Exam 14: Glm 3: Factorial Designs
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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How might you calculate the mean sum of squares (SSM)?
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What else is an independent groups design referred to as?
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Calculate the total sum of squares (SST) if the grand variance (s2) = 3.86 and the degrees of freedom (df) = 27
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The variance explained by the experimental manipulation can be attributed to which of the following variables?
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Suppose you were researching the effects of psychological skills training (PST), such as goal setting and imagery, on golf-putting performance (scored out of 10). Twenty-eight participants (14 male and 14 female) were recruited for the study. Seven male and seven female participants were randomly allocated to each of the two conditions. How would you describe this research design?
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Which of the following equations is correct for calculating a variable's mean squared value?
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How many interaction effects would need to be analysed in this example?
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How is SSR represented in a 'between-subject effects' table?
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How many independent variables are being analysed in this example?
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Based on the table above, how was the F-score for gender calculated (assuming gender is coded as A)?
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Analyse the table below. Which independent variables have a significant effect on the dependent variable? 

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Calculate the mean and standard deviation for each group from the data below.
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If the equation for the above study was: score = (b0 + b1PSTi + b2genderi + b3interactioni)+Ei, how would you express the interaction effect between the PST and the gender?



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Suppose the research design was developed further by examining the effects of different types of goal setting (outcome, process and performance) on tennis serve accuracy in male and female novice and expert tennis players. Thirty expert tennis players were allocated to one of the three goal-setting groups, as were the novice players. How would you describe this ANOVA?
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