Question 1

How many levels are present for each variable?

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
A)  2 
B)  3 
C)  4 
D)  5 A

Question 2

Which of the following is not a factorial ANOVA design?

Accepted Answer

A)  Summated-groups design 
B)  Independent-groups design 
C)  Repeated-measures design 
D)  Mixed model design 
A)  Summated-groups design 
B)  Independent-groups design 
C)  Repeated-measures design 
D)  Mixed model design A

Question 3

How many interaction effects would need to be analysed in this example?

Accepted Answer

A)  1 
B)  2 
C)  3 
D)  4 
A)  1 
B)  2 
C)  3 
D)  4 D

Question 4

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?

Accepted Answer

A)  PST × gender 
B)  PST + gender 
C)  PST / gender 
D)  PST - gender 
A)  PST × gender 
B)  PST + gender 
C)  PST / gender 
D)  PST - gender

Question 5

How would you define a factorial analysis of variance?

Accepted Answer

A)  An experiment with two or more independent variables 
B)  An experiment with two or more dependent variables 
C)  An experiment with two or more independent and dependent variables 
D)  An experiment with one independent and dependent variable 
A)  An experiment with two or more independent variables 
B)  An experiment with two or more dependent variables 
C)  An experiment with two or more independent and dependent variables 
D)  An experiment with one independent and dependent variable

Question 6

What else is an independent groups design referred to as?

Accepted Answer

A)  Between groups 
B)  Within groups 
C)  Between-within groups 
D)  None of the above are appropriate 
A)  Between groups 
B)  Within groups 
C)  Between-within groups 
D)  None of the above are appropriate

Question 7

Which of the following equations is correct for calculating a variable's mean squared value?

Accepted Answer

A)  SSA / dfA = MSA 
B)  SSA × dfA = MSA 
C)  SSA + dfA = MSA 
D)  SSA - dfA = MSA 
A)  SSA / dfA = MSA 
B)  SSA × dfA = MSA 
C)  SSA + dfA = MSA 
D)  SSA - dfA = MSA

Question 8

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?

Accepted Answer

A)  Two-way independent ANOVA 
B)  One-way repeated-measures ANOVA 
C)  Three-way mixed model ANOVA 
D)  None of the above are appropriate 
A)  Two-way independent ANOVA 
B)  One-way repeated-measures ANOVA 
C)  Three-way mixed model ANOVA 
D)  None of the above are appropriate

Question 9

Based on the table above, how was the F-score for gender calculated (assuming gender is coded as A)?

Accepted Answer

A)  MSA / MSR 
B)  MSA × MSR 
C)  MSR / MSA 
D)  MSA / MSB 
A)  MSA / MSR 
B)  MSA × MSR 
C)  MSR / MSA 
D)  MSA / MSB

Question 10

How many independent variables are being measured?

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
A)  2 
B)  3 
C)  4 
D)  5

Question 11

Calculate the total sum of squares (SST) if the grand variance (s2) = 3.86 and the degrees of freedom (df) = 27

Accepted Answer

A)  104.2 
B)  0.14 
C)  30.9 
D)  23.1 
A)  104.2 
B)  0.14 
C)  30.9 
D)  23.1

Question 12

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?

Accepted Answer

A)  Two-way ANOVA 
B)  Three-way ANOVA 
C)  Five-way ANOVA 
D)  Three-way mixed model ANOVA 
A)  Two-way ANOVA 
B)  Three-way ANOVA 
C)  Five-way ANOVA 
D)  Three-way mixed model ANOVA

Question 13

How might you calculate the mean sum of squares (SSM)?

Accepted Answer

A)  Sum of squares for gender + PST + gender × PST = SSM 
B)  Sum of squares for gender + PST = SSM 
C)  Sum of squares for error + intercept = SSM 
D)  Sum of squares for error + gender = SSM 
A)  Sum of squares for gender + PST + gender × PST = SSM 
B)  Sum of squares for gender + PST = SSM 
C)  Sum of squares for error + intercept = SSM 
D)  Sum of squares for error + gender = SSM

Question 14

How many independent variables are being analysed in this example?

Accepted Answer

A)  2 
B)  3 
C)  4 
D)  5 
A)  2 
B)  3 
C)  4 
D)  5

Question 15

How is SSR represented in a 'between-subject effects' table?

Accepted Answer

A)  Error 
B)  Corrected model 
C)  Corrected total 
D)  Intercept 
A)  Error 
B)  Corrected model 
C)  Corrected total 
D)  Intercept

Question 16

How many within-group effects are present?

Accepted Answer

A)  0 
B)  1 
C)  2 
D)  3 
A)  0 
B)  1 
C)  2 
D)  3

Question 17

What does residual sum of squares (SSR) represent?

Accepted Answer

A)  Individual differences in performance or the variance that can't be explained by factors that were systematically manipulated 
B)  Group differences in performance or the variance that can be explained by factors that were systematically manipulated 
C)  Interactive differences in performance or the variance that can't be explained by factors that were systematically manipulated 
D)  Cumulative differences in performance or the variance that can be explained by factors that were systematically manipulated 
A)  Individual differences in performance or the variance that can't be explained by factors that were systematically manipulated 
B)  Group differences in performance or the variance that can be explained by factors that were systematically manipulated 
C)  Interactive differences in performance or the variance that can't be explained by factors that were systematically manipulated 
D)  Cumulative differences in performance or the variance that can be explained by factors that were systematically manipulated

Question 18

How might you wish to present the data graphically?

Accepted Answer

A)  Box-whisker plot 
B)  Bar chart 
C)  Histogram 
D)  All of the above 
A)  Box-whisker plot 
B)  Bar chart 
C)  Histogram 
D)  All of the above

How many levels are present for each variable?

Which of the following is not a factorial ANOVA design?

How many interaction effects would need to be analysed in this example?

Calculate the mean and standard deviation for each group from the data below. ANSWERS If the equation for the above study was: score = (b₀ + b₁PST_i + b₂gender_i + b₃interaction_i)+E_i, how would you express the interaction effect between the PST and the gender?

How would you define a factorial analysis of variance?

What else is an independent groups design referred to as?

Which of the following equations is correct for calculating a variable's mean squared value?

Based on the table above, how was the F-score for gender calculated (assuming gender is coded as A)?

How many independent variables are being measured?

Calculate the total sum of squares (SS_T) if the grand variance (s²) = 3.86 and the degrees of freedom (df) = 27

How might you calculate the mean sum of squares (SS_M)?

How many independent variables are being analysed in this example?

How is SS_R represented in a 'between-subject effects' table?

How many within-group effects are present?

What does residual sum of squares (SS_R) represent?

How might you wish to present the data graphically?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Exam 14: Glm 3: Factorial Designs

How many levels are present for each variable?

Which of the following is not a factorial ANOVA design?

How many interaction effects would need to be analysed in this example?

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?

How would you define a factorial analysis of variance?

What else is an independent groups design referred to as?

Which of the following equations is correct for calculating a variable's mean squared value?

Based on the table above, how was the F-score for gender calculated (assuming gender is coded as A)?

How many independent variables are being measured?

Calculate the total sum of squares (SST) if the grand variance (s2) = 3.86 and the degrees of freedom (df) = 27

How might you calculate the mean sum of squares (SSM)?

How many independent variables are being analysed in this example?

How is SSR represented in a 'between-subject effects' table?

How many within-group effects are present?

What does residual sum of squares (SSR) represent?

How might you wish to present the data graphically?

Why Is My Evil Lecturer Forcing Me to Learn Statistics

The Spine of Statistics

The Phoenix of Statistics

The Ibm Spss Statistics Environment

Exploring Data With Graphs

The Beast of Bias

Non-Parametric Models

Correlation

Regression

Comparing Two Means

Moderation,mediation and More Regression

Glm 1: Comparing Several Independent Means

Glm 2: Comparing Means Adjusted for Other Predictors Analysis of Covariance

Glm 4: Repeated-Measures Designs

Glm 5: Mixed Designs

Multivariate Analysis of Variance Manova

Exploratory Factor Analysis

Categorical Outcomes: Chi-Square and Loglinear Analysis

Categorical Outcomes: Logistic Regression

Multilevel Linear Models

Filters

Calculate the mean and standard deviation for each group from the data below. ANSWERS If the equation for the above study was: score = (b₀ + b₁PST_i + b₂gender_i + b₃interaction_i)+E_i, how would you express the interaction effect between the PST and the gender?

Calculate the total sum of squares (SS_T) if the grand variance (s²) = 3.86 and the degrees of freedom (df) = 27

How might you calculate the mean sum of squares (SS_M)?

How is SS_R represented in a 'between-subject effects' table?

What does residual sum of squares (SS_R) represent?