Question 1

If specific hypotheses to particular research questions are required, which of the following would be most appropriate?

Accepted Answer

A)  Contrasts 
B)  Post hoc tests 
C)  Multiple t-tests 
D)  The ANOVA result alone is sufficient. 
A)  Contrasts 
B)  Post hoc tests 
C)  Multiple t-tests 
D)  The ANOVA result alone is sufficient. A

Question 2

If you were to introduce an additional variable called 'force platform status' which denoted whether the force platform was visible to the participants or not, how many experimental conditions would there be?

Accepted Answer

A)  5 
B)  7 
C)  9 
D)  11 
A)  5 
B)  7 
C)  9 
D)  11 B

Question 3

Calculate the r-value (effect size) for the platform variable contrast assuming that F(1,dfR) = 57.1 and dfR = 14.

Accepted Answer

A)  .8 
B)  15 
C)  1.2 
D)  1.0 
A)  .8 
B)  15 
C)  1.2 
D)  1.0 A

Question 4

What are the principal assumptions of a mixed design ANOVA? (You may select more than one option.)

Accepted Answer

A)  Sphericity 
B)  Homogeneity of variance 
C)  Normally distributed curve 
D)  Asymmetry 
A)  Sphericity 
B)  Homogeneity of variance 
C)  Normally distributed curve 
D)  Asymmetry

Question 5

What does the within-groups table refer to?

Accepted Answer

A)  Repeated-measures effects only 
B)  Interaction effects only 
C)  Repeated-measures and interaction effects 
D)  Between group effects 
A)  Repeated-measures effects only 
B)  Interaction effects only 
C)  Repeated-measures and interaction effects 
D)  Between group effects

Question 6

Which variable would be considered the within-groups variable?

Accepted Answer

A)  Running status 
B)  Concentration 
C)  Flavoured water (placebo) 
D)  9% solution (high dose) 
A)  Running status 
B)  Concentration 
C)  Flavoured water (placebo) 
D)  9% solution (high dose)

Question 7

A mixed design ANOVA is based on which type of model?

Accepted Answer

A)  Linear 
B)  Binomial 
C)  Syntax 
D)  Asymmetrical 
A)  Linear 
B)  Binomial 
C)  Syntax 
D)  Asymmetrical

Question 8

Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)?

Accepted Answer

A)  There are only two levels for this variable. 
B)  The data were not normally distributed. 
C)  Levene's test was significant. 
D)  The Kolmogorov-Smirnov test was not significant. 
A)  There are only two levels for this variable. 
B)  The data were not normally distributed. 
C)  Levene's test was significant. 
D)  The Kolmogorov-Smirnov test was not significant.

Question 9

If you were investigating mental alertness when exposed to prolonged periods of sleep deprivation, what would be the most appropriate contrast to use if you were interested in the reduction in alertness from hour to hour (e.g. 1 vs. 2 h, 2 vs. 3 h, 3 vs. 4 h, etc.)?

Accepted Answer

A)  Repeated 
B)  Simple 
C)  Helmert 
D)  Deviation 
A)  Repeated 
B)  Simple 
C)  Helmert 
D)  Deviation

Question 10

If one or more of the conditions was significant, what would be the next appropriate step?

Accepted Answer

A)  Transform the data to stabilize the variance between the groups. 
B)  No action is required as a mixed design ANOVA is stable enough to withstand a heterogeneous result. 
C)  A non-parametric equivalent to a mixed design ANOVA is required. 
D)  None of the above actions are appropriate. 
A)  Transform the data to stabilize the variance between the groups. 
B)  No action is required as a mixed design ANOVA is stable enough to withstand a heterogeneous result. 
C)  A non-parametric equivalent to a mixed design ANOVA is required. 
D)  None of the above actions are appropriate.

Question 11

Examine the within-group effects table. Which conditions were significant?

Accepted Answer

A)  Shoe 
B)  Shoe × platform 
C)  Platform 
D)  Gender × shoe × platform 
A)  Shoe 
B)  Shoe × platform 
C)  Platform 
D)  Gender × shoe × platform

Question 12

Overall, how would you summarize the data presented in this example?

Accepted Answer

A)  The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position. 
B)  The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position. 
C)  The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position. 
D)  The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position. 
A)  The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position. 
B)  The more cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position. 
C)  The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were not aware of the force platform position. 
D)  The less cushioning in the shoe, the greater the reduction in force exerted, which was reduced further when the participants were aware of the force platform position.

Question 13

Analyse the following output box. What can be deduced from the results of Levene's test?

Accepted Answer

A)  All the values are significant. 
B)  All the values are not significant. 
C)  With the exception of the barefoot unseen condition, all the values are significant. 
D)  With the exception of the barefoot unseen condition, all the values are not significant. 
A)  All the values are significant. 
B)  All the values are not significant. 
C)  With the exception of the barefoot unseen condition, all the values are significant. 
D)  With the exception of the barefoot unseen condition, all the values are not significant.

Question 14

How many levels were measured on the running status variable?

Accepted Answer

A)  2 
B)  3 
C)  4 
A)  2 
B)  3 
C)  4

Question 15

Which of the following are characteristics of a mixed model ANOVA? (You may select more than one option.)

Accepted Answer

A)  Between-groups effects 
B)  Within-groups effects 
C)  Minimum of two independent variables 
D)  Maximum of two independent variables 
A)  Between-groups effects 
B)  Within-groups effects 
C)  Minimum of two independent variables 
D)  Maximum of two independent variables

Question 16

Ten experienced and ten novice distance runners (running status) were asked to run four marathons. During each run, a different carbohydrate solution (concentration) was consumed (flavoured water, placebo; 3% solution, low dose; 6% solution, medium dose; 9% solution, high dose) and race time was recorded. How many independent variables were measured?

Accepted Answer

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

Question 17

Which variable would be considered the between-groups variable?

Accepted Answer

A)  Running status 
B)  Concentration 
C)  Flavoured water (placebo) 
D)  9% solution (high dose) 
A)  Running status 
B)  Concentration 
C)  Flavoured water (placebo) 
D)  9% solution (high dose)

Question 18

If you wanted to run a simple contrast on the force exerted when running over a force platform and you used the barefoot trial as control, where would it be best to position it in the SPSS data editor?

Accepted Answer

A)  As the first data set 
B)  As the second data set 
C)  As the third data set 
D)  As the first or third data set 
A)  As the first data set 
B)  As the second data set 
C)  As the third data set 
D)  As the first or third data set

Question 19

When running a mixed design ANOVA for a particular experiment a significant Levene's test is found. What is the most likely cause?

Accepted Answer

A)  Outlying data points / observations 
B)  Similar variance between the data sets 
C)  Data are normally distributed 
D)  Sphericity cannot be assumed 
A)  Outlying data points / observations 
B)  Similar variance between the data sets 
C)  Data are normally distributed 
D)  Sphericity cannot be assumed

Question 20

What do the between-group effects tell us about the gender variable?

Accepted Answer

A)  There is no significant difference between male and female participants. 
B)  There is a significant difference between male and female participants. 
C)  There is significant difference between male and female participants when associated with the platform variable. 
D)  The results were marginally non-significant. 
A)  There is no significant difference between male and female participants. 
B)  There is a significant difference between male and female participants. 
C)  There is significant difference between male and female participants when associated with the platform variable. 
D)  The results were marginally non-significant.

If specific hypotheses to particular research questions are required, which of the following would be most appropriate?

If you were to introduce an additional variable called 'force platform status' which denoted whether the force platform was visible to the participants or not, how many experimental conditions would there be?

Calculate the r-value (effect size) for the platform variable contrast assuming that F(1,df_R) = 57.1 and df_R = 14.

What are the principal assumptions of a mixed design ANOVA? (You may select more than one option.)

What does the within-groups table refer to?

Which variable would be considered the within-groups variable?

A mixed design ANOVA is based on which type of model?

Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)?

If you were investigating mental alertness when exposed to prolonged periods of sleep deprivation, what would be the most appropriate contrast to use if you were interested in the reduction in alertness from hour to hour (e.g. 1 vs. 2 h, 2 vs. 3 h, 3 vs. 4 h, etc.)?

If one or more of the conditions was significant, what would be the next appropriate step?

Examine the within-group effects table. Which conditions were significant?

Overall, how would you summarize the data presented in this example?

Analyse the following output box. What can be deduced from the results of Levene's test?

How many levels were measured on the running status variable?

Which of the following are characteristics of a mixed model ANOVA? (You may select more than one option.)

Which variable would be considered the between-groups variable?

If you wanted to run a simple contrast on the force exerted when running over a force platform and you used the barefoot trial as control, where would it be best to position it in the SPSS data editor?

When running a mixed design ANOVA for a particular experiment a significant Levene's test is found. What is the most likely cause?

What do the between-group effects tell us about the gender variable?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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

Glm 3: Factorial Designs

Glm 4: Repeated-Measures 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 16: Glm 5: Mixed Designs

If specific hypotheses to particular research questions are required, which of the following would be most appropriate?

If you were to introduce an additional variable called 'force platform status' which denoted whether the force platform was visible to the participants or not, how many experimental conditions would there be?

Calculate the r-value (effect size) for the platform variable contrast assuming that F(1,dfR) = 57.1 and dfR = 14.

What are the principal assumptions of a mixed design ANOVA? (You may select more than one option.)

What does the within-groups table refer to?

Which variable would be considered the within-groups variable?

A mixed design ANOVA is based on which type of model?

Analyse the SPSS file by running a mixed design ANOVA with a simple contrast for all three independent variables. You should see the following table. Why is there not a Mauchley's test significance value for the platform variable (i.e. whether the participants could see the force platform or not)?

If you were investigating mental alertness when exposed to prolonged periods of sleep deprivation, what would be the most appropriate contrast to use if you were interested in the reduction in alertness from hour to hour (e.g. 1 vs. 2 h, 2 vs. 3 h, 3 vs. 4 h, etc.)?

If one or more of the conditions was significant, what would be the next appropriate step?

Examine the within-group effects table. Which conditions were significant?

Overall, how would you summarize the data presented in this example?

Analyse the following output box. What can be deduced from the results of Levene's test?

How many levels were measured on the running status variable?

Which of the following are characteristics of a mixed model ANOVA? (You may select more than one option.)

Which variable would be considered the between-groups variable?

If you wanted to run a simple contrast on the force exerted when running over a force platform and you used the barefoot trial as control, where would it be best to position it in the SPSS data editor?

When running a mixed design ANOVA for a particular experiment a significant Levene's test is found. What is the most likely cause?

What do the between-group effects tell us about the gender variable?

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

The Linear Model Regression

Comparing Two Means

Moderation, Mediation and Multicategory Predictors

Glm 1: Comparing Several Independent Means

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

Glm 3: Factorial Designs

Glm 4: Repeated-Measures 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 r-value (effect size) for the platform variable contrast assuming that F(1,df_R) = 57.1 and df_R = 14.