Exam 11: Moderation, Mediation and Multicategory Predictors
Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics26 Questions
Exam 2: The Spine of Statistics26 Questions
Exam 3: The Phoenix of Statistics16 Questions
Exam 4: The Ibm Spss Statistics Environment22 Questions
Exam 5: Exploring Data With Graphs21 Questions
Exam 6: The Beast of Bias25 Questions
Exam 7: Non-Parametric Models47 Questions
Exam 8: Correlation25 Questions
Exam 9: The Linear Model Regression23 Questions
Exam 10: Comparing Two Means24 Questions
Exam 11: Moderation, Mediation and Multicategory Predictors24 Questions
Exam 12: Glm 1: Comparing Several Independent Means46 Questions
Exam 13: Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance24 Questions
Exam 14: Glm 3: Factorial Designs21 Questions
Exam 15: Glm 4: Repeated-Measures Designs24 Questions
Exam 16: Glm 5: Mixed Designs22 Questions
Exam 17: Multivariate Analysis of Variance Manova25 Questions
Exam 18: Exploratory Factor Analysis25 Questions
Exam 19: Categorical Outcomes: Chi-Square and Loglinear Analysis24 Questions
Exam 20: Categorical Outcomes: Logistic Regression25 Questions
Exam 21: Multilevel Linear Models23 Questions
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A regression coefficient for an indirect effect is usually expressed in an unstandardized format. Why might it be useful to convert the value to a standardized regression format?
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Suppose a kappa-squared test was used to measure the size of the indirect effect in the cohesion example. What would a value of .1 suggest?
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How might a moderator variable affect the relationship between a predictor and an outcome variable? (You may select more than one option.)
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If a researcher were interested in the determinants of muscular strength (outcome variable), which of the following could be considered as a predictor variables?
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