each level of a second factor.
A. Mean differences
B. Mean average
C. Simple main effects
D. Both a and c
10: Two-Way ANOVA test is used when the variance in any one population is known.
A. True
B. False
11: Two-Way Between-Subjects ANOVA is a statistical procedure used to test hypotheses concerning the combination of levels of two factors using the _____
A. 2-between Design
B. Between-subjects Design
C. Within-subjects Design
D. Both a and b
12: Within-Subjects Design is a type of repeated-measures design in which researchers observe the same participants _____
A. Across the treatment
B. Before the treatment
C. After the treatment
D. Both b and c
13: Within-Subjects Factor is a type of factor in which the same participants are observed across the levels of the factor.
A. True
B. False
14: The factorial design is a research design in which participants are observed:
A. Across multiple levels of one factor.
B. Across the combination of levels of two or more factors.
C. One time.
D. Across only two levels of one factor.
15: Participants in a study were assigned to groups based on their year in college (sophomore, junior, senior) and gender (male, female). What type of factorial design is most appropriate for this study?
A. A 1-between, 1-within factorial design
B. A between-subjects factorial design
C. A within-subjects factorial design
D. None; this is not a factorial design
16: Participants in a study were assigned to groups based on their year in college (sophomore, junior, senior) and gender (male, female). What type of factorial design is most appropriate for this study?
A. A 1-between, 1-within factorial design
B. A between-subjects factorial design
C. A within-subjects factorial design
D. None; this is not a factorial design
17: An ________ is a measure of how cell means at each level of one factor change across the levels of a second factor.
A. Order
B. Analysis
C. Interaction
D. Intersection
18: There are ________ cells or groups in a 2 x 4 ANOVA design.
A. 3
B. 6
C. 8
D. 12
19: A researcher computes a 3 x 3 between-subjects ANOVA, in which eight participants are observed in each cell. What are the degrees of freedom error for this study?
A. 72
B. 60
C. 36
D. 63
20: A researcher records the amount of time spent by male and female college students on a computer versus playing a sport. Different participants were observed in each group. What type of statistical design is appropriate for this study?
A. One-way between-subjects ANOVA
B. One-way within-subjects ANOVA
C. Two-way between-subjects ANOVA
D. Both B and C
21: A researcher computes the following 2 x 3 between-subjects ANOVA, in which 11 participants were observed in each group. Which effect was significant at a .05 level of significance using the two-way between-subjects ANOVA?
A. Factor A and Factor B only
B. Factor A and the A x B interaction
C. Factor B and the A x B interaction
D. There were no significant effects.
22: A researcher computes a 2 x 3 between-subjects ANOVA and graphs the cell means, with levels of Factor A on the x-axis and levels of Factor B on the y-axis. The lines obtained are parallel, indicating
A. All participants responded well.
B. A significant main effect.
C. A significant interaction.
D. No significant interaction.
23: A researcher groups college students in a study based on their year in college (junior, senior) and their major in college (engineering, arts, sciences). He concludes that perceptions of college life are more positive among seniors majoring in the arts. To reach this conclusion, which statistical test would need to be computed?
A. A two-way between-subjects ANOVA
B. A simple main effect test
C. A post hoc test
D. All of these
24: A researcher conducts a 2 x 3 between-subjects ANOV She finds a significant interaction, where SSBG = 210 and SST = 518. What is the effect size for this test using η2?
A. 0.405
B. 0.245
C. 4.015
D. There is not enough information to answer this question
25: Using the two-way mixed ANOVA, different participants are observed at each level of the between-subjects factor.
A. True
B. False
26: There are two factors and four cells in a 3 x 4 between-subjects ANOV
A. True
B. False
27: If a study has 16 groups, then it is possible that the degrees of freedom for each factor are 3 and 3 for a two-way between-subjects ANOV
A. True
B. False
28: The mean square is the same as a variance since it is SS divided by the degrees of freedom.
A. True
B. False
29: R2is a more powerful estimate of effect size than η2.
A. True
B. False
30: R2is a more powerful estimate of effect size than η2.
A. True
B. False
Two-Way Between-Subjects Factorial Design in Statistics MCQs
