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1. Joe wanted to conduct an experiment where participants were randomly assigned to receive either no caffeine or 150 mg of caffeine; and to a no exercise condition or half an hour of exercise on a treadmill. The dependent variable was heart rate in beats per minute. What is the best analysis to analyze this data?
2. Consider these two tables of cell means. Which one shows evidence of a possible interaction?
3. Joe wanted to test the following research question:
Is there difference in course points of male and female graduate students’ who are using (video conferencing, audio conferencing, or discussion board) in their online course?
What type of design would he use?
4. In a factorial design multiple independent effects are tested simultaneously.
5. Consider these two tables of cell means. Which one shows no possible interaction?
6. When the lines in a graph of the cell means intersect in a two-way ANOVA, you can conclude that:
7. What would be the minimum group size for a two-way ANOVA for large effect size were eta squared = .15, alpha = .05, df = 2, and statistical power equals .80?
8. A 3 x 3 analysis of variance was conducted to examine the effect of race and type of course on university students’ sense of community. The results of the interaction effect revealed, F(2,58) = 1.84, p = .50, observed power = .56. The results for the main effect for course were, F(2, 58) = 7.56, p = .01, η2 = .02. The results for the main effect for race were F(2, 58) = 2.54, p = .22,η2= .001. How can these results be interpreted?
9. The two-way ANOVA results in the calculation of three F-ratios.
10. In planning a study involving a two-way ANOVA, which is not true:
12. For a two-way ANOVA, how does a researcher assess whether the assumption of homogeneity of variance is violated?
13. When the lines in a graph of the cell means are parallel in two-way ANOVA, we can conclude that:
14. A histogram is used for what purpose when conducting a two-way ANOVA?
15. A researcher conducted a two-way ANOVA and found the following results for one of the main effects, F(2, 347) = 9.84, p = .005, η2 = .010, observed power = .87. How can the researcher interpret the effect size?
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EDUC 812 Quiz 1
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EDUC 812 Quiz 5
EDUC 812 Quiz 6
EDUC 812 Quiz 7
EDUC 812 Final Exam
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