Question 1

A repeated measures t test is more likely to lead to rejection of the null hypothesis if

Accepted Answer

A)  subjects show considerable variability in their change scores. 
B)  many subjects show no change. 
C)  some subjects change a lot more than others. 
D)  the degree of change is consistent across subjects. 
A)  subjects show considerable variability in their change scores. 
B)  many subjects show no change. 
C)  some subjects change a lot more than others. 
D)  the degree of change is consistent across subjects.

Question 2

An experimenter collected data on how well a study guide improved grades on an exam taken late in the semester compared to an exam taken early in the semester. Using a related sample means t test, the results showed that later grades were higher than early grades ( t (74) = 3.64, p

Accepted Answer

A)  The design controlled for students who did poorly both times. 
B)  The design controlled for extraneous variables like intelligence levels. 
C)  The design controlled for carry-over effects from already having taken one exam when the second exam was administered. 
D)  All of the above are advantages of this design. 
A)  The design controlled for students who did poorly both times. 
B)  The design controlled for extraneous variables like intelligence levels. 
C)  The design controlled for carry-over effects from already having taken one exam when the second exam was administered. 
D)  All of the above are advantages of this design.

Question 3

Which of the following is sometimes a serious problem with repeated measures designs?

Accepted Answer

A)  Carryover effects can cloud the interpretation. 
B)  Small sample sizes can distort the results more than with other designs. 
C)  They require more subjects than designs with independent samples. 
D)  all of the above 
A)  Carryover effects can cloud the interpretation. 
B)  Small sample sizes can distort the results more than with other designs. 
C)  They require more subjects than designs with independent samples. 
D)  all of the above

Question 4

-Calculate and interpret the correlation for the previous data.

Accepted Answer

Yes, they are signif

Question 5

We want to study the mean difference in autonomy between first-born and second-born children. Instead of taking a random sample of children we take a random sample of families and sort the children into first- and second-born. The dependent variable is a measure of autonomy. This experiment would most likely employ

Accepted Answer

A)  a repeated measures analysis. 
B)  an independent measures analysis. 
C)  a correlation coefficient. 
D)  a scatterplot. 
A)  a repeated measures analysis. 
B)  an independent measures analysis. 
C)  a correlation coefficient. 
D)  a scatterplot.

Question 6

Individual differences between subjects are less problematic in related samples designs than in independent samples designs.

Accepted Answer

A) True 
 B)False

Question 7

The following is part of the printout from an SPSS analysis of data on paired samples.  Use it to answer the next several questions.
 
The 2-tailed significance level tells us

Accepted Answer

A)  the difference is not significant at the .05 level. 
B)  the difference is significant at the .05 level. 
C)  the means of the pre- and post-scores are large. 
D)  We can't tell whether the difference is significant or not. 
A)  the difference is not significant at the .05 level. 
B)  the difference is significant at the .05 level. 
C)  the means of the pre- and post-scores are large. 
D)  We can't tell whether the difference is significant or not.

Question 8

The standard error of the difference between two means is

Accepted Answer

A)  the standard deviation of a set of difference scores. 
B)  the standard deviation of a set of means of difference scores. 
C)  the variance of the means. 
D)  the standard deviation of the pretest scores. 
A)  the standard deviation of a set of difference scores. 
B)  the standard deviation of a set of means of difference scores. 
C)  the variance of the means. 
D)  the standard deviation of the pretest scores.

Question 9

We treat the repeated sample case differently from the case involving two separate samples because of

Accepted Answer

A)  the difference in the means of the two samples. 
B)  the fact that different subjects were involved. 
C)  the correlation between the two sets of data. 
D)  the size of the sample. 
A)  the difference in the means of the two samples. 
B)  the fact that different subjects were involved. 
C)  the correlation between the two sets of data. 
D)  the size of the sample.

Question 10

As the value of the mean difference score decreases

Accepted Answer

A)  the t score increases. 
B)  the t score decreases. 
C)  the t score stays the same. 
D)  You cannot predict how the t score will be affected. 
A)  the t score increases. 
B)  the t score decreases. 
C)  the t score stays the same. 
D)  You cannot predict how the t score will be affected.

Question 11

If the experimenter had instead used an independent samples design with the same number of participants

Accepted Answer

A)  the power of the design would have increased. 
B)  the power of the design would have decreased. 
C)  the power of the design would have stayed the same. 
D)  the power of the design would not be predictably affected. 
A)  the power of the design would have increased. 
B)  the power of the design would have decreased. 
C)  the power of the design would have stayed the same. 
D)  the power of the design would not be predictably affected.

Question 12

The variables under study in repeated measures designs are unrelated to one another.

Accepted Answer

A) True 
 B)False

Question 13

The following is part of the printout from an SPSS analysis of data on paired samples.  Use it to answer the next several questions.
 
The standard error of the mean of difference scores could be calculated by

Accepted Answer

A)  taking the standard deviation of the differences. 
B)  repeating the study many times and looking at the distribution of means. 
C)  dividing the standard deviation of difference scores by the square root of the sample size. 
D)  looking at the standard deviation of the posttest scores. 
A)  taking the standard deviation of the differences. 
B)  repeating the study many times and looking at the distribution of means. 
C)  dividing the standard deviation of difference scores by the square root of the sample size. 
D)  looking at the standard deviation of the posttest scores.

Question 14

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as
 
Use this formula for the next several questions.
In the formula for t , 1.73 is

Accepted Answer

A)  the standard deviation of the sample. 
B)  the standard deviation of the population. 
C)  the standard error of the mean. 
D)  the difference between the means. 
A)  the standard deviation of the sample. 
B)  the standard deviation of the population. 
C)  the standard error of the mean. 
D)  the difference between the means.

Question 15

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as
 
Use this formula for the next several questions.
A t test, in general, involves

Accepted Answer

A)  dividing the difference between means by the standard deviation of the population. 
B)  dividing the difference between means by the standard deviation of the sample. 
C)  dividing the difference between means by the standard error of a distribution of differences between means. 
D)  dividing the difference in standard deviations by the size of the larger mean. 
A)  dividing the difference between means by the standard deviation of the population. 
B)  dividing the difference between means by the standard deviation of the sample. 
C)  dividing the difference between means by the standard error of a distribution of differences between means. 
D)  dividing the difference in standard deviations by the size of the larger mean.

Question 16

-Calculate and interpret t for the previous data.

Accepted Answer

t = 1.991; there was a statist

Question 17

A difference score is obtained by

Accepted Answer

A)  subtracting the Before score from the After score. 
B)  subtracting the After score from the Before score. 
C)  dividing After scores by Before scores. 
D)  either a or b, just so long as you are consistent 
A)  subtracting the Before score from the After score. 
B)  subtracting the After score from the Before score. 
C)  dividing After scores by Before scores. 
D)  either a or b, just so long as you are consistent

Question 18

Generate three examples of research questions that are appropriate for testing with a related samples t-test.

Accepted Answer

Possible answers include: 
Doe

Question 19

The null hypothesis of a related scores t test is

Accepted Answer

A)    
B)    
C)    
D)    
A)    
B)    
C)    
D)

Question 20

Related samples designs require fewer subjects than independent sample designs to achieve the same degree of statistical power.

Accepted Answer

A) True 
 B)False

A repeated measures t test is more likely to lead to rejection of the null hypothesis if

An experimenter collected data on how well a study guide improved grades on an exam taken late in the semester compared to an exam taken early in the semester. Using a related sample means t test, the results showed that later grades were higher than early grades ( t (74) = 3.64, p

Which of the following is sometimes a serious problem with repeated measures designs?

-Calculate and interpret the correlation for the previous data.

Individual differences between subjects are less problematic in related samples designs than in independent samples designs.

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The 2-tailed significance level tells us

The standard error of the difference between two means is

We treat the repeated sample case differently from the case involving two separate samples because of

As the value of the mean difference score decreases

If the experimenter had instead used an independent samples design with the same number of participants

The variables under study in repeated measures designs are unrelated to one another.

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The standard error of the mean of difference scores could be calculated by

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. In the formula for t , 1.73 is

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. A t test, in general, involves

-Calculate and interpret t for the previous data.

A difference score is obtained by

Generate three examples of research questions that are appropriate for testing with a related samples t-test.

The null hypothesis of a related scores t test is

Related samples designs require fewer subjects than independent sample designs to achieve the same degree of statistical power.

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters

Exam 13: Hypothesis Tests Applied to Means: Two Related Samples

A repeated measures t test is more likely to lead to rejection of the null hypothesis if

An experimenter collected data on how well a study guide improved grades on an exam taken late in the semester compared to an exam taken early in the semester. Using a related sample means t test, the results showed that later grades were higher than early grades ( t (74) = 3.64, p

Which of the following is sometimes a serious problem with repeated measures designs?

-Calculate and interpret the correlation for the previous data.

Individual differences between subjects are less problematic in related samples designs than in independent samples designs.

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The 2-tailed significance level tells us

The standard error of the difference between two means is

We treat the repeated sample case differently from the case involving two separate samples because of

As the value of the mean difference score decreases

If the experimenter had instead used an independent samples design with the same number of participants

The variables under study in repeated measures designs are unrelated to one another.

The following is part of the printout from an SPSS analysis of data on paired samples. Use it to answer the next several questions. The standard error of the mean of difference scores could be calculated by

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. In the formula for t , 1.73 is

In Chapter 13 the calculation for a repeated measures t test on change within subjects is given as Use this formula for the next several questions. A t test, in general, involves

-Calculate and interpret t for the previous data.

A difference score is obtained by

Generate three examples of research questions that are appropriate for testing with a related samples t-test.

The null hypothesis of a related scores t test is

Related samples designs require fewer subjects than independent sample designs to achieve the same degree of statistical power.

Introduction

Basic Concepts

Displaying Data

Measures of Central Tendency

Measures of Variability

The Normal Distribution

Basic Concepts of Probability

Sampling Distributions and Hypothesis Testing

Correlation

Regression

Multiple Regression

Hypothesis Tests Applied to Means: One Sample

Hypothesis Tests Applied to Means: Two Independent Samples

Power

One-Way Analysis of Variance

Factorial Analysis of Variance

Repeated-Measures Analysis of Variance

Chi-Square

Nonparametric and Resampling Statistical Tests

Meta-Analysis

Filters