Question 1

Where were differences between the data sets? (You may select more than one option.)

Accepted Answer

A)  Pre and Post 
B)  Pre and Post + 12 
C)  Post and Post + 12 
D)  No differences were identified. 
A)  Pre and Post 
B)  Pre and Post + 12 
C)  Post and Post + 12 
D)  No differences were identified.

Question 2

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Accepted Answer

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

Question 3

Suppose you were interested in the longer-term effects of the imagery interventions and so you decide to get the experimental group to measure their anxiety scores using the SCAT questionnaire again, but this time 12 weeks later. What type of test might you use if you were interested in examining the variance at 0, 6 and 12 weeks?

Accepted Answer

A)  Kruskal-Wallis test 
B)  Friedman's test 
C)  Sign test 
D)  McNemar's test 
A)  Kruskal-Wallis test 
B)  Friedman's test 
C)  Sign test 
D)  McNemar's test

Question 4

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

Accepted Answer

A)  Control group pre-test score and experimental group post-test score 
B)  Control group post-test score and experimental group pre-test score 
C)  Control group pre-test score and experimental group pre-test score 
D)  Control group post test score and experimental group post-test score 
A)  Control group pre-test score and experimental group post-test score 
B)  Control group post-test score and experimental group pre-test score 
C)  Control group pre-test score and experimental group pre-test score 
D)  Control group post test score and experimental group post-test score

Question 5

What is the parametric equivalent of a Kruskal-Wallis test?

Accepted Answer

A)  One-way ANOVA 
B)  Repeated-measures ANOVA 
C)  Two-way ANOVA 
D)  Three-way ANOVA 
A)  One-way ANOVA 
B)  Repeated-measures ANOVA 
C)  Two-way ANOVA 
D)  Three-way ANOVA

Question 6

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

Accepted Answer

A)  U = 506, z = -0.830, p = .406 and U = 269.5, z = -2.682, p = .007 
B)  U = -0.830, z = 394, p = .406 and U = -2.682, z = 269.5, p = .007 
C)  U = 0.406, z = -0.830, p = 394 and U = 0.007, z = -2.682, p = 269.5 
D)  U = 394, z = 0.406, p = -.830 and U = 269.5, z = 0.007, p = -2.682 
A)  U = 506, z = -0.830, p = .406 and U = 269.5, z = -2.682, p = .007 
B)  U = -0.830, z = 394, p = .406 and U = -2.682, z = 269.5, p = .007 
C)  U = 0.406, z = -0.830, p = 394 and U = 0.007, z = -2.682, p = 269.5 
D)  U = 394, z = 0.406, p = -.830 and U = 269.5, z = 0.007, p = -2.682

Question 7

What factors are likely to influence the effect size? (You may select more than one.)

Accepted Answer

A)  Sample size 
B)  Significance 
C)  Population demographic 
D)  Sampling method 
A)  Sample size 
B)  Significance 
C)  Population demographic 
D)  Sampling method

Question 8

View the anxiety data (Sport Competitive Anxiety Test - SCAT) collected from a group of middle-distance runners. All the runners completed the questionnaire before being split into either a control group (who received no imagery intervention) or an experimental group (who received an imagery intervention). The anxiety scores were then measured again after 6 weeks. If we wanted to compare the control group results with the experimental group results, what type of research design would we use?

Accepted Answer

A)  Independent-groups design 
B)  Repeated-measures design 
C)  Dependent-groups design 
D)  Matched-pairs design 
A)  Independent-groups design 
B)  Repeated-measures design 
C)  Dependent-groups design 
D)  Matched-pairs design

Question 9

Calculate the effect size for the test conducted on the experimental group data (Q13).

Accepted Answer

A)  r = -.82 
B)  r = .72 
C)  r = -.62 
D)  r = .52 
A)  r = -.82 
B)  r = .72 
C)  r = -.62 
D)  r = .52

Question 10

If we wanted to compare the pre-test results with the post-test results, what type of research design would we use?

Accepted Answer

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

Question 11

Based on the answer to Q13, what should you do?

Accepted Answer

A)  Reject the null hypothesis. 
B)  Accept the null hypothesis. 
C)  Reject the research hypothesis. 
D)  None of the answers provided are acceptable. 
A)  Reject the null hypothesis. 
B)  Accept the null hypothesis. 
C)  Reject the research hypothesis. 
D)  None of the answers provided are acceptable.

Question 12

What were the effect sizes for the between group pre and post tests (see results from Q18)?

Accepted Answer

A)  r = .11 and r = .35 
B)  r = .15 and r = .42 
C)  r = .21 and r = .30 
D)  r = .25 and r = .30 
A)  r = .11 and r = .35 
B)  r = .15 and r = .42 
C)  r = .21 and r = .30 
D)  r = .25 and r = .30

Question 13

What were the effect sizes for the between group pre and post tests (see results from Q18)?

Accepted Answer

A)  r = .11 and r = .35 
B)  r = .15 and r = .42 
C)  r = .21 and r = .30 
D)  r = .25 and r = .30 
A)  r = .11 and r = .35 
B)  r = .15 and r = .42 
C)  r = .21 and r = .30 
D)  r = .25 and r = .30

Question 14

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Accepted Answer

A)  Ws = 1.5, z = -4.514, p s = -4.514, z = 1.5, p s = 1.5, z = -4.514, p = .000 
D)  Ws = -4.514, z = 1.5, p = .000 
A)  Ws = 1.5, z = -4.514, p s = -4.514, z = 1.5, p s = 1.5, z = -4.514, p = .000 
D)  Ws = -4.514, z = 1.5, p = .000

Question 15

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

Accepted Answer

A)  U = 506, z = -0.830, p = .406 and U = 269.5, z = -2.682, p = .007 
B)  U = -0.830, z = 394, p = .406 and U = -2.682, z = 269.5, p = .007 
C)  U = 0.406, z = -0.830, p = 394 and U = 0.007, z = -2.682, p = 269.5 
D)  U = 394, z = 0.406, p = -.830 and U = 269.5, z = 0.007, p = -2.682 
A)  U = 506, z = -0.830, p = .406 and U = 269.5, z = -2.682, p = .007 
B)  U = -0.830, z = 394, p = .406 and U = -2.682, z = 269.5, p = .007 
C)  U = 0.406, z = -0.830, p = 394 and U = 0.007, z = -2.682, p = 269.5 
D)  U = 394, z = 0.406, p = -.830 and U = 269.5, z = 0.007, p = -2.682

Question 16

Based on the results of the initial analysis, what would be the most appropriate test to run if you wanted to compare the pre-test results with the post-test results of each group (i.e. control group pre versus post test or experimental pre versus post-test)?

Accepted Answer

A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Paired-samples t-test 
D)  Independent t-test 
A)  Willcoxon test 
B)  Mann-Whitney test 
C)  Paired-samples t-test 
D)  Independent t-test

Question 17

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Accepted Answer

A)  Median 
B)  Mean 
C)  Mode 
D)  None of the above are appropriate. 
A)  Median 
B)  Mean 
C)  Mode 
D)  None of the above are appropriate.

Question 18

Based on the answer to Q13, what should you do?

Accepted Answer

A)  Reject the null hypothesis. 
B)  Accept the null hypothesis. 
C)  Reject the research hypothesis. 
D)  None of the answers provided are acceptable. 
A)  Reject the null hypothesis. 
B)  Accept the null hypothesis. 
C)  Reject the research hypothesis. 
D)  None of the answers provided are acceptable.

Question 19

Suppose you were interested in the longer-term effects of the imagery interventions and so you decide to get the experimental group to measure their anxiety scores using the SCAT questionnaire again, but this time 12 weeks later. What type of test might you use if you were interested in examining the variance at 0, 6 and 12 weeks?

Accepted Answer

A)  Kruskal-Wallis test 
B)  Friedman's test 
C)  Sign test 
D)  McNemar's test 
A)  Kruskal-Wallis test 
B)  Friedman's test 
C)  Sign test 
D)  McNemar's test

Question 20

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

Accepted Answer

A)  Ws = 163.5, z = 1.205, p = .228 
B)  Ws = 1.205, z = 163.5, p = .228 
C)  Ws = .228, z = 1.205, p = 163.5 
D)  Ws = 163.5, z = .228, p = 1.205 
A)  Ws = 163.5, z = 1.205, p = .228 
B)  Ws = 1.205, z = 163.5, p = .228 
C)  Ws = .228, z = 1.205, p = 163.5 
D)  Ws = 163.5, z = .228, p = 1.205

Where were differences between the data sets? (You may select more than one option.)

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

What is the parametric equivalent of a Kruskal-Wallis test?

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

What factors are likely to influence the effect size? (You may select more than one.)

Calculate the effect size for the test conducted on the experimental group data (Q13).

If we wanted to compare the pre-test results with the post-test results, what type of research design would we use?

Based on the answer to Q13, what should you do?

What were the effect sizes for the between group pre and post tests (see results from Q18)?

What were the effect sizes for the between group pre and post tests (see results from Q18)?

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

Based on the results of the initial analysis, what would be the most appropriate test to run if you wanted to compare the pre-test results with the post-test results of each group (i.e. control group pre versus post test or experimental pre versus post-test)?

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Based on the answer to Q13, what should you do?

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

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

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

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 7: Non-Parametric Models

Where were differences between the data sets? (You may select more than one option.)

If we wanted to compare the control group results with the experimental group results for the pre and post conditions, what type of research design would we use?

Analyse the group data by using a Kolmogorov-Smirnov test. Which data sets are not normally distributed ?

What is the parametric equivalent of a Kruskal-Wallis test?

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

What factors are likely to influence the effect size? (You may select more than one.)

Calculate the effect size for the test conducted on the experimental group data (Q13).

If we wanted to compare the pre-test results with the post-test results, what type of research design would we use?

Based on the answer to Q13, what should you do?

What were the effect sizes for the between group pre and post tests (see results from Q18)?

What were the effect sizes for the between group pre and post tests (see results from Q18)?

Run an appropriate test between the pre-test and post-test data of the experimental group. What is the result of the test?

Suppose you wanted to see if there was a difference between the participants in the control group and the experimental group for the pre-test and the post-test data. What is the correct expression for the test results?

Based on the results of the initial analysis, what would be the most appropriate test to run if you wanted to compare the pre-test results with the post-test results of each group (i.e. control group pre versus post test or experimental pre versus post-test)?

When using non-parametric tests, which measure of central tendency is preferred when summarizing a set of data?

Based on the answer to Q13, what should you do?

Run an appropriate test between the pre-test and post-test data of the control group. What is the result of the test?

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

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

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