Exam 15: Analysis of Variance
Exam 1: Why Study Statistics12 Questions
Exam 2: Use of Statistics in Evidence-Based Practice21 Questions
Exam 3: Review of Key Research Methodology Concepts and Terms22 Questions
Exam 4: Frequency Distributions21 Questions
Exam 5: Graphs and Charts15 Questions
Exam 6: Measures of Central Tendency19 Questions
Exam 7: Measures of Dispersion20 Questions
Exam 8: Types of Distributions18 Questions
Exam 9: Z-Scores, Percentiles and Effect Size15 Questions
Exam 10: Probability and Sampling Distributions24 Questions
Exam 11: Hypothesis Testing and Statistical Significance20 Questions
Exam 12: Type I and Type Ii Errors23 Questions
Exam 13: Interpreting the Strength and Importance of Relationships27 Questions
Exam 14: The T-Test25 Questions
Exam 15: Analysis of Variance19 Questions
Exam 16: Cross Tabulation and Chi-Square22 Questions
Exam 17: Correlation23 Questions
Exam 18: Regression Analysis26 Questions
Exam 19: Applications to Single-System Evaluation Designs20 Questions
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ANOVA can be used only when comparing two means.
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(True/False)
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Correct Answer:
False
When evaluating the effectiveness of an intervention, it would be appropriate to conduct a multiple analysis of variance (MANOVA) when:
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(Multiple Choice)
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Correct Answer:
D
The degrees of freedom for the numerator in the F -ratio is one less than the number of groups being compared.
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Correct Answer:
True
MANOVA should be used when more than one dependent variable is involved in an analysis of variance
(True/False)
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It is appropriate to conduct a t-Test separately for each paired comparison in a post hoc test.
(True/False)
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An analysis of covariance (ANCOVA) is conducted for a study using the pretest and posttest scores of two groups.The F-ratio is statistically significant.What does this mean?
(Multiple Choice)
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The F -ratio will increase when the within group variation increases.
(True/False)
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Suppose a study finds a MSBG of 8 and a MSWG o4.The F-Ratio would be:
(Multiple Choice)
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The ANCOVA procedure examines whether there are significant differences among groups on posttest scores when the effects of the pretest scores or other interval or ratio level variables are controlled.
(True/False)
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A two-factor ANOVA identifies the main effect of each independent variable on the dependent variable as well as any interaction effect between the two of them on the dependent variable.
(True/False)
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Suppose a study comparing three group means has 50 cases per group.Which of the following statements is correct about its degrees of freedom (df).
(Multiple Choice)
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A two-factor ANOVA is conducted to evaluate the effectiveness of exposure therapy in treating civilians and combat veterans who have PTSD.Both groups of clients are randomly assigned to receive either exposure therapy or routine care.A significant interaction effect is found in the two-factor ANOVA.Which of the following interpretations is most appropriate in light of these results?
(Multiple Choice)
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A post hoc test is conducted to make multiple comparisons between the mean scores of three groups of clients in a child guidance center.Group A receives play therapy, only.Group B receives family therapy, only.Group C receives both play and family therapy.The significance level is .05.The p value for the difference between Groups A and B is .66.The p value for the difference between Groups A and C is .01.The p value for the difference between Groups B and C is .01.Which of the following interpretations is most appropriate in light of these results?
(Multiple Choice)
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In a study comparing 4 group means, the number of the between groups degrees of freedom is:
(Multiple Choice)
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Post hoc tests can be employed regardless of whether the F-ratio is significant for the overall data across the multiple groups.
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In a study comparing 4 group means, the F-ratio is statistically significant.This means that:
(Multiple Choice)
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ANOVA results without post hoc tests tell us only that there is a statistically significant difference somewhere among the multiple groups being compared -- not which particular comparisons of group means are statistically significant.
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