Question 1

A spurious correlation is:

Accepted Answer

A)  the relationship between two unrelated variables. 
B)  a nonsignificant relationship. 
C)  one in which a third variable influences the nature of the relationship between the two variables tested. 
D)  a positive linear relationship. 
E)  a negative linear relationship. 
A)  the relationship between two unrelated variables. 
B)  a nonsignificant relationship. 
C)  one in which a third variable influences the nature of the relationship between the two variables tested. 
D)  a positive linear relationship. 
E)  a negative linear relationship.

Question 2

Describes the steps in interpreting a correlation coefficient.

Accepted Answer

Interpreting a correlation coefficient i

Question 3

The significance level is usually set at .05 as the criterion for making the decision to accept the research hypothesis.

Accepted Answer

A) True 
 B)False

Question 4

Researchers compute the coefficient of determination to:

Accepted Answer

A)  assess the linear characteristic of the correlation. 
B)  determine the amount of shared variance for a significant r value. 
C)  determine the amount of shared variance for an non-significant r value. 
D)  assess the amount of error in a statistical test. 
E)  determine if the correlation is positive or negative. 
A)  assess the linear characteristic of the correlation. 
B)  determine the amount of shared variance for a significant r value. 
C)  determine the amount of shared variance for an non-significant r value. 
D)  assess the amount of error in a statistical test. 
E)  determine if the correlation is positive or negative.

Question 5

Regression is superior to correlation because it:

Accepted Answer

A)  is more flexible. 
B)  can predict some variables by knowing others. 
C)  can be used with more than two variables. 
D)  can test for the influence of more than one independent variable. 
E)  all of the above. 
A)  is more flexible. 
B)  can predict some variables by knowing others. 
C)  can be used with more than two variables. 
D)  can test for the influence of more than one independent variable. 
E)  all of the above.

Question 6

Explain why statistical tests are designed to test the scores of a sample, rather than the scores of one individual participant.

Accepted Answer

Statistical tests are designed to test t

Question 7

Correlation tests for curvilinear relationships.

Accepted Answer

A) True 
 B)False

A spurious correlation is:

Describes the steps in interpreting a correlation coefficient.

The significance level is usually set at .05 as the criterion for making the decision to accept the research hypothesis.

Researchers compute the coefficient of determination to:

Regression is superior to correlation because it:

Explain why statistical tests are designed to test the scores of a sample, rather than the scores of one individual participant.

Correlation tests for curvilinear relationships.

Introduction to Communication Research

The Research Process: Getting Started

Research Ethics

Introduction to Quantitative Research

Measurement

Populations, Samples, and Sample Size

Quantitative Research Designs

Surveys and Questionnaires

Descriptive Statistics, Significance Levels, and Hypothesis Testing

Testing for Differences

Quantitative Analysis of Text

Reading and Writing the Quantitative Research Report

Introduction to Qualitative Research

Designing Qualitative Research

Qualitative Methods of Data Collection

Analyzing Qualitative Data

Reading and Writing the Qualitative Research Report

Filters

Exam 11: Testing for Relationships

A spurious correlation is:

Describes the steps in interpreting a correlation coefficient.

The significance level is usually set at .05 as the criterion for making the decision to accept the research hypothesis.

Researchers compute the coefficient of determination to:

Regression is superior to correlation because it:

Explain why statistical tests are designed to test the scores of a sample, rather than the scores of one individual participant.

Correlation tests for curvilinear relationships.

Introduction to Communication Research

The Research Process: Getting Started

Research Ethics

Introduction to Quantitative Research

Measurement

Populations, Samples, and Sample Size

Quantitative Research Designs

Surveys and Questionnaires

Descriptive Statistics, Significance Levels, and Hypothesis Testing

Testing for Differences

Quantitative Analysis of Text

Reading and Writing the Quantitative Research Report

Introduction to Qualitative Research

Designing Qualitative Research

Qualitative Methods of Data Collection

Analyzing Qualitative Data

Reading and Writing the Qualitative Research Report

Filters