Exam 11: Moderation, Mediation and More Regression
Exam 1: Why Is My Evil Lecturer Forcing Me to Learn Statistics26 Questions
Exam 2: The Spine of Statistics29 Questions
Exam 3: The Phoenix of Statistics16 Questions
Exam 4: The IBM Spss Statistics Environment27 Questions
Exam 5: Exploring Data With Graphs23 Questions
Exam 6: The Beast of Bias32 Questions
Exam 7: Non-Parametric Models21 Questions
Exam 8: Correlation19 Questions
Exam 9: Regression33 Questions
Exam 10: Comparing Two Means20 Questions
Exam 11: Moderation, Mediation and More Regression21 Questions
Exam 12: GlM 1: Comparing Several Independent Means28 Questions
Exam 13: GlM 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance20 Questions
Exam 14: GlM 3: Factorial Designs30 Questions
Exam 15: GlM 4: Repeated-Measures Designs31 Questions
Exam 16: GlM 5: Mixed Designs19 Questions
Exam 17: Multivariate Analysis of Variance Manova20 Questions
Exam 18: Exploratory Factor Analysis19 Questions
Exam 19: Categorical Outcomes: Chi-Square and Loglinear Analysis19 Questions
Exam 20: Categorical Outcomes: Logistic Regression20 Questions
Exam 21: Multilevel Linear Models20 Questions
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Imagine we found a strong positive correlation between worry and sleep disturbances and we hypothesized that drinking caffeine before going to bed would exacerbate this relationship. What type of analysis could we conduct to test this hypothesis?
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(Multiple Choice)
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Correct Answer:
A
Imagine we found that drinking caffeine before going to bed significantly moderates the relationship between worry and sleep disturbances. What does this tell us?
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(Multiple Choice)
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Correct Answer:
A
Imagine we conducted a mediation analysis and obtained a kappa-squared value of .8 for the indirect effect. What does this tell us?
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(Multiple Choice)
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Correct Answer:
C
Imagine it was found that worry explains the relationship between depression and sleep problems (i.e., depressed people tend to worry more than non-depressed people, leading them to experience more sleep problems). Which of the following is the indirect effect?
(Multiple Choice)
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A researcher had a categorical variable that they wanted to include as a predictor in a regression equation. The researcher was trying to predict the success of a back pain intervention, and the categorical variable was the duration of the back pain prior to treatment, with 4 categories: less than 6 months, 6-12 months, 1-2 years, more than 2 years. They needed to code these variables into dummy variables for the regression using less than 6 months as their control category. Which of the following represents the correct coding scheme?
(Multiple Choice)
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Imagine we wanted to investigate whether a person's profession can predict scores on a self-report psychopathy scale. We collected data from people in eight professions and a group of unemployed people. The eight professions were: bank traders, insurance brokers, health care professionals, business executives, volunteer workers, full-time mums, teachers, construction workers. The outcome was psychopathy score. How could we analyse these data?
(Multiple Choice)
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Imagine we found a strong positive correlation between depression and sleep problems. We might hypothesize that this relationship is explained by worry (i.e., depressed people tend to worry more than non-depressed people, leading them to experience more sleep problems). What type of analysis could we conduct to test this hypothesis?
(Multiple Choice)
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An experiment was done to look at whether different relaxation techniques could predict sleep quality better than nothing. A sample of 400 participants were randomly allocated to one of four groups: massage, hot bath, reading or nothing. For one month each participant received the same relaxation technique for 30 minutes before going to bed each night. A special device was attached to the participant's wrist that recorded their quality of sleep, providing them with a score out of 100. The outcome was the average quality of sleep score over the course of the month.
-Which of the following tables displays the most appropriate coding scheme for analysing these data?
(Multiple Choice)
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Imagine we wanted to look at predictors of popularity of famous sports people. We might hypothesize that the type of sport played would predict how popular the sports person was. Imagine we recruited 1000 participants and asked them to rate out of 10 (10 = They are the best sports person in the world, 0 = They are the worst sports person in the world) how much they liked 100 famous sports people from 10 different types of sports (10 sports people from each category). Could we analyse these data using regression, and if so how?
(Multiple Choice)
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Why is it common in moderation analysis to transform the predictors using grand mean centring?
(Multiple Choice)
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Which of the following sentences about grand mean centring in moderation analysis is not true?
(Multiple Choice)
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A busy social life has been found to increase happiness in participants who are experiencing low levels of stress, but decrease happiness in participants who are experiencing high levels of stress. What is this an example of?
(Multiple Choice)
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Imagine we wanted to investigate whether a person's profession can predict scores on a self-report psychopathy scale. We collected data from people in eight different professions and a group of unemployed people. The eight professions were: bank traders, insurance brokers, health care professionals, business executives, volunteer workers, full-time mums, teachers, construction workers. The outcome was psychopathy score. If we wanted to analyse these data using regression, how many dummy variables would we need?
(Multiple Choice)
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Which of the following is not one of Baron and Kenny's four conditions of mediation?
(Multiple Choice)
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An experiment was done to look at whether different relaxation techniques could predict sleep quality better than nothing. A sample of 400 participants were randomly allocated to one of four groups: massage, hot bath, reading or nothing. For one month each participant received the same relaxation technique for 30 minutes before going to bed each night. A special device was attached to the participant's wrist that recorded their quality of sleep, providing them with a score out of 100. The outcome was the average quality of sleep score over the course of the month.
- Which test could we use to analyse these data?
(Multiple Choice)
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