Question 1

The SSTotal in a one-factor within-subjects analysis of variance represents.

Accepted Answer

A) variation due to the individual differences among subjects 
B) variation due to the treatments-by-subjects interaction 
C) variation due to the independent variable and treatments-by-subjects interaction 
D) total variation of the scores 
A) variation due to the individual differences among subjects 
B) variation due to the treatments-by-subjects interaction 
C) variation due to the independent variable and treatments-by-subjects interaction 
D) total variation of the scores D

Question 2

The dfA × S in a one-factor within-subjects analysis of variance are equal to.

Accepted Answer

A) N - 1 
B) nA - 1 
C) a - 1 
D) (a - 1)(nA - 1) 
A) N - 1 
B) nA - 1 
C) a - 1 
D) (a - 1)(nA - 1) D

Question 3

If SSA = 27.00, SSA × S = 99.00, SSS = 44.00, dfA = 3, dfA × S = 33, and dfS = 11, then Fobs equals in a one-factor within-subjects analysis of variance.

Accepted Answer

A) 2.25 
B) 1.33 
C) 3.00 
D) 0.33 
A) 2.25 
B) 1.33 
C) 3.00 
D) 0.33 C

Question 4

In a one-factor within-subjects analysis of variance, SSTotal is equal to SSA SSS SSA × S

Accepted Answer

A) plus; minus 
B) plus; plus 
C) minus; plus 
D) minus; minus 
A) plus; minus 
B) plus; plus 
C) minus; plus 
D) minus; minus

Question 5

A one-factor within-subjects analysis of variance revealed that the means differ significantly, F(2, 10) = 12.37, MSA × S = 10.62, p < .05. Given this

Accepted Answer

A) 5 
B) 6 
C) 10 
D) not enough 
A) 5 
B) 6 
C) 10 
D) not enough

Question 6

If you fail to reject H0 in a one-factor within-subjects analysis of variance, then you conclude that the.

Accepted Answer

A) variances of each treatment condition are equal 
B) variances of each treatment condition are not equal 
C) treatment means differ only because of sampling error 
D) treatment means differ by more than sampling error alone 
A) variances of each treatment condition are equal 
B) variances of each treatment condition are not equal 
C) treatment means differ only because of sampling error 
D) treatment means differ by more than sampling error alone

Question 7

The F statistic calculated for a one-factor within-subjects analysis of variance is defined as the ratio of the mean square for to the mean square for.

Accepted Answer

A) A; A × S 
B) A × S; S 
C) A; S 
D) A × S; A 
A) A; A × S 
B) A × S; S 
C) A; S 
D) A × S; A

Question 8

A one-factor within-subjects experiment uses three treatments and a total of nine subjects; thus the df for the mean square in the numerator of the F statistic for the analysis of variance equals .

Accepted Answer

A) 2 
B) 3 
C) 8 
D) 16 
A) 2 
B) 3 
C) 8 
D) 16

Question 9

Eta squared for a one-factor within-subjects analysis of variance is found by.

Accepted Answer

A) SSA ÷ (SSA + SSA × S) 
B) SSA ÷ SSTotal 
C) SSS ÷ (SSA + SSA × S) 
D) SSA ÷ SSS 
A) SSA ÷ (SSA + SSA × S) 
B) SSA ÷ SSTotal 
C) SSS ÷ (SSA + SSA × S) 
D) SSA ÷ SSS

Question 10

The in a one-factor within-subjects analysis of variance represents variation due to individual differences among subjects.

Accepted Answer

A) SSA 
B) SSS 
C) SSA × S 
D) SSTotal 
A) SSA 
B) SSS 
C) SSA × S 
D) SSTotal

Question 11

In comparison to between-subjects designs, within-subjects designs.

Accepted Answer

A) require fewer participants 
B) may be more sensitive to the effects of the independent variable 
C) are more susceptible to multiple treatment effects 
D) all the above 
A) require fewer participants 
B) may be more sensitive to the effects of the independent variable 
C) are more susceptible to multiple treatment effects 
D) all the above

Question 12

The SSA in a one-factor within-subjects analysis of variance represents.

Accepted Answer

A) variation due to the individual differences among subjects 
B) variation due to the treatments-by-subjects interaction 
C) variation due to the independent variable and treatments-by-subjects interaction 
D) total variation of the scores 
A) variation due to the individual differences among subjects 
B) variation due to the treatments-by-subjects interaction 
C) variation due to the independent variable and treatments-by-subjects interaction 
D) total variation of the scores

Question 13

Changes in task performance due to repeatedly performing a task rather than to any effects of the independent variable are called effects.

Accepted Answer

A) between-subjects 
B) treatment carry-over 
C) repetition 
D) practice 
A) between-subjects 
B) treatment carry-over 
C) repetition 
D) practice

Question 14

In comparison to between-subjects designs, within-subjects designs.

Accepted Answer

A) require more participants 
B) may be less sensitive to the effects of the independent variable 
C) are susceptible to multiple treatment effects 
D) are not affected by practice on a task 
A) require more participants 
B) may be less sensitive to the effects of the independent variable 
C) are susceptible to multiple treatment effects 
D) are not affected by practice on a task

Question 15

In a one-factor within-subjects analysis of variance, reflects variation in scores due to the differences among subjects.

Accepted Answer

A) MSA 
B) MSB 
C) MSS 
D) MSA × S 
A) MSA 
B) MSB 
C) MSS 
D) MSA × S

Question 16

The model for representing a subject's score in a one-factor within-subjects analysis of variance can be expressed as total variation in a score equals variation due to factor A variation to individual differences variation due to the interaction of A and S.

Accepted Answer

A) plus; minus 
B) minus; minus 
C) minus; plus 
D) plus; plus 
A) plus; minus 
B) minus; minus 
C) minus; plus 
D) plus; plus

Question 17

The dfA in a one-factor within-subjects analysis of variance are equal to.

Accepted Answer

A) N - 1 
B) nA - 1 
C) a - 1 
D) (a - 1)(nA - 1) 
A) N - 1 
B) nA - 1 
C) a - 1 
D) (a - 1)(nA - 1)

Question 18

Which of the following does not contribute to variation in the scores of a one-factor within-subjects analysis of variance?

Accepted Answer

A) The effect of the independent variable. 
B) The effects of the individual differences among subjects. 
C) The effect of the dependent variable. 
D) The interaction of treatments and subjects. 
A) The effect of the independent variable. 
B) The effects of the individual differences among subjects. 
C) The effect of the dependent variable. 
D) The interaction of treatments and subjects.

Question 19

The situation that presumably exists if the independent variable has no effect is represented by in a one-factor within-subjects analysis of variance.

Accepted Answer

A) H0 
B) H1 
C) MSTotal 
D) SSTotal 
A) H0 
B) H1 
C) MSTotal 
D) SSTotal

Question 20

A within-subjects design also is known as a design.

Accepted Answer

A) between-groups 
B) dependent-subjects 
C) treatment-by-subjects 
D) independent-groups 
A) between-groups 
B) dependent-subjects 
C) treatment-by-subjects 
D) independent-groups

The SSTotal in a one-factor within-subjects analysis of variance represents.

The dfA × S in a one-factor within-subjects analysis of variance are equal to.

If SSA = 27.00, SSA × S = 99.00, SSS = 44.00, dfA = 3, dfA × S = 33, and dfS = 11, then Fobs equals in a one-factor within-subjects analysis of variance.

In a one-factor within-subjects analysis of variance, SSTotal is equal to SSA SSS SSA × S

A one-factor within-subjects analysis of variance revealed that the means differ significantly, F(2, 10) = 12.37, MSA × S = 10.62, p < .05. Given this

If you fail to reject H0 in a one-factor within-subjects analysis of variance, then you conclude that the.

The F statistic calculated for a one-factor within-subjects analysis of variance is defined as the ratio of the mean square for to the mean square for.

A one-factor within-subjects experiment uses three treatments and a total of nine subjects; thus the df for the mean square in the numerator of the F statistic for the analysis of variance equals .

Eta squared for a one-factor within-subjects analysis of variance is found by.

The in a one-factor within-subjects analysis of variance represents variation due to individual differences among subjects.

In comparison to between-subjects designs, within-subjects designs.

The SSA in a one-factor within-subjects analysis of variance represents.

Changes in task performance due to repeatedly performing a task rather than to any effects of the independent variable are called effects.

In comparison to between-subjects designs, within-subjects designs.

In a one-factor within-subjects analysis of variance, reflects variation in scores due to the differences among subjects.

The model for representing a subject's score in a one-factor within-subjects analysis of variance can be expressed as total variation in a score equals variation due to factor A variation to individual differences variation due to the interaction of A and S.

The dfA in a one-factor within-subjects analysis of variance are equal to.

Which of the following does not contribute to variation in the scores of a one-factor within-subjects analysis of variance?

The situation that presumably exists if the independent variable has no effect is represented by in a one-factor within-subjects analysis of variance.

A within-subjects design also is known as a design.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters

Exam 12: One-Factor Within-Subjects Analysis of Variance

The SSTotal in a one-factor within-subjects analysis of variance represents.

The dfA × S in a one-factor within-subjects analysis of variance are equal to.

If SSA = 27.00, SSA × S = 99.00, SSS = 44.00, dfA = 3, dfA × S = 33, and dfS = 11, then Fobs equals in a one-factor within-subjects analysis of variance.

In a one-factor within-subjects analysis of variance, SSTotal is equal to SSA SSS SSA × S

A one-factor within-subjects analysis of variance revealed that the means differ significantly, F(2, 10) = 12.37, MSA × S = 10.62, p < .05. Given this

If you fail to reject H0 in a one-factor within-subjects analysis of variance, then you conclude that the.

The F statistic calculated for a one-factor within-subjects analysis of variance is defined as the ratio of the mean square for to the mean square for.

A one-factor within-subjects experiment uses three treatments and a total of nine subjects; thus the df for the mean square in the numerator of the F statistic for the analysis of variance equals .

Eta squared for a one-factor within-subjects analysis of variance is found by.

The in a one-factor within-subjects analysis of variance represents variation due to individual differences among subjects.

In comparison to between-subjects designs, within-subjects designs.

The SSA in a one-factor within-subjects analysis of variance represents.

Changes in task performance due to repeatedly performing a task rather than to any effects of the independent variable are called effects.

In comparison to between-subjects designs, within-subjects designs.

In a one-factor within-subjects analysis of variance, reflects variation in scores due to the differences among subjects.

The model for representing a subject's score in a one-factor within-subjects analysis of variance can be expressed as total variation in a score equals variation due to factor A variation to individual differences variation due to the interaction of A and S.

The dfA in a one-factor within-subjects analysis of variance are equal to.

Which of the following does not contribute to variation in the scores of a one-factor within-subjects analysis of variance?

The situation that presumably exists if the independent variable has no effect is represented by in a one-factor within-subjects analysis of variance.

A within-subjects design also is known as a design.

Making Sense of Variability: an Introduction to Statistics

Statistics in the Context of Scientific Research

Looking at Data: Frequency Distributions and Graphs

Looking at Data: Measures of Central Tendency

Looking at Data: Measures of Variability

The Normal Distribution, Probability, and Standard Scores

Understanding Data: Using Statistics for Inference and Estimation

Is There Really a Difference Introduction to Statistical Hypothesis Testing

The Basics of Experimentation and Testing for a Difference Between Means

One-Factor Between-Subjects Analysis of Variance

Two-Factor Between-Subjects Analysis of Variance

Correlation: Understanding Covariation

Regression Analysis: Predicting Linear Relationships

Nonparametric Tests

Filters