Exam 10: Comparing Means of More Than Two Groups

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

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

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

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

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

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What statistic does an ANOVA produce?

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

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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?

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

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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.

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

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

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

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

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

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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?

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

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

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