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Full 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.
Contents
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
