Question 1

If sphericity cannot be assumed, which of the following might be appropriate?

Accepted Answer

A)  Use of a correction factor, such as Greenhouse-Geisser or Huynh-Felt 
B)  Use a multivariate statistic 
C)  Multilevel model 
D)  A or B only 
A)  Use of a correction factor, such as Greenhouse-Geisser or Huynh-Felt 
B)  Use a multivariate statistic 
C)  Multilevel model 
D)  A or B only A

Question 2

Which of the following is not a characteristic associated with a repeated-measures research design?

Accepted Answer

A)  Between groups 
B)  Within groups 
C)  Same entities use 
D)  Related design 
A)  Between groups 
B)  Within groups 
C)  Same entities use 
D)  Related design A

Question 3

What would be the most appropriate equation to calculate the residual degrees of freedom (dfR)?

Accepted Answer

A)  dfR = dfW / dfM 
B)  dfR = dfM / dfW 
C)  dfR = dfW / dfT 
D)  dfR = dfT / dfM 
A)  dfR = dfW / dfM 
B)  dfR = dfM / dfW 
C)  dfR = dfW / dfT 
D)  dfR = dfT / dfM A

Question 4

To test sphericity of a data set Mauchley test is used, but what threshold is appropriate to assume sphericity is present?

Accepted Answer

A) > .05 B) < .05 C) < .01 D) < .001 A) > .05 B) < .05 C) < .01 D) < .001

Question 5

Calculate the value for dfM in the present example.

Accepted Answer

A)  2 
B)  3 
C)  15 
D)  16 
A)  2 
B)  3 
C)  15 
D)  16

Question 6

Calculate the within sum of squares (SSW).

Accepted Answer

A)  1,651,775 
B)  651,775 
C)  775 
D)  75 
A)  1,651,775 
B)  651,775 
C)  775 
D)  75

Question 7

Calculate the F-statistic.

Accepted Answer

A)  368.6 
B)  489.1 
C)  754.0 
D)  124.7 
A)  368.6 
B)  489.1 
C)  754.0 
D)  124.7

Question 8

Which of the following methods of analysis is best represented by the description 'tests specific hypotheses by partitioning the variance'?

Accepted Answer

A)  Contrast 
B)  Post hoc tests 
C)  MANOVA 
D)  z-score 
A)  Contrast 
B)  Post hoc tests 
C)  MANOVA 
D)  z-score

Question 9

Calculate the value for dfR.

Accepted Answer

A)  30 
B)  16 
C)  2 
D)  14 
A)  30 
B)  16 
C)  2 
D)  14

Question 10

Which of the following statements is most accurate?

Accepted Answer

A)  If the F-statistic is greater than the critical value (based on the information presented in Q19) then the p-value will be less than .05. 
B)  If the F-statistic is less than the critical value (based on the information presented in Q19) then the p-value will be greater than .05. 
C)  If the F-statistic is greater than the critical value (based on the information presented in Q19) then the p-value will be greater than .05. 
D)  All of the above are possible outcomes. 
A)  If the F-statistic is greater than the critical value (based on the information presented in Q19) then the p-value will be less than .05. 
B)  If the F-statistic is less than the critical value (based on the information presented in Q19) then the p-value will be greater than .05. 
C)  If the F-statistic is greater than the critical value (based on the information presented in Q19) then the p-value will be greater than .05. 
D)  All of the above are possible outcomes.

Question 11

If sphericity is violated which of the following post hoc tests is not advised?

Accepted Answer

A)  Tukey's honestly significant difference (HS
D)  
B)  Bonferroni 
C)  Games-Howell 
D)  Tukey's wholly significant difference (WS
D)  
A)  Tukey's honestly significant difference (HS
D)  
B)  Bonferroni 
C)  Games-Howell 
D)  Tukey's wholly significant difference (WS
D)

Question 12

Which of the following is an example of a one-way repeated-measures research design?

Accepted Answer

A)  Twenty rugby league players volunteered for a resistance training study. A one-repetition bench press was measured before the training began, at week 3 and then again in week 6 to evaluate strength gains. 
B)  Twenty rugby league players volunteered for a strength training study. Ten players were randomly allocated to a resistance training programme and ten randomly allocated to a plyometric training group. A one-repetition bench press was measured before the training began, at week 3 and then again in week 6 to evaluate strength gains from each method of training. 
C)  Twenty rugby league players volunteered for a strength training study. Ten players were randomly allocated to a resistance training programme and ten randomly allocated to a plyometric training group. A one-repetition bench press was measured at the end of the 6 weeks to evaluate strength gains from each method of training. 
D)  None of the descriptions are appropriate for a one-way repeated-measures research design. 
A)  Twenty rugby league players volunteered for a resistance training study. A one-repetition bench press was measured before the training began, at week 3 and then again in week 6 to evaluate strength gains. 
B)  Twenty rugby league players volunteered for a strength training study. Ten players were randomly allocated to a resistance training programme and ten randomly allocated to a plyometric training group. A one-repetition bench press was measured before the training began, at week 3 and then again in week 6 to evaluate strength gains from each method of training. 
C)  Twenty rugby league players volunteered for a strength training study. Ten players were randomly allocated to a resistance training programme and ten randomly allocated to a plyometric training group. A one-repetition bench press was measured at the end of the 6 weeks to evaluate strength gains from each method of training. 
D)  None of the descriptions are appropriate for a one-way repeated-measures research design.

Question 13

Calculate the mean sum of squares of the model (MSM) or the average amount of variance explained by the model.

Accepted Answer

A)  793596.54 
B)  847612.47 
C)  333478.15 
D)  972145.56 
A)  793596.54 
B)  847612.47 
C)  333478.15 
D)  972145.56

Question 14

If we wished to incorporate the time of day in the experiment by having data collected at 8

Accepted Answer

A)  Two-way repeated-measures ANOVA
A.m., 12 noon and 4 p.m. for each condition (i.e. barefoot, basic cushioning and cushioned support), what type of test would we need to run? 
B)  Three-way repeated-measures ANOVA 
C)  Five-way repeated-measures ANOVA 
D)  None of the above are appropriate. 
A)  Two-way repeated-measures ANOVA
A.m., 12 noon and 4 p.m. for each condition (i.e. barefoot, basic cushioning and cushioned support), what type of test would we need to run? 
B)  Three-way repeated-measures ANOVA 
C)  Five-way repeated-measures ANOVA 
D)  None of the above are appropriate.

Question 15

Calculate the residual mean sum of squares (MSR) or the average amount of variance explained by the model or the unsystematic variation.

Accepted Answer

A)  2152.7 
B)  4896.4 
C)  7841.2 
D)  1452.9 
A)  2152.7 
B)  4896.4 
C)  7841.2 
D)  1452.9

Question 16

Based on the adaptation to the experiment, what would be the main effects examined? (You may select more than one answer.)

Accepted Answer

A)  Shoe type 
B)  Time of day 
C)  Shoe × time of day 
D)  None of the above are appropriate. 
A)  Shoe type 
B)  Time of day 
C)  Shoe × time of day 
D)  None of the above are appropriate.

Question 17

Calculate the mean sum of squares (SSM).

Accepted Answer

A)  1,587,193 
B)  587,193 
C)  193 
D)  93 
A)  1,587,193 
B)  587,193 
C)  193 
D)  93

Question 18

Sphericity refers to the assumption that the relationship between pairs of experimental conditions is similar, but how many trials are required for sphericity to become an issue?

Accepted Answer

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

Question 19

What would be the most appropriate equation to calculate the model degrees of freedom (dfM)?

Accepted Answer

A)  dfM = k - 1 
B)  dfM = k + 1 
C)  dfM = k × 1 
D)  dfM = k / 1 
A)  dfM = k - 1 
B)  dfM = k + 1 
C)  dfM = k × 1 
D)  dfM = k / 1

Question 20

If sphericity is not assumed, what needs to be adjusted to account for the violation and what impact does it have on the F-ratio?

Accepted Answer

A)  The degrees of freedom need to be adjusted, which makes the F-ratio more conservative to protect against Type I error 
B)  The degrees of freedom need to be adjusted, which makes the F-ratio more liberal to protect against Type II error 
C)  The mean sum of squares needs to be adjusted, which makes the F-ratio more conservative to protect against Type I error 
D)  The mean sum of squares needs to be adjusted, which makes the F-ratio more liberal to protect against Type II error 
A)  The degrees of freedom need to be adjusted, which makes the F-ratio more conservative to protect against Type I error 
B)  The degrees of freedom need to be adjusted, which makes the F-ratio more liberal to protect against Type II error 
C)  The mean sum of squares needs to be adjusted, which makes the F-ratio more conservative to protect against Type I error 
D)  The mean sum of squares needs to be adjusted, which makes the F-ratio more liberal to protect against Type II error

Exam 15: Glm 4: Repeated-Measures Designs

If sphericity cannot be assumed, which of the following might be appropriate?

Which of the following is not a characteristic associated with a repeated-measures research design?

What would be the most appropriate equation to calculate the residual degrees of freedom (dfR)?

To test sphericity of a data set Mauchley test is used, but what threshold is appropriate to assume sphericity is present?

Calculate the value for dfM in the present example.

Calculate the within sum of squares (SSW).

Calculate the F-statistic.

Which of the following methods of analysis is best represented by the description 'tests specific hypotheses by partitioning the variance'?

Calculate the value for dfR.

Which of the following statements is most accurate?

If sphericity is violated which of the following post hoc tests is not advised?

Which of the following is an example of a one-way repeated-measures research design?

Calculate the mean sum of squares of the model (MSM) or the average amount of variance explained by the model.

If we wished to incorporate the time of day in the experiment by having data collected at 8

Calculate the residual mean sum of squares (MSR) or the average amount of variance explained by the model or the unsystematic variation.

Based on the adaptation to the experiment, what would be the main effects examined? (You may select more than one answer.)

Calculate the mean sum of squares (SSM).

Sphericity refers to the assumption that the relationship between pairs of experimental conditions is similar, but how many trials are required for sphericity to become an issue?

What would be the most appropriate equation to calculate the model degrees of freedom (dfM)?

If sphericity is not assumed, what needs to be adjusted to account for the violation and what impact does it have on the F-ratio?

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 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

What would be the most appropriate equation to calculate the residual degrees of freedom (df_R)?

Calculate the value for df_M in the present example.

Calculate the within sum of squares (SS_W).

Calculate the value for df_R.

Calculate the mean sum of squares of the model (MS_M) or the average amount of variance explained by the model.

Calculate the residual mean sum of squares (MS_R) or the average amount of variance explained by the model or the unsystematic variation.

Calculate the mean sum of squares (SS_M).

What would be the most appropriate equation to calculate the model degrees of freedom (df_M)?