Exam 11: Correlated Groups T-Test

Which of the following statistical tests should be used to analyze the relationship between the independent and dependent variables when the independent variable is within-subjects?

(Multiple Choice)

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Question 21

A correlated groups t test will usually (but not always)be _____ than a corresponding independent groups t test.

(Multiple Choice)

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Question 22

The degrees of freedom associated with a correlated group t-test if the number of subjects is 10 is_____.

(Multiple Choice)

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Question 23

The mean of the sampling distribution of mean difference scores is equal to the mean difference score across individuals in the population.

(True/False)

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Question 24

The sampling distribution of the mean of difference scores indicates the amount of____________________.

(Short Answer)

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Question 25

Between-subjects designs (but not within-subjects designs)allow us to estimate the source of variability due to the influence of individual differences,and extract it from the dependent variable.

(True/False)

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Question 26

A correlated groups t test is analogous to an independent groups t test with the effects of individual differences added to the dependent variable.

(True/False)

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Question 27

In a correlated-groups t test,eta² represents the proportion of variability in the dependent variable that is associated with the independent variable ______.

(Multiple Choice)

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Question 28

Dr.August is investigating whether or not women have more job satisfaction after they are given praise or a gift card (different levels or rewards).She has recruited 10 women from Intel and for 6 months the women received praise then the next 6 months they received a gift card.The conditions were counterbalanced and a survey on job satisfaction was distributed following the treatment conditions or every 6 months until the research was completed.After finishing her study Dr.August was busy writing a grant,therefore she has asked you to analyze her data below.Please note the survey was based on 1-5 Likert scale with high scores indicating high job satisfaction and low score indicating dissatisfaction. After calculating the t-value can you reject the null hypothesis? (Note she used a nondirectional test with the alpha level set at 0.05 so the table t was 2.776).

(Multiple Choice)

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Question 29

The variance extraction technique that creates nullified scores removes sources of variability that are due to _____.

(Multiple Choice)

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Question 30

When is the correlated groups t test used to analyze the relationship between two variables?

(Essay)

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Question 31

A correlated groups t-test is a parametric test and assumes_____.

(Multiple Choice)

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Question 32

Dr.August is investigating whether or not women have more job satisfaction after they are given praise or a gift card (different levels or rewards).She has recruited 10 women from Intel and for 6 months the women received praise then the next 6 months they received a gift card.The conditions were counterbalanced and a survey on job satisfaction was distributed following the treatment conditions or every 6 months until the research was completed.After finishing her study Dr.August was busy writing a grant,therefore she has asked you to analyze her data below.Please note the survey was based on 1-5 Likert scale with high scores indicating high job satisfaction and low score indicating dissatisfaction. In Dr.Augusts' result section how should she report the results of the t-test you calculated for her?

(Multiple Choice)

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Question 33

The formula for computing eta-squared for the correlated groups t test is _____ that for the independent groups t test.

(Multiple Choice)

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Question 34

The major difference between the correlated groups t test and the independent groups t test is that the former is used when the independent variable is _ in nature and the latter is used when the independent variable is _ in nature.

(Multiple Choice)

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Question 35

The assumption of independent,random sampling is not an important one for the correlated groups t test.

(True/False)

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Question 36

One of the underlying assumptions of the correlated groups t test is that the population of mean scores is normally distributed.

(True/False)

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Question 37

If subjects have been matched on some variable such as IQ then a correlated groups t-test should be used to analyze the data.

(True/False)

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Question 38

The 95% confidence interval for the mean differences is reported following _____.

(Multiple Choice)

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Question 39

The main difference between a correlated groups t-test and Independent groups t-test include(s)_____.

(Multiple Choice)

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Question 40

Showing 21 - 40 of 125

Which of the following statistical tests should be used to analyze the relationship between the independent and dependent variables when the independent variable is within-subjects?

A correlated groups t test will usually (but not always)be _____ than a corresponding independent groups t test.

The degrees of freedom associated with a correlated group t-test if the number of subjects is 10 is_____.

The mean of the sampling distribution of mean difference scores is equal to the mean difference score across individuals in the population.

The sampling distribution of the mean of difference scores indicates the amount of____________________.

Between-subjects designs (but not within-subjects designs)allow us to estimate the source of variability due to the influence of individual differences,and extract it from the dependent variable.

A correlated groups t test is analogous to an independent groups t test with the effects of individual differences added to the dependent variable.

In a correlated-groups t test,eta² represents the proportion of variability in the dependent variable that is associated with the independent variable ______.

The variance extraction technique that creates nullified scores removes sources of variability that are due to _____.

When is the correlated groups t test used to analyze the relationship between two variables?

A correlated groups t-test is a parametric test and assumes_____.

The formula for computing eta-squared for the correlated groups t test is _____ that for the independent groups t test.

The major difference between the correlated groups t test and the independent groups t test is that the former is used when the independent variable is _ in nature and the latter is used when the independent variable is _ in nature.

The assumption of independent,random sampling is not an important one for the correlated groups t test.

One of the underlying assumptions of the correlated groups t test is that the population of mean scores is normally distributed.

If subjects have been matched on some variable such as IQ then a correlated groups t-test should be used to analyze the data.

The 95% confidence interval for the mean differences is reported following _____.

The main difference between a correlated groups t-test and Independent groups t-test include(s)_____.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

Exam 11: Correlated Groups T-Test

Which of the following statistical tests should be used to analyze the relationship between the independent and dependent variables when the independent variable is within-subjects?

A correlated groups t test will usually (but not always)be _____ than a corresponding independent groups t test.

The degrees of freedom associated with a correlated group t-test if the number of subjects is 10 is_____.

The mean of the sampling distribution of mean difference scores is equal to the mean difference score across individuals in the population.

The sampling distribution of the mean of difference scores indicates the amount of____________________.

Between-subjects designs (but not within-subjects designs)allow us to estimate the source of variability due to the influence of individual differences,and extract it from the dependent variable.

A correlated groups t test is analogous to an independent groups t test with the effects of individual differences added to the dependent variable.

In a correlated-groups t test,eta2 represents the proportion of variability in the dependent variable that is associated with the independent variable ______.

The variance extraction technique that creates nullified scores removes sources of variability that are due to _____.

When is the correlated groups t test used to analyze the relationship between two variables?

A correlated groups t-test is a parametric test and assumes_____.

The formula for computing eta-squared for the correlated groups t test is _____ that for the independent groups t test.

The major difference between the correlated groups t test and the independent groups t test is that the former is used when the independent variable is _____ in nature and the latter is used when the independent variable is _____ in nature.

The assumption of independent,random sampling is not an important one for the correlated groups t test.

One of the underlying assumptions of the correlated groups t test is that the population of mean scores is normally distributed.

If subjects have been matched on some variable such as IQ then a correlated groups t-test should be used to analyze the data.

The 95% confidence interval for the mean differences is reported following _____.

The main difference between a correlated groups t-test and Independent groups t-test include(s)_____.

Introduction and Mathematical Preliminaries

Frequency and Probability Distributions

Percentiles percentile Ranks standard Scores and the Normal Distribution

Pearson Correlation and Regression: Descriptive Aspects

Measures of Central Tendency and Variability

Estimation and Sampling Distributions

Hypothesis Testing: Inferences About a Single Mean

Probability

Principles of Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships

Independent Groups T -Test

One-Way Repeated Measures Analysis of Variance

Pearson Correlation and Regression: Inferential Aspects

Chi-Square Test

Nonparametric Statistics

Two-Way Between-Subjects Analysis of Variance

Overview and Extension: Statistical Tests for More Complex Designs

Filters

In a correlated-groups t test,eta² represents the proportion of variability in the dependent variable that is associated with the independent variable ______.

The major difference between the correlated groups t test and the independent groups t test is that the former is used when the independent variable is _ in nature and the latter is used when the independent variable is _ in nature.