Single-Case Designs for Applied Research
1st Edition
Published on 3. April 2025
Book
Paperback/Softback
352 pages
978-1-0719-1598-1 (ISBN)
Description
Single-Case Designs for Applied Research by Craig Kennedy helps readers explore single-subject research designs, grounded in real-world examples drawn from classic and contemporary research in education and beyond. This text gives readers precise and highly applicable information in single-case, or single-subject, research designs so readers see this method in practice.
Reviews / Votes
Kennedy has finally written a new edition! No more scrounging for 2005 copies. Kennedy provides a thorough and accessible introduction to single case research design. The text is an excellent reference or course text. -- Brittany L. Hott This book not only reviews single case research designs, but it builds the foundational knowledge necessary for students to understand why we conduct research as well as how to conduct single subject research. -- Molly E. Milam This textbook is excellent for a group of students who have been exposed to applied behavior analysis and education research content. The textbook dives deep into fundamental elements of single-case research. Kennedy has a voice that is readable, striking as unique and distinct. There are many bits of information peppered in from historical and multi-disciplinary perspectives. -- Jennifer Ninci I really like how the wording and writing of this chapter are relatable to professionals and students. I don't often see the use of relevant jargon and concepts to real examples students can understand from their work as teachers in the field. -- Caroline DiPipi-Hoy A comprehensive text that incorporates recent advances in data analysis for single case research studies and addresses issues of diversity, equity, and inclusion. -- Susan R. Copeland This useful textbook offers background information, fundamental ideas, and a comprehension of pertinent problems in applied behavior analysis, more specifically in single subject research designs. It provides an overview of the main categories of single subject research designs while combining explanation and application. The overview of the history is followed by a detailed summary of the findings from relevant research that have been published in scholarly literature as it relates to each design. -- Sudha Ramaswamy This text provides an accessible approach to teaching single-subject methodology to students while clarifying definitions and reviewing examples from a multi-disciplinary perspective. -- Joanna B. ThompsonMore details
Language
English
Place of publication
Thousand Oaks
United States
Publishing group
Sage Publications Inc Ebooks
Target group
College/higher education
Dimensions
Height: 232 mm
Width: 187 mm
Weight
630 gr
ISBN-13
978-1-0719-1598-1 (9781071915981)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Craig H. Kennedy is a professor of educational psychology and pediatrics at the University of Connecticut. He received his terminal degree from the University of California, Santa Barbara (Education), master's degree from the University of Oregon (Special Education), and bachelor's degree from the University of California, Santa Barbara (Experimental Psychology). He spent much of his academic career at Vanderbilt University where he was a professor of special education and pediatrics and served as Department Chair and Senior Associate Dean. He has also served as Provost and Executive Vice President of Academic Affairs at the University of Connecticut and Dean of Education at the University of Georgia.
He is a board-certified behavior analyst whose research focuses on health conditions and challenging behavior in people with autism and other neurodevelopmental disabilities. His early research focused on establishing and developing video modeling and peer support strategies as evidence-based practices. He is currently Editor-in-Chief of Research and Practice for Persons with Severe Disabilities and is a former Associate Editor of the Journal of Applied Behavior Analysis and Journal of Behavioral Education. He is a long-time member of the American Psychological Association (APA), Association for Behavior Analysis, and TASH. He is also the inaugural recipient of the B. F. Skinner New Researcher Award from the APA and Alice H. Hayden Early Career Award from TASH. During his career he has published over 180 scholarly papers and secured over $17M in extramural support for his teaching, research, and service.
He is a board-certified behavior analyst whose research focuses on health conditions and challenging behavior in people with autism and other neurodevelopmental disabilities. His early research focused on establishing and developing video modeling and peer support strategies as evidence-based practices. He is currently Editor-in-Chief of Research and Practice for Persons with Severe Disabilities and is a former Associate Editor of the Journal of Applied Behavior Analysis and Journal of Behavioral Education. He is a long-time member of the American Psychological Association (APA), Association for Behavior Analysis, and TASH. He is also the inaugural recipient of the B. F. Skinner New Researcher Award from the APA and Alice H. Hayden Early Career Award from TASH. During his career he has published over 180 scholarly papers and secured over $17M in extramural support for his teaching, research, and service.
Content
Part I: The Applied Importance of Research
Chapter 1: Why Conduct Experiments?
What Is an Experiment?
Experimental Progress
Assumptions of Researchers
Chapter 2: Translational Foundations
Historical Antecedents to Single-Case Designs
The Emergence of Behavior Analysis
Linking Educational Research and Behavior Analysis
Part II: Strategic Issues
Chapter 3: Functional Relations
Independent and Dependent Variables
Extraneous Variables
Baseline
Demonstrating Functional Relations
Chapter 4: Direct and Systematic Replication
Direct Replication
Systematic Replication
Failures to Replicate
Chapter 5: Experimental Questions
Demonstration Questions
Comparison Questions
Parametric Questions
Component Questions
Chapter 6: Evidence-based Practices
Defining Evidence-Based Practice
Contributions of Single-Case Designs
Research Design Quality Indicators
Thresholds for Cumulative Evidence
Part III: Measurement
Chapter 7: Quantifying Behavior
Benefits of Counting Behavior
Dimensional Quantities of Behavior
Choosing Dimensional Quantities
Chapter 8: Recording Systems
Recording Systems
Steps in Developing a Recording System
Types of Data Collection Procedures
Additional Considerations in Recording Systems
Chapter 9: Variable Integrity
Why Collect Interobserver Agreement?
Different Formulas for Calculating Interobserver Agreement
Levels and Frequencies of Interobserver Agreement
Procedural Fidelity
Part IV: Design Tactics
Chapter 10: A-B-A-B Designs
A-B-A-B Designs
B-A-B Designs
A-B-C and Associated Designs
Changing-Criterion Design
Strengths and Limitations
Chapter 11: Multielement Designs
Multielement Designs
Tactical Issues and Multielement Designs
Strengths and Limitations
Chapter 12: Multiple Baseline Designs
Basic Multiple-Baseline Designs
Multiple-Baseline Design Variants
Strengths and Limitations
Chapter 13: Repeated Acquisition Designs
Repeated-Acquisition Designs
Methodological Issues in Repeated-Acquisition Designs
Strengths and Limitations
Chapter 14: Brief Experimental Designs
Brief Experimental Designs
Variants of Brief Experimental Designs
Strengths and Limitations
Chapter 15: Combined Designs
Combined Designs
Tactics in Combined Design
Strengths and Limitations
Part V: Analyzing Data
Chapter 16: Visual Analysis
Elements of a Graph
Visual Inspection of Graphs
Using Graphs to Analyze Data
Training People to Visually Analyze Data
Chapter 17: Quantitative Analysis
Descriptive Techniques
Inferential Techniques
Integrative Techniques
Chapter 18: Social Validity
What Is Social Validity?
Approaches to Social Validity
Trends in the Use of Social Validity
Conclusion
References
Index
Chapter 1: Why Conduct Experiments?
What Is an Experiment?
Experimental Progress
Assumptions of Researchers
Chapter 2: Translational Foundations
Historical Antecedents to Single-Case Designs
The Emergence of Behavior Analysis
Linking Educational Research and Behavior Analysis
Part II: Strategic Issues
Chapter 3: Functional Relations
Independent and Dependent Variables
Extraneous Variables
Baseline
Demonstrating Functional Relations
Chapter 4: Direct and Systematic Replication
Direct Replication
Systematic Replication
Failures to Replicate
Chapter 5: Experimental Questions
Demonstration Questions
Comparison Questions
Parametric Questions
Component Questions
Chapter 6: Evidence-based Practices
Defining Evidence-Based Practice
Contributions of Single-Case Designs
Research Design Quality Indicators
Thresholds for Cumulative Evidence
Part III: Measurement
Chapter 7: Quantifying Behavior
Benefits of Counting Behavior
Dimensional Quantities of Behavior
Choosing Dimensional Quantities
Chapter 8: Recording Systems
Recording Systems
Steps in Developing a Recording System
Types of Data Collection Procedures
Additional Considerations in Recording Systems
Chapter 9: Variable Integrity
Why Collect Interobserver Agreement?
Different Formulas for Calculating Interobserver Agreement
Levels and Frequencies of Interobserver Agreement
Procedural Fidelity
Part IV: Design Tactics
Chapter 10: A-B-A-B Designs
A-B-A-B Designs
B-A-B Designs
A-B-C and Associated Designs
Changing-Criterion Design
Strengths and Limitations
Chapter 11: Multielement Designs
Multielement Designs
Tactical Issues and Multielement Designs
Strengths and Limitations
Chapter 12: Multiple Baseline Designs
Basic Multiple-Baseline Designs
Multiple-Baseline Design Variants
Strengths and Limitations
Chapter 13: Repeated Acquisition Designs
Repeated-Acquisition Designs
Methodological Issues in Repeated-Acquisition Designs
Strengths and Limitations
Chapter 14: Brief Experimental Designs
Brief Experimental Designs
Variants of Brief Experimental Designs
Strengths and Limitations
Chapter 15: Combined Designs
Combined Designs
Tactics in Combined Design
Strengths and Limitations
Part V: Analyzing Data
Chapter 16: Visual Analysis
Elements of a Graph
Visual Inspection of Graphs
Using Graphs to Analyze Data
Training People to Visually Analyze Data
Chapter 17: Quantitative Analysis
Descriptive Techniques
Inferential Techniques
Integrative Techniques
Chapter 18: Social Validity
What Is Social Validity?
Approaches to Social Validity
Trends in the Use of Social Validity
Conclusion
References
Index