## EDUC 812 Quiz ANOVA

**EDUC 812 Quiz ANOVA with Tukey**

Covers the Textbook material from Module 4: Week 4.

- If eta squared equals .002, then the effect size is medium.
- An Analysis of Variance (ANOVA) demonstrated the following results,
*F*(2, 27) = 5.56,*p*= .007. What can be concluded based on these results? - The result of an One-Way ANOVA for total teacher burnout among four groups of teachers was
*F*(3, 117) = 3.82,*p*= .02. The corresponding effect size was η2 = .26. What can be concluded about these results? - An One-Way analysis of variance was conducted to evaluate the null hypothesis that there is no difference in high school students’ level of satisfaction based on their family’s socioeconomic status. The independent variable, socioeconomic status, included three groups: Low (
*M*= 21.36,*SD*= 4.75,*n*= 140), Moderate (*M*= 24.10,*SD*= 4.15,*n*= 130), and High (*M*= 29.73,*SD*= 6.85,*n*= 130). The researcher found, F(2 , ? ) = 4.64, p = .01. What is the df for the denominator? - The assumption of homogeneity of variance should be examined using the Shapiro-Wilks test.
- An Independent Samples
*t*-test should be use to answer the following research question? RQ: Is there a difference in the attitude toward science fairs among students who either won 1st, 2nd, 3rd, or no award at all at the local science fair? - An One-Way ANOVA was conducted and the researcher tested the assumption of homogeneity of variances. How can the researcher test this assumption?
- A researcher was comparing the differences between only two groups using a
*t*– test. Would Post Hoc analysis be required if the researcher found a significant difference? - The result of a One-Way ANOVA for total stress symptoms among four groups of teachers (pre-k, elementary, middle, high school) was
*F*(3, 117) = 3.82,*p*< .05. The corresponding effect size was η2 = .265. What can be concluded about these results? - The Analysis of Variance (ANOVA) is used to determine if there is a difference between means of two or more unrelated groups on the same continuous dependent variable. If you reject the null using an ANOVA, you should run multiple
*t-*tests between each pair of groups. - Boxplots can be used to identify potential outliers within groups.
- Which of the following pieces of information is needed to decide on a sample size that will provide adequate statistical power for an One-Way ANOVA?
- Why would a researcher choose to conduct an One-Way ANOVA rather than multiple independent samples
*t*-tests? - The assumption of homogeneity of variances was tested, and

the Levene’s test yielded a value of (*p*= .06). Was the assumption met? - An One-Way analysis of variance was conducted. The results of the ANOVA were significant,
*F*(2, 432) = 3.75,*p*= .03. A pairwise comparison of group means was conducted. Based on this information, which pairwise comparison test is the “best” choice and most widely used in educational research? - Describe the
*F* - A one-way analysis of variance was conducted. The results of the ANOVA were significant,
*F*(2, 432) = 3.75,*p*= .03. A pairwise comparison of group means was conducted. Based on this information, which pairwise comparison test is the “best” choice and most widely used in educational research? - Running multiple
*t*-tests with more than two groups rather than running just one ANOVA will increase the chance of a Type I error. - The assumption of homogeneity of variances was tested by Levene’s Test,
*F*(2, 432) = 4.61,*p*< .001. Was the assumption met? - Each participant in the study was assigned to a group (Group 1, Group 2, and Group 3). Since the ANOVA was significant, pairwise comparisons were conducted. The researcher found,
*F*( ? ,108) = 6.60,*p*< .003. What is the df for the numerator? - If the null hypothesis is rejected for an One-Way ANOVA, then you should conduct:
- The Analysis of Variance (ANOVA) is used to determine if there is a difference between means of two or more unrelated groups on the same continuous dependent variable.
- An Analysis of Variance (ANOVA) demonstrated the following results for course sense of community,
*F*(2, 27) = 2.56,*p*= .07. Students in online courses (*M*= 12.4,*SD*= 2.26), blended courses (*M*= 13.62,*SD*= 5.56), and the residential courses (*M*= 14.65,*SD*= 7.56) were measured on their sense of community. What can be concluded based on these results? - The degrees of freedom for the
*F*test for the One-Way ANOVA depends on: - Which is a follow-up test that could be done to assess whether all possible pairwise comparisons of group means were significant in an One-Way ANOVA?

Set 2

- represents the number of groups, whereas __________ represents the sample size.
- The assumption of homogeneity of variances was tested, and the Levene’s test yielded a value of (
*p*= .06). Was the assumption met? - Describe the
*F* - The result of a One-Way ANOVA for total stress symptoms among four groups of teachers (pre-k, elementary, middle, high school) was
*F*(3, 117) = 3.827,*p*< .05. The be concluded about - The Analysis of Variance (ANOVA) is used to determine if there is a difference between means of two or more unrelated groups on the same continuous dependent variable. If you reject the null using an ANOVA, you should run multiple
*t-*tests between each pair of groups. - One-way ANOVA has more assumptions than the independent samples
*t* - Which is a follow-up test that could be done to assess whether all possible pairwise comparisons of group means were signi^cant in an One-Way ANOVA?
- Running multiple t-tests with more than two groups rather than running just one ANOVA will increase the chance of a Type I error.
- The assumption of homogeneity of variance should be examined using the Shapiro-Wilks test.
- A one-way analysis of variance was conducted. The results of the ANOVA were signi^cant,
*F*(2, 432) = 3.75,*p*= .03. A pairwise comparison of group means was conducted. Based on this information, which pairwise comparison test is the “best” choice and most widely used in educational research? - If the null hypothesis is rejected for an One-Way ANOVA, then you should conduct:
- The degrees of freedom for the
*F*test for the one-way ANOVA depend on: - If the null hypothesis is rejected in a one-way ANOVA with three groups, then we can infer that:
- Why would a researcher choose to conduct an One-Way ANOVA rather than multiple independent samples
*t*-tests? - A researcher was comparing the differences between only two groups using a
*t*-test. Would Post Hoc analysis be required if the researcher found a signi^cant difference? - An One-Way ANOVA was conducted and the researcher tested the assumption of homogeneity of variances. How can the researcher test this assumption?
- An One-Way analysis of variance was conducted. The results of the ANOVA were signi^cant,
*F*(2, 432) = 3.75,*p*= .03. A pairwise comparison of group means was conducted. Based on this information, which pairwise comparison test is the “best” choice and most widely used in educational research? - Joe wanted to conduct an experiment where participants were randomly assigned to receive either no caffeine, 20 mg of caffeine, 30 mg of caffeine, or 40 mg of caffeine. The dependent variable was heart rate in beats per minute. What is the best analysis to analyze this data?
- Which of the following pieces of information is needed to decide on a sample size that will provide adequate statistical power for an One-Way ANOVA?
- Histograms are primarily used to examine normality of distribution shape of each group, whereas boxplots are used to identify potential outliers within groups.
- If eta squared equals .002, then the effect size is medium.
- The result of an One-Way ANOVA for total teacher burnout among four groups of teachers was
*F*(3, 117) = 3.82,*p*= .02. The corresponding effect size was η2 = .26. What can be concluded about these results? - An Independent Samples
*t*-test should be use to answer the following research question? RQ: Is there a difference in the attitude toward science fairs among students who either won 1st, 2nd, 3rd, or no award at all at the local science fair? - An analysis of variance demonstrated the following results,
*F*(2, 27) = 5.56,*p*= .007. There were ^ve groups. What can be concluded based on these results? - Each participant in the study was assigned to a group (Group 1, Group 2, and Group 3). Since the ANOVA was signi^cant, pairwise comparisons were conducted. The researcher found,
*F*( ? ,108) = 6.60,*p*< .003. What is the df for the numerator?