Question 1

Which of the following is a source of variance in a three-way repeated-measures ANOVA?

Accepted Answer

A) The three-way interaction 
B) The two-way interactions 
C) All of these 
D) The independent variables 
A) The three-way interaction 
B) The two-way interactions 
C) All of these 
D) The independent variables

Question 2

Which of the following is a test for Sphericity?

Accepted Answer

A) Fields test. 
B) t-test. 
C) Mauchly's test. 
D) Wald's test. 
A) Fields test. 
B) t-test. 
C) Mauchly's test. 
D) Wald's test.

Question 3

A medical researcher wanted to test the impact of four different pain-relief drugs ('Placebo','Drug X','Drug Z' and 'Drug Y')on a group of twenty randomly selected patients with a long-term chronic illness.He wanted to compare the impact of each drug on each individual patient's rating of pain and across the group of patients,as well as any interaction effects. What sort of test design best suits this study?

Accepted Answer

A) Independent factorial design 
B) ANOVA 
C) Repeated-measures factorial design 
D) Multiple linear regression. 
A) Independent factorial design 
B) ANOVA 
C) Repeated-measures factorial design 
D) Multiple linear regression.

Question 4

Which of the following regarding the assumption of sphericity is false?

Accepted Answer

A) When sphericity is violated,we need to adjust the degrees of freedom for any F-ratios affected by the violation. 
B) The effect of violating sphericity is a loss of power (i.e.,an increased probability of a Type II error). 
C) Sphericity does not affect post hoc tests. 
D) When sphericity is violated,the Bonferroni post hoc test can be used. 
A) When sphericity is violated,we need to adjust the degrees of freedom for any F-ratios affected by the violation. 
B) The effect of violating sphericity is a loss of power (i.e.,an increased probability of a Type II error). 
C) Sphericity does not affect post hoc tests. 
D) When sphericity is violated,the Bonferroni post hoc test can be used.

Question 5

What is Repeated-measures factorial design?

Accepted Answer

A) An experiment,which compares the means of two or more categorical predictors,each of which is measured using different entities in all conditions. 
B) An experiment,which compares the means of two or more categorical predictors,each of which is measured using the same entities in all conditions. 
C) An experiment,which compares the means of one categorical predictor,which is measured using the same entities in all conditions. 
D) An experiment,which compares the means of one categorical predictor,which is measured using different entities in all conditions. 
A) An experiment,which compares the means of two or more categorical predictors,each of which is measured using different entities in all conditions. 
B) An experiment,which compares the means of two or more categorical predictors,each of which is measured using the same entities in all conditions. 
C) An experiment,which compares the means of one categorical predictor,which is measured using the same entities in all conditions. 
D) An experiment,which compares the means of one categorical predictor,which is measured using different entities in all conditions.

Question 6

What is Sphericity?

Accepted Answer

A) A form of compound symmetry,which assumes that the variances of the difference between data taken from the same participant being tested are equal. 
B) A form of compound symmetry,which does not assume that the variances of the difference between data taken from the same participant being tested are equal. 
C) A form of parallel symmetry,which assumes that the errors of the difference between data taken from the same participant being tested are equal. 
D) A form of compound symmetry,which assumes that the errors of the difference between data taken from the same participant being tested are unequal. 
A) A form of compound symmetry,which assumes that the variances of the difference between data taken from the same participant being tested are equal. 
B) A form of compound symmetry,which does not assume that the variances of the difference between data taken from the same participant being tested are equal. 
C) A form of parallel symmetry,which assumes that the errors of the difference between data taken from the same participant being tested are equal. 
D) A form of compound symmetry,which assumes that the errors of the difference between data taken from the same participant being tested are unequal.

Question 7

When entering data for a repeated-measures design in SPSS:

Accepted Answer

A) Each row of the data editor should represent data from one entity,while each column represents a coding variable. 
B) It doesn't matter how you enter repeated-measures data into SPSS. 
C) Each row of the data editor should represent data from one entity,while each column represents a level of a variable. 
D) Each row of the data editor should represent a level of a variable,while each column represents data from one entity. 
A) Each row of the data editor should represent data from one entity,while each column represents a coding variable. 
B) It doesn't matter how you enter repeated-measures data into SPSS. 
C) Each row of the data editor should represent data from one entity,while each column represents a level of a variable. 
D) Each row of the data editor should represent a level of a variable,while each column represents data from one entity.

Question 8

Imagine we were interested in the effect of supporters singing on the number of goals scored by soccer teams.We took 10 groups of supporters of 10 different soccer teams and asked them to attend three home games,one at which they were instructed to sing in support of their team (e.g.,'Come on,you Reds!'),one at which they were instructed to sing negative songs towards the opposition (e.g.,'You're getting sacked in the morning!')and one at which they were instructed to sit quietly.The order of chanting was counterbalanced across groups.Which of the following could be used to analyse these data?

Accepted Answer

A) One-way between-groups ANOVA 
B) Three-way repeated-measures ANOVA 
C) Loglinear analysis 
D) One-way repeated-measures ANOVA 
A) One-way between-groups ANOVA 
B) Three-way repeated-measures ANOVA 
C) Loglinear analysis 
D) One-way repeated-measures ANOVA

Question 9

Imagine we were interested in the effect of supporters singing on the number of goals scored by soccer teams.We took 10 groups of supporters of 10 different soccer teams and asked them to attend three home games,one at which they were instructed to sing in support of their team (e.g.,'Come on,you reds!'),one at which they were instructed to sing negative songs towards the opposition (e.g.,'You're getting sacked in the morning!')and one at which they were instructed to sit quietly.The order of chanting was counterbalanced across groups.A one-way repeated-measures ANOVA was conducted and post hoc tests were selected.Looking at the output below,which of the following sentences regarding the pairwise comparisons is correct?

Accepted Answer

A) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition and compared to when they did not sing at all.Soccer teams did not significantly differ in the number of goals scored when their supporters sang negative songs compared to when they did not sing at all. 
B) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition,but not compared to when they did not sing at all.Soccer teams scored significantly fewer goals when their supporters sang negative songs compared to when they did not sing at all. 
C) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition,but not compared to when they did not sing at all.Soccer teams did not significantly differ in the number of goals scored when their supporters sang negative songs compared to when they did not sing at all. 
D) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition and when they did not sing at all.Soccer teams scored significantly more goals when their supporters sang negative songs compared to when they did not sing at all. 
A) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition and compared to when they did not sing at all.Soccer teams did not significantly differ in the number of goals scored when their supporters sang negative songs compared to when they did not sing at all. 
B) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition,but not compared to when they did not sing at all.Soccer teams scored significantly fewer goals when their supporters sang negative songs compared to when they did not sing at all. 
C) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition,but not compared to when they did not sing at all.Soccer teams did not significantly differ in the number of goals scored when their supporters sang negative songs compared to when they did not sing at all. 
D) Soccer teams scored significantly more goals when their supporters sang positive songs towards them compared to when they sang negative songs towards the opposition and when they did not sing at all.Soccer teams scored significantly more goals when their supporters sang negative songs compared to when they did not sing at all.

Question 10

Which of these are potential sources of bias in a Repeated measures factorial design?

Accepted Answer

A) Outliers and normality. 
B) Non-normality and homoscedasticity. 
C) Linearity and homoscedasticity. 
D) Outliers and non-normality. 
A) Outliers and normality. 
B) Non-normality and homoscedasticity. 
C) Linearity and homoscedasticity. 
D) Outliers and non-normality.

Question 11

How many effects will there be from a two-way repeated-measures ANOVA?

Accepted Answer

A) 3 
B) 2 
C) It will vary depending on how many levels of your independent variable there are. 
D) 4 
A) 3 
B) 2 
C) It will vary depending on how many levels of your independent variable there are. 
D) 4

Which of the following is a source of variance in a three-way repeated-measures ANOVA?

Which of the following is a test for Sphericity?

Which of the following regarding the assumption of sphericity is false?

What is Repeated-measures factorial design?

What is Sphericity?

When entering data for a repeated-measures design in SPSS:

Which of these are potential sources of bias in a Repeated measures factorial design?

How many effects will there be from a two-way repeated-measures ANOVA?

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 3: Factorial 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 15: Glm 4: Repeated-Measures Designs

Which of the following is a source of variance in a three-way repeated-measures ANOVA?

Which of the following is a test for Sphericity?

Which of the following regarding the assumption of sphericity is false?

What is Repeated-measures factorial design?

What is Sphericity?

When entering data for a repeated-measures design in SPSS:

Which of these are potential sources of bias in a Repeated measures factorial design?

How many effects will there be from a two-way repeated-measures ANOVA?

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 3: Factorial 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