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Score for this quiz: 50 out of 50
Submitted Jun 12 at 10:48pm
This attempt took 39 minutes.
Question 1
2 / 2 pts
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?
F(2 , 397 )
Question 2
2 / 2 pts
An One-Way ANOVA was conducted and the researcher tested the
assumption of homogeneity of variances. How can the researcher test this
assumption?
Levene’s test
Question 3
2 / 2 pts
An analysis of variance demonstrated the following results, F(2, 27) =
5.56, p = .007. There were five groups. What can be concluded based on
these results?
Post hoc analysis must be conducted
Question 4
2 / 2 pts
If the null hypothesis is rejected for an One-Way ANOVA, then you should
conduct:
Tukey Test
Question 5
2 / 2 pts
Histograms are primarily used to examine normality of distribution shape of
each group, whereas boxplots are used to identify potential outliers within
groups.
True
Question 6
2 / 2 pts
The degrees of freedom for the F test for the One-Way ANOVA depends on:
total sample size and the number of groups
Question 7
2 / 2 pts
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?
All of the above
Question 8
2 / 2 pts
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?
Tukey HSD
Question 9
2 / 2 pts
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?
No
Question 10
2 / 2 pts
The assumption of homogeneity of variances was tested by Levene’s
Test, F(2, 432) = 4.61, p < .001. Was the assumption met?
No
Question 11
2 / 2 pts
The assumption of homogeneity of variances was tested, and
the Levene’s test yielded a value of (p = .06). Was the assumption met?
Yes
Question 12
2 / 2 pts
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?
For total teacher burnout, there was a significant difference among
groups. The effect size was very large.
Question 13
2 / 2 pts
One-way ANOVA has more assumptions than the independent samples t test.
False
Question 14
2 / 2 pts
An analysis of variance 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 average sense of community did not significantly differ among
the online condition (M = 12.4, SD = 2.26), the blended condition
(M = 13.62, SD = 5.56), and the residential condition (M =
14.65, SD = 7.56).
Question 15
2 / 2 pts
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.
True
Question 16
2 / 2 pts
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?
F( 2 ,108)
Question 17
2 / 2 pts
Why would a researcher choose to conduct an One-Way ANOVA rather than
multiple independent samples t-tests?
because multiple pairing of t-tests with more than two groups will
inflate Type I error. The ANOVA omibus F test considers the
differences simultaneously thereby controlling for Type I error.
Question 18
2 / 2 pts
Running multiple t-tests with more than two groups rather than running just one ANOVA will
increase the chance of a Type I error.
True
Question 19
2 / 2 pts
__________ represents the number of groups, whereas __________ represents
the sample size.
k, N
Question 20
2 / 2 pts
The degrees of freedom for the F test for the one-way ANOVA depend on:
total sample size and the number of groups
Question 21
2 / 2 pts
The assumption of homogeneity of variance should be examined using the
Shapiro-Wilks test.
False
Question 22
2 / 2 pts
If eta squared equals .002, then the effect size is medium.
False
Question 23
2 / 2 pts
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?
One-way ANOVA
Question 24
2 / 2 pts
If the null hypothesis is rejected in a one-way ANOVA with three groups, then
we can infer that:
there is probably at least one significant difference in means among
the three possible pairings.
Question 25
2 / 2 pts
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?
Tukey HSD
