Question 1

Ordered data should be divided into a few categories, if possible.

Accepted Answer

A) True 
 B)False

Question 2

The Pearson product moment correlation tests the association between two continuous variables.

Accepted Answer

A) True 
 B)False

Question 3

Jason Fleece has 50 mothers rate their toddlers' activity level. Dr. Fleece also examines each child's medical history and counts the number of accidents that required a visit to the doctor. He finds that activity level predicts the number of accidents r = +.68. He can conclude that:

Accepted Answer

A)  High activity level causes an increase in accidents 
B)  The more active a child is, the fewer accidents he or she will have 
C)  Highly active children are at greater risk of accidents 
D)  a and c 
A)  High activity level causes an increase in accidents 
B)  The more active a child is, the fewer accidents he or she will have 
C)  Highly active children are at greater risk of accidents 
D)  a and c

Question 4

For a chi-square test with one degree of freedom, what is a common effect size indicator of the strength of the relationship between the two variables?

Accepted Answer

A common effect size indicator

Question 5

For chi-square, a common effect size indicator of the strength of the relationship between the two variables is:

Accepted Answer

A)  Phi 
B)  Relative risk 
C)  Risk difference 
D)  Odds ratio 
E)  All of the above
F) None of the above, chi-squares do not have effect size measures 
A)  Phi 
B)  Relative risk 
C)  Risk difference 
D)  Odds ratio 
E)  All of the above
F) None of the above, chi-squares do not have effect size measures

Question 6

A researcher has two continuous variables (IV and DV) that are ranked. She uses the Spearman correlation to analyze her data. She describes the relation between the IV and the DV as positive and monotonic. This means that:

Accepted Answer

A)  There is a linear relation between the two variables 
B)  There is no relation between the two variables 
C)  As one variable increases, the other variable increases, but not necessarily by the same amount 
D)  As one variable increases, the other variable increases in a directly proportional fashion 
A)  There is a linear relation between the two variables 
B)  There is no relation between the two variables 
C)  As one variable increases, the other variable increases, but not necessarily by the same amount 
D)  As one variable increases, the other variable increases in a directly proportional fashion

Question 7

In a correlation matrix:

Accepted Answer

A)  A table of correlation coefficients shows how all the variables are related to each other 
B)  A diagonal separates negative from positive correlation coefficients 
C)  Critical values of a correlation coefficient must exceed .7 to be statistically significant 
D)  Effect sizes cannot be obtained 
A)  A table of correlation coefficients shows how all the variables are related to each other 
B)  A diagonal separates negative from positive correlation coefficients 
C)  Critical values of a correlation coefficient must exceed .7 to be statistically significant 
D)  Effect sizes cannot be obtained

Question 8

When using a chi-square, there is always an obvious independent variable.

Accepted Answer

A) True 
 B)False

Ordered data should be divided into a few categories, if possible.

The Pearson product moment correlation tests the association between two continuous variables.

Jason Fleece has 50 mothers rate their toddlers' activity level. Dr. Fleece also examines each child's medical history and counts the number of accidents that required a visit to the doctor. He finds that activity level predicts the number of accidents r = +.68. He can conclude that:

For a chi-square test with one degree of freedom, what is a common effect size indicator of the strength of the relationship between the two variables?

For chi-square, a common effect size indicator of the strength of the relationship between the two variables is:

A researcher has two continuous variables (IV and DV) that are ranked. She uses the Spearman correlation to analyze her data. She describes the relation between the IV and the DV as positive and monotonic. This means that:

In a correlation matrix:

When using a chi-square, there is always an obvious independent variable.

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental Designs

Single-Subject Designs

Nonexperimental Approachesdesigns

Internal Validity

Sampling and Introduction to External Validity

Measurement and Descriptive Statistics

Measurement Reliability

Measurement Validity

Types of Data Collection Techniques

Ethical Issues in Conducting the Study

Practical Issues in Data Collection and Coding

Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach

Making Inferences From Sample Data II: the Evidence-Based Approach

General Design Classifications for Selection of Difference Statistical Methods

Selection of Appropriate Statistical Methods: Integration of Design and Analysis

Data Analysis and Interpretation: Basic Difference Questions

Analysis and Interpretation of Complex Research Questions

Evaluating Research Validity: Part I

Evaluating Research Validity: Part II

Evaluating Research for Evidence-Based Practice

Writing the Research Report

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Exam 21: Analysis and Interpretation of Basic Associational Research Questions

Ordered data should be divided into a few categories, if possible.

The Pearson product moment correlation tests the association between two continuous variables.

Jason Fleece has 50 mothers rate their toddlers' activity level. Dr. Fleece also examines each child's medical history and counts the number of accidents that required a visit to the doctor. He finds that activity level predicts the number of accidents r = +.68. He can conclude that:

For a chi-square test with one degree of freedom, what is a common effect size indicator of the strength of the relationship between the two variables?

For chi-square, a common effect size indicator of the strength of the relationship between the two variables is:

A researcher has two continuous variables (IV and DV) that are ranked. She uses the Spearman correlation to analyze her data. She describes the relation between the IV and the DV as positive and monotonic. This means that:

In a correlation matrix:

When using a chi-square, there is always an obvious independent variable.

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental Designs

Single-Subject Designs

Nonexperimental Approachesdesigns

Internal Validity

Sampling and Introduction to External Validity

Measurement and Descriptive Statistics

Measurement Reliability

Measurement Validity

Types of Data Collection Techniques

Ethical Issues in Conducting the Study

Practical Issues in Data Collection and Coding

Making Inferences From Sample Data I: The Null Hypothesis Significance Testing Approach

Making Inferences From Sample Data II: the Evidence-Based Approach

General Design Classifications for Selection of Difference Statistical Methods

Selection of Appropriate Statistical Methods: Integration of Design and Analysis

Data Analysis and Interpretation: Basic Difference Questions

Analysis and Interpretation of Complex Research Questions

Evaluating Research Validity: Part I

Evaluating Research Validity: Part II

Evaluating Research for Evidence-Based Practice

Writing the Research Report

Filters