Question 1

Measurement issues with single-subject designs include:

Accepted Answer

A)  The number of responses per period/session must be the same 
B)  The number of measurement periods between one phase and another must be the same 
C)  The measurement instrument must yield a sufficient number of responses per session 
D)  a and c 
A)  The number of responses per period/session must be the same 
B)  The number of measurement periods between one phase and another must be the same 
C)  The measurement instrument must yield a sufficient number of responses per session 
D)  a and c

Question 2

What are the problems with conducting meta-analysis with single-subjects designs?

Accepted Answer

One problem is there is not an agreed up

Question 3

The multiple baseline across behaviors design is successful when the treatments affect each targeted behavior independently.

Accepted Answer

A) True 
 B)False

Question 4

The minimum reversal design has three baselines (A) and three treatments (B).

Accepted Answer

A) True 
 B)False

Question 5

The key to multiple-baseline designs is:

Accepted Answer

A)  Some external event only affects one behavior, participant, or setting 
B)  The researcher observes the effects on one baseline while the other 2 baselines remain unchanged 
C)  One baseline is recorded at a time 
D)  The researcher can eliminate the ethical problems common with ABAB designs 
A)  Some external event only affects one behavior, participant, or setting 
B)  The researcher observes the effects on one baseline while the other 2 baselines remain unchanged 
C)  One baseline is recorded at a time 
D)  The researcher can eliminate the ethical problems common with ABAB designs

Measurement issues with single-subject designs include:

What are the problems with conducting meta-analysis with single-subjects designs?

The multiple baseline across behaviors design is successful when the treatments affect each targeted behavior independently.

The minimum reversal design has three baselines (A) and three treatments (B).

The key to multiple-baseline designs is:

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental 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 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 6: Single-Subject Designs

Measurement issues with single-subject designs include:

What are the problems with conducting meta-analysis with single-subjects designs?

The multiple baseline across behaviors design is successful when the treatments affect each targeted behavior independently.

The minimum reversal design has three baselines (A) and three treatments (B).

The key to multiple-baseline designs is:

Definitions, Purposes, and Dimensions of Research

Planning a Quantitative Research Project

Variables, Research Questions, and Hypotheses

Research Approaches

Randomized Experimental and Quasi-Experimental 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 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