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# Discovering Statistics

Statistics

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## Quiz 14 : Glm 3: Factorial Designs

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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Calculate the mean and standard deviation for each group from the data below. ANSWERS 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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How many independent variables are being measured?
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How might you calculate the mean sum of squares (SSM)?
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How many within-group effects are present?
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Which of the following is not a factorial ANOVA design?
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How would you define a factorial analysis of variance?
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How might you wish to present the data graphically?
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How many levels are present for each variable?
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How many interaction effects would need to be analysed in this example?
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What does residual sum of squares (SSR) represent?
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Which of the following equations is correct for calculating a variable's mean squared value?
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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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How is SSR represented in a 'between-subject effects' table?
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