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What is the difference between a one-way ANOVA and a repeated measures ANOVA?

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Jim will be using a one-way ANOVA to compare the response time during the years 2009, 2010, and 2011.

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Regardless of which ANOVA test is performed, there is an assumption that the data is __________________.


A) leptokurtic
B) normally distributed
C) platykurtic
D) skewed

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Repeating a t-test multiple times to compare more than two groups results in raising the chance of a ____________________.


A) type I error
B) type II error
C) type III error
D) type IV error

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A

_______________________ is used when you are comparing more than two related groups.


A) Factorial ANOVA
B) Mixed design ANOVA
C) One-way ANOVA
D) Repeated measures ANOVA

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D

An assumption of the ___________________ is that the observations are independent of one another.


A) one-way ANOVA
B) paired samples t-test
C) paired samples ANOVA
D) repeated measures ANOVA

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The within-group sum of squares is the difference between the mean of all scores and the mean of each group's score, squared

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False

In ANOVA, a small sample size increases the likelihood of violating the homogeneity of variance assumption.

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If your research includes more than two groups and you perform multiple t-tests rather than an ANOVA, there is a chance of _________________.


A) alpha inflation
B) beta inflation
C) sampling error
D) sample error
True/False

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In Emily's case she will be utilizing a ____________________ to evaluate the difference in cultural competence between departments.


A) repeated-measures ANOVA
B) one-way ANOVA
C) independent t-test
D) paired samples t-test

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A group of researchers is interested in if there is a statistically significant difference in the average number of clients served in four different departments. To answer this question, what type of ANOVA should they use?


A) Factorial ANOVA
B) Mixed design ANOVA
C) One-way ANOVA
D) Repeated measures ANOVA

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A researcher conducts an ANOVA and finds a significant result, what should be done next?


A) post-hoc test
B) beta test
C) alpha test
D) omnibus test

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Classroom A scores an average of 89 on an exam, classroom B scores an average of 85 on the exam, and classroom C scores an average of 94 on the exam. You run an ANOVA test and find a p-value of .50. What is the next step you would take?


A) Run a post-hoc test
B) Reject the null hypothesis
C) Reject the research hypothesis
D) Determine the F-statistic

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The __________________ is a ratio of the amount of variability between groups compared to the amount of variability within each group.


A) t-statistic
B) ANOVA value
C) F-statistic
D) t-value

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What statistic does an ANOVA produce?


A) t-statistic
B) ANOVA value
C) F-statistic
D) t-value

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What is the minimum recommended number of cases for each group in ANOVA?


A) 45
B) 15
C) 30
D) 5

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A(n) ____________________ is needed to determine between which groups there is a significant difference.


A) post-hoc test
B) beta test
C) alpha test
D) omnibus test

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The dependent variable in a repeated measure ANOVA is what type of variable?


A) grouping
B) continuous
C) ordinal
D) nominal

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The ANOVA is known as a(n) _____________________ because it only indicates whether or not there is a significant difference between the groups, not between which groups the difference lies.


A) post-hoc test
B) beta test
C) alpha test
D) omnibus test

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What does the p-value and effect size tell you about the hypothesized relationship?

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