Question 1

For a repeated-measures design, the differences between treatments may be caused by a treatment effect or by sampling error (random factors), but they cannot be caused by individual differences.

Accepted Answer

A) True 
 B)False

Question 2

A repeated-measures study uses a sample of n = 15 participants to evaluate the mean differences among four treatment conditions.In the analysis of variance for this study, what is the value for dfbetween treatments?

Accepted Answer

A) 3 
B) 4 
C) 5 
D) 59

Question 3

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants, what are the degrees of freedom for the repeated-measures F-ratio?

Accepted Answer

A) 2, 6 
B) 2, 9 
C) 2, 11 
D) 3, 11

Question 4

A repeated-measures analysis of variance produces SStotal = 40 and SSwithin treatments  = 10.For this analysis, what is SSbetween treatments?

Accepted Answer

A) 30 
B) 50 
C) 400 
D) cannot be determined without additional information

Question 5

For the following data, what is SSbetween subjects?

Accepted Answer

A)  2 
B)  3 
C)  6 
D)  12

Question 6

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the denominator of the F-ratio.

Accepted Answer

A) They do not exist because the same individuals participate in all of the treatments. 
B) They are measured and subtracted out in the second stage of the analysis. 
C) Individual differences contribute to the variance in the denominator. 
D) None of the other options accurately describes individual differences in the denominator.

Question 7

One major difference between the independent?measures ANOVA and the repeated?measures analysis is that SStotal is calculated differently for each type of ANOVA.

Accepted Answer

A) True 
 B)False

Question 8

A repeated-measures study comparing three treatment conditions with a sample of n = 10 participants would produce an F-ratio with df = 2, 18.

Accepted Answer

A) True 
 B)False

Question 9

The following table shows the results of a repeated-measures ANOVA.Based on this table, what is the value for $\eta$2, the percentage of variance accounted for by the treatments?

Accepted Answer

A)  $ 22 / 30 $ 
B)  $ 22 / 50 $ 
C)  $ 22 / 58 $ 
D)  $ 22 / 80 $

Question 10

For a repeated-measures ANOVA if SSbetween subjects = 40 and SSwithin treatments = 70, then
SSerror = 30.

Accepted Answer

A) True 
 B)False

Question 11

A repeated-measures study compares three treatments with a sample of n = 12 subjects.For the analysis of variance, dferror = 33.

Accepted Answer

A) True 
 B)False

Question 12

For a repeated-measures study, if there are no systematic treatment effects (H0 is true), then the numerator and denominator of the F-ratio are both measuring the same sources of variance.

Accepted Answer

A) True 
 B)False

Question 13

The denominator of the repeated-measures F-ratio is intended to measure differences that exist without any systematic treatment effect or any systematic individual differences.

Accepted Answer

A) True 
 B)False

Question 14

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the numerator of the F-ratio.

Accepted Answer

A) They do not exist because the same individuals participate in all of the treatments. 
B) They are measured and subtracted out in the second stage of the analysis. 
C) Individual differences contribute to the variance in the numerator. 
D) None of the other options accurately describes individual differences in the numerator.

Question 15

A repeated-measures ANOVA produces SSbetween treatments  = 30 and MSbetween treatments = 10.In this analysis, how many treatment conditions are being compared?

Accepted Answer

A) 3 
B) 4 
C) 5 
D) 20

Question 16

The following table shows the results of a repeated-measures analysis of variance comparing three treatment conditions with a sample of n = 10 participants.Note that several values are missing in the table.What is the missing value for the F-ratio?

Accepted Answer

A)  4 
B)  7 
C)  10 
D)  14

Question 17

A repeated-measures analysis of variance produces SSwithin treatments = 24 and SSbetween treatments  = 40.For this analysis, what is the value of SSerror?

Accepted Answer

A) 16 
B) 24 
C) 64 
D) cannot be determined from the information provided

Question 18

In a repeated-measures analysis of variance, how does the magnitude of the mean differences from one treatment to another contribute to the F-ratio?

Accepted Answer

A) The mean differences add to the numerator of the F-ratio 
B) The mean differences add to the denominator of the F-ratio 
C) The mean differences add to both the numerator and the denominator of the F-ratio 
D) The sample mean differences do not influence the F-ratio.

Question 19

In a repeated-measures ANOVA the variability within treatments is divided into two components.What are they?

Accepted Answer

A) between subjects and error 
B) between subjects and between treatments 
C) between treatments and error 
D) total variability and error

Question 20

For the following data, what is SStotal?

Accepted Answer

A)  28 
B)  18 
C)  10 
D)  6

Exam 13: Repeated-Measures Anova

For a repeated-measures design, the differences between treatments may be caused by a treatment effect or by sampling error (random factors), but they cannot be caused by individual differences.

A repeated-measures study uses a sample of n = 15 participants to evaluate the mean differences among four treatment conditions.In the analysis of variance for this study, what is the value for df_{between treatments}?

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants, what are the degrees of freedom for the repeated-measures F-ratio?

A repeated-measures analysis of variance produces SS_total = 40 and SS_{within treatments} = 10.For this analysis, what is SS_{between treatments}?

For the following data, what is SS_{between subjects}?

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the denominator of the F-ratio.

One major difference between the independent?measures ANOVA and the repeated?measures analysis is that SS_total is calculated differently for each type of ANOVA.

A repeated-measures study comparing three treatment conditions with a sample of n = 10 participants would produce an F-ratio with df = 2, 18.

For a repeated-measures ANOVA if SS_{between subjects} = 40 and SS_{within treatments} = 70, then SS_error = 30.

A repeated-measures study compares three treatments with a sample of n = 12 subjects.For the analysis of variance, df_error = 33.

For a repeated-measures study, if there are no systematic treatment effects (H₀ is true), then the numerator and denominator of the F-ratio are both measuring the same sources of variance.

The denominator of the repeated-measures F-ratio is intended to measure differences that exist without any systematic treatment effect or any systematic individual differences.

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the numerator of the F-ratio.

A repeated-measures ANOVA produces SS_{between treatments} = 30 and MS_{between treatments} = 10.In this analysis, how many treatment conditions are being compared?

The following table shows the results of a repeated-measures analysis of variance comparing three treatment conditions with a sample of n = 10 participants.Note that several values are missing in the table.What is the missing value for the F-ratio?

A repeated-measures analysis of variance produces SS_{within treatments} = 24 and SS_{between treatments} = 40.For this analysis, what is the value of SS_error?

In a repeated-measures analysis of variance, how does the magnitude of the mean differences from one treatment to another contribute to the F-ratio?

In a repeated-measures ANOVA the variability within treatments is divided into two components.What are they?

For the following data, what is SS_total?

Exam 13: Repeated-Measures Anova

For a repeated-measures design, the differences between treatments may be caused by a treatment effect or by sampling error (random factors), but they cannot be caused by individual differences.

A repeated-measures study uses a sample of n = 15 participants to evaluate the mean differences among four treatment conditions.In the analysis of variance for this study, what is the value for dfbetween treatments?

For a repeated-measures study comparing three treatment conditions with a sample of n = 4 participants, what are the degrees of freedom for the repeated-measures F-ratio?

A repeated-measures analysis of variance produces SStotal = 40 and SSwithin treatments = 10.For this analysis, what is SSbetween treatments?

For the following data, what is SSbetween subjects?

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the denominator of the F-ratio.

One major difference between the independent?measures ANOVA and the repeated?measures analysis is that SStotal is calculated differently for each type of ANOVA.

A repeated-measures study comparing three treatment conditions with a sample of n = 10 participants would produce an F-ratio with df = 2, 18.

The following table shows the results of a repeated-measures ANOVA.Based on this table, what is the value for η\etaη 2, the percentage of variance accounted for by the treatments?

For a repeated-measures ANOVA if SSbetween subjects = 40 and SSwithin treatments = 70, then SSerror = 30.

A repeated-measures study compares three treatments with a sample of n = 12 subjects.For the analysis of variance, dferror = 33.

For a repeated-measures study, if there are no systematic treatment effects (H0 is true), then the numerator and denominator of the F-ratio are both measuring the same sources of variance.

The denominator of the repeated-measures F-ratio is intended to measure differences that exist without any systematic treatment effect or any systematic individual differences.

In an independent-measures ANOVA, individual differences contribute to the variance in the numerator and in the denominator of the F-ratio.For a repeated-measures ANOVA, what happens to the individual differences in the numerator of the F-ratio.

A repeated-measures ANOVA produces SSbetween treatments = 30 and MSbetween treatments = 10.In this analysis, how many treatment conditions are being compared?

The following table shows the results of a repeated-measures analysis of variance comparing three treatment conditions with a sample of n = 10 participants.Note that several values are missing in the table.What is the missing value for the F-ratio?

A repeated-measures analysis of variance produces SSwithin treatments = 24 and SSbetween treatments = 40.For this analysis, what is the value of SSerror?

In a repeated-measures analysis of variance, how does the magnitude of the mean differences from one treatment to another contribute to the F-ratio?

In a repeated-measures ANOVA the variability within treatments is divided into two components.What are they?

For the following data, what is SStotal?

A repeated-measures study uses a sample of n = 15 participants to evaluate the mean differences among four treatment conditions.In the analysis of variance for this study, what is the value for df_{between treatments}?

A repeated-measures analysis of variance produces SS_total = 40 and SS_{within treatments} = 10.For this analysis, what is SS_{between treatments}?

For the following data, what is SS_{between subjects}?

One major difference between the independent?measures ANOVA and the repeated?measures analysis is that SS_total is calculated differently for each type of ANOVA.

For a repeated-measures ANOVA if SS_{between subjects} = 40 and SS_{within treatments} = 70, then SS_error = 30.

A repeated-measures study compares three treatments with a sample of n = 12 subjects.For the analysis of variance, df_error = 33.

For a repeated-measures study, if there are no systematic treatment effects (H₀ is true), then the numerator and denominator of the F-ratio are both measuring the same sources of variance.

A repeated-measures ANOVA produces SS_{between treatments} = 30 and MS_{between treatments} = 10.In this analysis, how many treatment conditions are being compared?

A repeated-measures analysis of variance produces SS_{within treatments} = 24 and SS_{between treatments} = 40.For this analysis, what is the value of SS_error?

For the following data, what is SS_total?