Question 1

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

Accepted Answer

A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25 
A) n = 11 
B) n = 13 
C) n = 24 
D) n = 25

Question 2

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all of the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

Accepted Answer

A) The sample mean difference is near zero. 
B) The t statistic is near zero. 
C) The variance of the difference scores is near zero. 
D) None of the other options is correct. 
A) The sample mean difference is near zero. 
B) The t statistic is near zero. 
C) The variance of the difference scores is near zero. 
D) None of the other options is correct.

Question 3

A repeated-measures study comparing two treatments with n = 4 participants produces MD = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

Accepted Answer

A) 25 
B) 25/4 = 6.25 
C) 5 
D) 2.5 
A) 25 
B) 25/4 = 6.25 
C) 5 
D) 2.5

Question 4

For which of the following situations would a repeated-measures research design be appropriate?

Accepted Answer

A) Comparing mathematical skills for girls versus boys at age 10 
B) Comparing pain tolerance with and without acupuncture needles 
C) Comparing self-esteem for students who participate in school athletics versus those who do not 
D) Comparing verbal solving skills for science majors versus art majors at a college 
A) Comparing mathematical skills for girls versus boys at age 10 
B) Comparing pain tolerance with and without acupuncture needles 
C) Comparing self-esteem for students who participate in school athletics versus those who do not 
D) Comparing verbal solving skills for science majors versus art majors at a college

Question 5

A sample of n = 9 college students is used to evaluate the effectiveness of a new Study Skills Workshop.Each student's grade point average (GPA)is recorded for the semester before the workshop and for the semester after the workshop.The average GPA improved by MD = 0.60 points with s2 = 0.09.The researcher would like to use the sample to estimate how much effect the workshop would have for the entire college population.Which of the following is the 80% confidence interval for these data?

Accepted Answer

A) µD = 0.60 + 0.01(1.397) 
B) µD = 0.60 + 0.09(1.860) 
C) µD = 0.60 + 0.10(1.397) 
D) µD = 0.60 + 0.10(1.860) 
A) µD = 0.60 + 0.01(1.397) 
B) µD = 0.60 + 0.09(1.860) 
C) µD = 0.60 + 0.10(1.397) 
D) µD = 0.60 + 0.10(1.860)

Question 6

A repeated-measures study uses a total of n = 10 participants to compare two treatment conditions.How many scores are measured in this study,and how many scores are actually used to compute the sample mean and the sample variance?

Accepted Answer

A) 20 measured and 10 used 
B) 20 measured and 20 used 
C) 10 measured and 10 used 
D) 10 measured and 20 used 
A) 20 measured and 10 used 
B) 20 measured and 20 used 
C) 10 measured and 10 used 
D) 10 measured and 20 used

Question 7

For a repeated-measures study,if other factors are held constant,then an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

Accepted Answer

A) True 
 B)False

Question 8

For which of the following situations would a repeated-measures design have the maximum advantage over an independent-measures design?

Accepted Answer

A) When many subjects are available and individual differences are small 
B) When very few subjects are available and individual differences are small 
C) When many subjects are available and individual differences are large 
D) When very few subjects are available and individual differences are large 
A) When many subjects are available and individual differences are small 
B) When very few subjects are available and individual differences are small 
C) When many subjects are available and individual differences are large 
D) When very few subjects are available and individual differences are large

Question 9

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 18.

Accepted Answer

A) True 
 B)False

Question 10

What value is estimated with a confidence interval using the repeated-measures t statistic?

Accepted Answer

A) The mean for a sample of difference scores 
B) The mean for a population of difference scores 
C) The difference between two population means 
D) The difference between two sample means 
A) The mean for a sample of difference scores 
B) The mean for a population of difference scores 
C) The difference between two population means 
D) The difference between two sample means

Question 11

If a repeated-measures study shows a significant difference between two treatments with α = .01,then what can you conclude about measures of effect size?

Accepted Answer

A) The value of Cohen's d is large. 
B) The percentage of variance explained (r2)is large. 
C) Both Cohen's d and r2 are large. 
D) A significant effect does not necessarily mean that the effect size will be large. 
A) The value of Cohen's d is large. 
B) The percentage of variance explained (r2)is large. 
C) Both Cohen's d and r2 are large. 
D) A significant effect does not necessarily mean that the effect size will be large.

Question 12

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

Accepted Answer

A) True 
 B)False

Question 13

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

Accepted Answer

A) 11 for repeated and 11 for matched 
B) 11 for repeated and 12 for matched 
C) 11 for repeated and 22 for matched 
D) 12 for repeated and 12 for matched 
A) 11 for repeated and 11 for matched 
B) 11 for repeated and 12 for matched 
C) 11 for repeated and 22 for matched 
D) 12 for repeated and 12 for matched

Question 14

In general,what characteristics of the difference scores are most likely to produce a significant t statistic for the repeated-measures hypothesis test?

Accepted Answer

A) A large number of scores and a large variance 
B) A large number of scores and a small variance 
C) A small number of scores and a large variance 
D) A small number of scores and a small variance 
A) A large number of scores and a large variance 
B) A large number of scores and a small variance 
C) A small number of scores and a large variance 
D) A small number of scores and a small variance

Question 15

A repeated-measures study comparing two treatments with a sample of n = 4 participants produces a mean of M = 18 with SS = 24 for the scores in the first treatment,a mean of M = 14 with SS = 18 for the scores in the second treatment,and a mean of MD = 4 with SS = 12 for the difference scores.What is the estimated standard error for the sample mean difference?

Accepted Answer

A) 4 
B) 3 
C) 2 
D) 1 
A) 4 
B) 3 
C) 2 
D) 1

Question 16

If the null hypothesis is true,what value is expected on average for the repeated-measures t statistic?

Accepted Answer

A) 0 
B) 1 
C) 1.96 
D) t > 1.96 
A) 0 
B) 1 
C) 1.96 
D) t > 1.96

Question 17

A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the repeated-measures design typically has a smaller variance and a smaller estimated standard error.

Accepted Answer

A) True 
 B)False

Question 18

Briefly explain the advantages and disadvantages of using a repeated-measures design as opposed to an independent-measures design.

Accepted Answer

Compared to an independent-measures desi

Question 19

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

Accepted Answer

A) True 
 B)False

Question 20

Assuming that other factors are held constant,which of the following would tend to increase the likelihood of rejecting the null hypothesis?

Accepted Answer

A) Decrease the sample size 
B) Increase the sample mean difference 
C) Increase the sample variance 
D) None of the other 3 options would increase the likelihood. 
A) Decrease the sample size 
B) Increase the sample mean difference 
C) Increase the sample variance 
D) None of the other 3 options would increase the likelihood.

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all of the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

A repeated-measures study comparing two treatments with n = 4 participants produces M_D = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

For which of the following situations would a repeated-measures research design be appropriate?

A repeated-measures study uses a total of n = 10 participants to compare two treatment conditions.How many scores are measured in this study,and how many scores are actually used to compute the sample mean and the sample variance?

For a repeated-measures study,if other factors are held constant,then an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

For which of the following situations would a repeated-measures design have the maximum advantage over an independent-measures design?

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 18.

What value is estimated with a confidence interval using the repeated-measures t statistic?

If a repeated-measures study shows a significant difference between two treatments with α = .01,then what can you conclude about measures of effect size?

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

In general,what characteristics of the difference scores are most likely to produce a significant t statistic for the repeated-measures hypothesis test?

If the null hypothesis is true,what value is expected on average for the repeated-measures t statistic?

A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the repeated-measures design typically has a smaller variance and a smaller estimated standard error.

Briefly explain the advantages and disadvantages of using a repeated-measures design as opposed to an independent-measures design.

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

Assuming that other factors are held constant,which of the following would tend to increase the likelihood of rejecting the null hypothesis?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

Exam 11: The T Test for Two Related Samples

A researcher reports t(12)= 2.86,p < .05 for a repeated-measures research study.How many individuals participated in the study?

A researcher uses a repeated-measures design to compare individuals' performance before treatment with their performance after treatment.If all of the participants show improved performance of 8 or 9 points after treatment,what should the researcher find?

A repeated-measures study comparing two treatments with n = 4 participants produces MD = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?

For which of the following situations would a repeated-measures research design be appropriate?

A repeated-measures study uses a total of n = 10 participants to compare two treatment conditions.How many scores are measured in this study,and how many scores are actually used to compute the sample mean and the sample variance?

For a repeated-measures study,if other factors are held constant,then an increase in the size of the sample will increase the likelihood of finding a significant treatment effect.

For which of the following situations would a repeated-measures design have the maximum advantage over an independent-measures design?

A repeated-measures research study comparing two treatments with a set of 10 scores in each treatment will produce a t statistic with df = 18.

What value is estimated with a confidence interval using the repeated-measures t statistic?

If a repeated-measures study shows a significant difference between two treatments with α = .01,then what can you conclude about measures of effect size?

Repeated-measures designs are particularly well-suited to research studies examining learning or other changes that occur over time.

A repeated-measures experiment and a matched-subjects experiment each produce a t statistic with df = 10.How many individuals participated in each study?

In general,what characteristics of the difference scores are most likely to produce a significant t statistic for the repeated-measures hypothesis test?

If the null hypothesis is true,what value is expected on average for the repeated-measures t statistic?

A repeated-measures test usually is more likely to detect a real treatment effect than an independent-measures test because the repeated-measures design typically has a smaller variance and a smaller estimated standard error.

Briefly explain the advantages and disadvantages of using a repeated-measures design as opposed to an independent-measures design.

For a repeated-measures study,a small variance for the difference scores indicates that the treatment effect is consistent across participants.

Assuming that other factors are held constant,which of the following would tend to increase the likelihood of rejecting the null hypothesis?

Introduction to Statistics

Frequency Distributions

Measures of Central Tendency

Measures of Variability

Z-Scores

Probability

Probability and Samples:

Introduction to Hypothesis Testing

Introduction to the T Statistic

The T Test for Two Independent Samples

Introduction to Analysis of Variance

Repeated-Measures and Two-Factor Anova

Correlation and Regression

Chi-Square Tests

Filters

A repeated-measures study comparing two treatments with n = 4 participants produces M_D = 2 and SS = 75 for the difference scores.What is the estimated standard error for the sample mean difference?