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.

(True/False)

4.7/5

(38)

Question 21

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}?

(Multiple Choice)

4.8/5

(39)

Question 22

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?

(Multiple Choice)

4.8/5

(35)

Question 23

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

(Multiple Choice)

4.9/5

(30)

Question 24

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

(Multiple Choice)

4.8/5

(34)

Question 25

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.

(Multiple Choice)

4.7/5

(31)

Question 26

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.

(True/False)

4.8/5

(36)

Question 27

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

(True/False)

4.9/5

(35)

Question 28

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

(Multiple Choice)

4.9/5

(47)

Question 29

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

(True/False)

4.9/5

(28)

Question 30

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

(True/False)

4.9/5

(35)

Question 31

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.

(True/False)

4.9/5

(37)

Question 32

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.

(True/False)

4.7/5

(42)

Question 33

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.

(Multiple Choice)

4.8/5

(35)

Question 34

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

(Multiple Choice)

4.8/5

(37)

Question 35

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?

(Multiple Choice)

4.8/5

(33)

Question 36

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?

(Multiple Choice)

4.8/5

(46)

Question 37

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?

(Multiple Choice)

4.7/5

(42)

Question 38

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

(Multiple Choice)

4.7/5

(40)

Question 39

For the following data, what is SS_total?

(Multiple Choice)

4.9/5

(39)

Question 40

Showing 21 - 40 of 70

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?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

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?

Introduction to Statistics

Frequency Distributions

Central Tendency

Variability

Z-Scores

Probability

The Distribution of Sample Means

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

The T Test for Two Related Samples

Introduction to Analysis of Variance

Two-Factor Analysis of Variance

Correlation

Introduction to Regression

Chi-Square Tests

The Binomial Test

Choosing the Right Statistics

Filters

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?