Exam 15: Repeated-Measures Designs
Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistic15 Questions
Exam 2: The Spine of Statistics16 Questions
Exam 3: The Phoenix of Statistics16 Questions
Exam 4: The Ibm Spss Statistics Environment16 Questions
Exam 5: Exploring Data With Graphs16 Questions
Exam 7: Non-Parametric Models14 Questions
Exam 8: Correlation16 Questions
Exam 9: Regression15 Questions
Exam 10: Comparing15 Questions
Exam 11: Moderation, Mediation and Multicategory Predictors16 Questions
Exam 12: Comparing Several Means16 Questions
Exam 13: Analysis of Covariance16 Questions
Exam 14: Factorial Anova15 Questions
Exam 15: Repeated-Measures Designs15 Questions
Exam 16: Mixed Design Anova16 Questions
Exam 17: Multiple Analysis of Variance Manova16 Questions
Exam 18: Exploratory Factor Analysis16 Questions
Exam 19: Categorical Data16 Questions
Exam 20: Logistic Regression17 Questions
Exam 21: Multilevel Linear Models15 Questions
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The Greenhouse-Geisser correction represents?
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(Multiple Choice)
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Correct Answer:
B
An HRM training researcher observed a situation in which employees learned job-related skills in several conditions: no learning strategy, a verbal learning strategy, a visual one and a verbal-visual one. What considerations would the researchers not need to take into account?
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Correct Answer:
D
What is not an advantage of repeated-measures designs in comparison to independent-measures designs?
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Correct Answer:
B
Which of the following is not a source of variability in repeated-measures ANOVA?
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Which of the following statements about the assumption of sphericity is not true?
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When the assumption of sphericity is violated what action is needed?
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A marketing agency was interested in testing product recall under four conditions using a repeated-measures design. Three participants were included in the analysis. What were the residual degrees of freedom?
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The marketing analyst is now interested in correcting for this sphericity violation. Which of the following methods is not suitable?
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If there is evidence of sphericity in a repeated-measures design the outcome could be that?
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Consider the table below, which outlines the results from the training experiment (Q7). What can we infer?
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When assumptions are violated in repeated-measures ANOVA, a non-parametric test called Friedman's ANOVA can be used in which situations?
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What safeguard could the HRM researcher install to overcome the difficulties associated with repeated measures?
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Tests of Within-Subjects Effects
Measure: MEASURE_1
-In the above analysis the sums of squares are all the same no matter which sphericity correction is applied. This means?

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