spss quiz
Question 1
1. Which of the following factorial design summaries accurately depicts the current design?
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a. |
none of the answers listed is correct |
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b. |
2 x 2 x 2 |
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c. |
3 x 3 x 3 |
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d. |
2 x 3 x 2 |
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e. |
3 x 3 x 2 |
1 points
Question 2
1. How many group cells are present in the homework ANOVA design?
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a. |
none of the answers listed is correct |
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b. |
2 |
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c. |
3 |
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d. |
16 |
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e. |
8 |
1 points
Question 3
1. Did you meet the assumption that the variability of the dependent variable scores is approximately the same in all of the group cells?
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a. |
only under a full moon |
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b. |
possibly |
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c. |
No |
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d. |
please stop asking me this question |
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e. |
Yes |
1 points
Question 4
1. What was the sum of squares of the 24 reading scores?
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a. |
428 |
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b. |
3456 |
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c. |
138 |
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d. |
4022 |
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e. |
none of the answers listed is correct |
1 points
Question 5
1. Which of the following effects explained the most variance in the dependent variable scores?
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a. |
interaction effect for gender x difficulty |
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b. |
main effect for gender |
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c. |
interaction effect for difficulty x length |
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d. |
main effect for length |
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e. |
interaction effect for gender x difficulty x length |
1 points
Question 6
1. Assuming alpha = .05, how many hypotheses (effects) tested in the 3-way ANOVA were statistically significant?
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a. |
1 |
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b. |
8 |
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c. |
5 |
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d. |
none of the answers listed is correct |
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e. |
4 |
1 points
Question 7
1. How much total variance in the reading scores was explained by all of the independent variable main effects and interaction effects?
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a. |
16% |
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b. |
47% |
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c. |
76% |
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d. |
566% |
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e. |
24% |
1 points
Question 8
1. Which of the following is a correct interpretation regarding the ANOVA findings?
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a. |
The boys' average reading score did not differ much from the girls' average. |
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b. |
There was a statistically significant 3-way interaction effect with a substantial η2 effect size. |
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c. |
Girls performed worse on longer passages than boys, but the two groups performed very similarly on short passages. |
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d. |
There was a statistically significant difference between average reading scores when the passage was easy versus difficult, but this difference explained almost no variance in the reading scores. |
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e. |
The boys and girls did not differ in average reading scores except when the passage was difficult. With difficult passages, girls outperformed boys. |
1 points
Question 9
1. Which of the following is the most accurate interpretation of the current findings?
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a. |
The homogeneity of variance assumption was met for the 3-way ANOVA (Levene's F(1, 16)=2.34, p=.08). There were statistically significant main effects for passage difficulty (F(2, 23)=30.92, p<.001) and length (F(2,23)=12.08, p=.003), with η2 effect sizes of .47 and .18, respectively. Only the difficulty x length interaction effect explained a noteworthy amount of variance (η2 = .09; F(16, 23)=5.59, p=.031). |
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b. |
The homogeneity of variance assumption was not met for the 3-way ANOVA (Levene's F(7, 16)=2.34, p=.08). The main effects for passage difficulty (F(1, 16)=30.92, p<.001) and length (F(1,16)=12.08, p=.003) were not statistically significant, but they had substantial η2 effect sizes of .47 and .18, respectively. Only the gender x length interaction effect explained a noteworthy amount of variance (η2 = .09; F(1, 16)=5.59, p=.031). |
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c. |
The homogeneity of variance assumption was met for the 3-way ANOVA (Levene's F(7, 16)=2.34, p=.08). There were statistically significant main effects for passage difficulty (F(1, 16)=30.92, p<.001) and length (F(1,16)=12.08, p=.003), with η2 effect sizes of .47 and .18, respectively. Only the difficulty x length interaction effect explained a noteworthy amount of variance (η2 = .09; F(1, 16)=5.59, p=.031). |
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d. |
The homogeneity of variance assumption was not met for the 3-way ANOVA (Levene's F(7, 16)=2.34, p=.08). There were statistically significant interaction effects for passage difficulty (F(1, 16)=30.92, p<.001) and length (F(1,16)=12.08, p=.003), with η2 effect sizes of .47 and .18, respectively. Only the difficulty x length main effect explained a noteworthy amount of variance (η2 = .09; F(1, 16)=5.59, p=.031). |
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e. |
The homogeneity of variance assumption was met for the 3-way ANOVA (Levene's F(7, 16)=.075, p=2.34). There were statistically significant main effects for gender (F(1, 16)=.947, p=.345) and length (F(1,16)=12.08, p=.003), with η2 effect sizes of .014 and .184, respectively. Only the difficulty x length interaction effect explained a noteworthy amount of variance (η2 = .09; F(1, 16)=5.59, p=.031). |
1 points
Question 10
1. Assume the study was conducted with 6 people in each cell instead of 3. If we also assume that everthing else in the study was held constant (only the cell sizes change), which of the following would be accurate?
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a. |
The η2 effect sizes would increase. |
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b. |
The degrees of freedom for the error term would decrease in magnitude. |
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c. |
The p-values for the main effects would decrease, while the p-values for the interaction effects would increase. |
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d. |
The study would have less power (i.e., lower chance of getting statistically significant results). |
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e. |
The p-values for all effects would decrease. |
1 points
Question 11
1. For the difficulty x length interaction effect, which of the following represents the Cohen's d effect size for the difference between the short and long passage means when the passage was difficult?
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a. |
none of the answers listed is correct |
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b. |
d = 2.14 |
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c. |
d = 3.27 |
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d. |
d = 7.00 |
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e. |
d = 0.00 |
1 points
Question 12
1. How many female students read the easy passage?
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a. |
12 |
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b. |
none of the answers listed is correct |
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c. |
24 |
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d. |
6 |
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e. |
3 |
1 points
Question 13
1. Why is there no need to run post hoc tests for the main effects evaluated in the ANOVA?
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a. |
Post hoc tests are not relevant for any factorial ANOVA with more than one independent variable. |
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b. |
There are only two groups for each of the main effects. Therefore, if a group difference is identified, it is obvious what groups are different. |
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c. |
none of the answers listed is correct |
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d. |
Because there are more than two independent variables, post hoc tests do not apply. |
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e. |
There are only two-way interactions in the ANOVA, and therefore post hoc tests are not needed to interpret the interaction effects. |
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