Question 1

The dfS 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 2

For a one-factor within-subjects analysis of variance, the dfTotal are equal to the number of minus one.

Accepted Answer

A) subjects minus the levels of the independent variable 
B) treatment conditions 
C) scores 
D) subjects 
A) subjects minus the levels of the independent variable 
B) treatment conditions 
C) scores 
D) subjects

Question 3

A decrease in task performance due to fatigue or boredom over repeated task measurements refers to effects.

Accepted Answer

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

Question 4

If Fobs does not fall into the rejection region in a one-factor within-subjects analysis of variance, then the.

Accepted Answer

A) alternative hypothesis is accepted 
B) differences among the treatment means are statistically significant 
C) differences among the treatment means are nonsignificant 
D) sample variances are equal 
A) alternative hypothesis is accepted 
B) differences among the treatment means are statistically significant 
C) differences among the treatment means are nonsignificant 
D) sample variances are equal

Question 5

If an experiment used a one-factor within-subjects design with three levels, then each participant would be tested and measured time(s).

Accepted Answer

A) one 
B) two 
C) three 
D) four 
A) one 
B) two 
C) three 
D) four

Question 6

Practice effects and treatment carry-over effects refer to.

Accepted Answer

A) control procedures 
B) Control procedures 
C) multiple treatment effects 
D) between-subjects effects 
A) control procedures 
B) Control procedures 
C) multiple treatment effects 
D) between-subjects effects

Question 7

In a one-factor within-subjects analysis of variance, the extent of individual differences is reflected in the mean square.

Accepted Answer

A) factor A 
B) subjects (S) 
C) interaction of treatment with subjects 
D) subjects and A × S interaction 
A) factor A 
B) subjects (S) 
C) interaction of treatment with subjects 
D) subjects and A × S interaction

Question 8

In a within-subjects design,.

Accepted Answer

A) a single group of subjects is given all levels of the independent variable 
B) each group of subjects receives only one level of the independent variable 
C) each group of subjects receives a different level of the independent variable 
D) subjects are randomly assigned to a level of the independent variable 
A) a single group of subjects is given all levels of the independent variable 
B) each group of subjects receives only one level of the independent variable 
C) each group of subjects receives a different level of the independent variable 
D) subjects are randomly assigned to a level of the independent variable

Question 9

Which of the following terms in a one-factor within-subjects analysis of variance is principally associated with error variation?

Accepted Answer

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

Question 10

If the independent variable does have an effect in a one-factor within-subjects analysis of variance, then MSA will be MSA × S, and the resulting F statistic will be.

Accepted Answer

A) smaller than; under 1.00 
B) nearly equal to; about 1.00 
C) larger than; over 1.00 
D) smaller than; over 1.00 
A) smaller than; under 1.00 
B) nearly equal to; about 1.00 
C) larger than; over 1.00 
D) smaller than; over 1.00

Question 11

The MSA × S for a one-factor within-subjects analysis of variance is equal to the SSA × S dfA × S

Accepted Answer

A) plus 
B) minus 
C) multiplied by 
D) divided by 
A) plus 
B) minus 
C) multiplied by 
D) divided by

Question 12

The SSS 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

If SSA = 15, SSA × S = 5, and SSTotal = 30, then SSS equals.

Accepted Answer

A) 10 
B) 15 
C) 20 
D) cannot determine from 
A) 10 
B) 15 
C) 20 
D) cannot determine from

Question 14

If an experiment using a one-factor within-subjects design has four treatment conditions and uses a total of 12 participants, then the dfA × S equals.

Accepted Answer

A) 36 
B) 11 
C) 33 
D) 47 
A) 36 
B) 11 
C) 33 
D) 47

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

For a one-factor within-subjects analysis of variance, the dfTotal are equal to the number of minus one.

A decrease in task performance due to fatigue or boredom over repeated task measurements refers to effects.

If Fobs does not fall into the rejection region in a one-factor within-subjects analysis of variance, then the.

If an experiment used a one-factor within-subjects design with three levels, then each participant would be tested and measured time(s).

Practice effects and treatment carry-over effects refer to.

In a one-factor within-subjects analysis of variance, the extent of individual differences is reflected in the mean square.

In a within-subjects design,.

Which of the following terms in a one-factor within-subjects analysis of variance is principally associated with error variation?

If the independent variable does have an effect in a one-factor within-subjects analysis of variance, then MSA will be MSA × S, and the resulting F statistic will be.

The MSA × S for a one-factor within-subjects analysis of variance is equal to the SSA × S dfA × S

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

If SSA = 15, SSA × S = 5, and SSTotal = 30, then SSS equals.

If an experiment using a one-factor within-subjects design has four treatment conditions and uses a total of 12 participants, then the dfA × S equals.

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

For a one-factor within-subjects analysis of variance, the dfTotal are equal to the number of minus one.

A decrease in task performance due to fatigue or boredom over repeated task measurements refers to effects.

If Fobs does not fall into the rejection region in a one-factor within-subjects analysis of variance, then the.

If an experiment used a one-factor within-subjects design with three levels, then each participant would be tested and measured time(s).

Practice effects and treatment carry-over effects refer to.

In a one-factor within-subjects analysis of variance, the extent of individual differences is reflected in the mean square.

In a within-subjects design,.

Which of the following terms in a one-factor within-subjects analysis of variance is principally associated with error variation?

If the independent variable does have an effect in a one-factor within-subjects analysis of variance, then MSA will be MSA × S, and the resulting F statistic will be.

The MSA × S for a one-factor within-subjects analysis of variance is equal to the SSA × S dfA × S

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

If SSA = 15, SSA × S = 5, and SSTotal = 30, then SSS equals.

If an experiment using a one-factor within-subjects design has four treatment conditions and uses a total of 12 participants, then the dfA × S equals.

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