Part I: The Applied Importance of ResearchChapter 1: Why Conduct Experiments? What Is an Experiment? Experimental Progress Assumptions of ResearchersChapter 2: Translational Foundations Historical Antecedents to Single-Case Designs The Emergence of Behavior Analysis Linking Educational Research and Behavior AnalysisPart II: Strategic IssuesChapter 3: Functional Relations Independent and Dependent Variables Extraneous Variables Baseline Demonstrating Functional RelationsChapter 4: Direct and Systematic Replication Direct Replication Systematic Replication Failures to ReplicateChapter 5: Experimental Questions Demonstration Questions Comparison Questions Parametric Questions Component QuestionsChapter 6: Evidence-based Practices Defining Evidence-Based Practice Contributions of Single-Case Designs Research Design Quality Indicators Thresholds for Cumulative EvidencePart III: MeasurementChapter 7: Quantifying Behavior Benefits of Counting Behavior Dimensional Quantities of Behavior Choosing Dimensional QuantitiesChapter 8: Recording Systems Recording Systems Steps in Developing a Recording System Types of Data Collection Procedures Additional Considerations in Recording SystemsChapter 9: Variable Integrity Why Collect Interobserver Agreement? Different Formulas for Calculating Interobserver Agreement Levels and Frequencies of Interobserver Agreement Procedural FidelityPart IV: Design TacticsChapter 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 LimitationsChapter 11: Multielement Designs Multielement Designs Tactical Issues and Multielement Designs Strengths and LimitationsChapter 12: Multiple Baseline Designs Basic Multiple-Baseline Designs Multiple-Baseline Design Variants Strengths and LimitationsChapter 13: Repeated Acquisition Designs Repeated-Acquisition Designs Methodological Issues in Repeated-Acquisition Designs Strengths and LimitationsChapter 14: Brief Experimental Designs Brief Experimental Designs Variants of Brief Experimental Designs Strengths and LimitationsChapter 15: Combined Designs Combined Designs Tactics in Combined Design Strengths and LimitationsPart V: Analyzing DataChapter 16: Visual Analysis Elements of a Graph Visual Inspection of Graphs Using Graphs to Analyze Data Training People to Visually Analyze DataChapter 17: Quantitative Analysis Descriptive Techniques Inferential Techniques Integrative TechniquesChapter 18: Social Validity What Is Social Validity? Approaches to Social Validity Trends in the Use of Social Validity ConclusionReferencesIndex.