Question 1

The d family of effect size measures are expressed in standard deviation units.

Accepted Answer

A) True 
 B)False

Question 2

When interpreting an effect size:

Accepted Answer

A)  Regardless of the type of effect size (e.g., r, d, etc.), the value should be interpreted as a standard deviation. 
B)  Effect sizes from previous research should be considered so that context is considered. 
C)  Effect sizes do not need to be interpreted, only reported. 
D)  All of the above. 
A)  Regardless of the type of effect size (e.g., r, d, etc.), the value should be interpreted as a standard deviation. 
B)  Effect sizes from previous research should be considered so that context is considered. 
C)  Effect sizes do not need to be interpreted, only reported. 
D)  All of the above.

Question 3

Reed R. Rabbit is interested in whether phonics or whole-word instruction more effectively teaches children how to read. He decides to do a meta-analysis of prior studies. Which of the following issues should concern him when doing this meta-analysis?

Accepted Answer

A)  Whole-word instruction subsumes a number of different strategies. 
B)  Experimental studies yield different effect sizes than comparative studies. 
C)  Few studies have been published that compare the two instructional approaches. 
D)  Some studies report correlation coefficients (r) whereas others report a mean difference (d). 
E)  a, b, and c 
A)  Whole-word instruction subsumes a number of different strategies. 
B)  Experimental studies yield different effect sizes than comparative studies. 
C)  Few studies have been published that compare the two instructional approaches. 
D)  Some studies report correlation coefficients (r) whereas others report a mean difference (d). 
E)  a, b, and c

Question 4

Standardized effect sizes:

Accepted Answer

A)  Cannot be computed regardless of the specific measurement scale used in the study. 
B)  Can be computed only when exact measurement scales are used in the study. 
C)  Cannot be computed unless two or more measurement scales are used in the study. 
D)  Can be computed regardless of the specific measurement scale used in the study. 
A)  Cannot be computed regardless of the specific measurement scale used in the study. 
B)  Can be computed only when exact measurement scales are used in the study. 
C)  Cannot be computed unless two or more measurement scales are used in the study. 
D)  Can be computed regardless of the specific measurement scale used in the study.

Question 5

Effect sizes can be computed from an individual study, even if the means and standard deviations are not presented.

Accepted Answer

A) True 
 B)False

Question 6

In the social sciences, unstandardized effect sizes are routinely reported.

Accepted Answer

A) True 
 B)False

Question 7

Confidence intervals that are small:

Accepted Answer

A)  Increase preciseness. 
B)  Decrease preciseness. 
C)  Do not indicate preciseness. 
D)  More information is needed to estimate the preciseness of a confidence interval. 
A)  Increase preciseness. 
B)  Decrease preciseness. 
C)  Do not indicate preciseness. 
D)  More information is needed to estimate the preciseness of a confidence interval.

Question 8

If an infinite number of confidence intervals are created, they would all be identical.

Accepted Answer

A) True 
 B)False

Question 9

Large sample sizes may yield statistically significant results with very weak relationships.

Accepted Answer

A) True 
 B)False

Question 10

Most research studies conducted in the social sciences unfortunately utilize a convenience sample.

Accepted Answer

A) True 
 B)False

Question 11

The effect size:

Accepted Answer

A)  Indicates the strength of the relationship between the IV and DV 
B)  Is influenced by whether the study is statistically significant or not 
C)  Is dependent on the study's sample size 
D)  a and c 
A)  Indicates the strength of the relationship between the IV and DV 
B)  Is influenced by whether the study is statistically significant or not 
C)  Is dependent on the study's sample size 
D)  a and c

Question 12

The d family of effect size measures focuses on the magnitude of the difference between the means of two groups.

Accepted Answer

A) True 
 B)False

The d family of effect size measures are expressed in standard deviation units.

When interpreting an effect size:

Reed R. Rabbit is interested in whether phonics or whole-word instruction more effectively teaches children how to read. He decides to do a meta-analysis of prior studies. Which of the following issues should concern him when doing this meta-analysis?

Standardized effect sizes:

Effect sizes can be computed from an individual study, even if the means and standard deviations are not presented.

In the social sciences, unstandardized effect sizes are routinely reported.

Confidence intervals that are small:

If an infinite number of confidence intervals are created, they would all be identical.

Large sample sizes may yield statistically significant results with very weak relationships.

Most research studies conducted in the social sciences unfortunately utilize a convenience sample.

The effect size:

The d family of effect size measures focuses on the magnitude of the difference between the means of two groups.

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

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 Basic Associational Research 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 17: Making Inferences From Sample Data II: the Evidence-Based Approach

The d family of effect size measures are expressed in standard deviation units.

When interpreting an effect size:

Reed R. Rabbit is interested in whether phonics or whole-word instruction more effectively teaches children how to read. He decides to do a meta-analysis of prior studies. Which of the following issues should concern him when doing this meta-analysis?

Standardized effect sizes:

Effect sizes can be computed from an individual study, even if the means and standard deviations are not presented.

In the social sciences, unstandardized effect sizes are routinely reported.

Confidence intervals that are small:

If an infinite number of confidence intervals are created, they would all be identical.

Large sample sizes may yield statistically significant results with very weak relationships.

Most research studies conducted in the social sciences unfortunately utilize a convenience sample.

The effect size:

The d family of effect size measures focuses on the magnitude of the difference between the means of two groups.

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

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 Basic Associational Research 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