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Preface | |
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Epigram | |
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The Single Case in Basic and Applied Research: An Historical Perspective | |
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Introduction | |
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Beginnings in Experimental Physiology and Psychology | |
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Origins of the Group Comparison Approach | |
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The influence of inferential statistics | |
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Development of Applied Research: The Case Study Method | |
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Early reports of percentage of success in treated groups | |
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The development of the group comparison approach in applied research | |
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Limitations of Early Group Comparison Approaches | |
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Ethical objections and practical problems | |
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Averaging of results | |
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Generality of findings | |
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Intersubject variability | |
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Early Alternative Approaches to Applied Research | |
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Naturalistic studies | |
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Process research | |
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The Scientist-Practitioner Split | |
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A Return to the Individual | |
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The role of the case study | |
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The representative case | |
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Shapiro's methodology in the clinic | |
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Quasi-experimental designs | |
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Chassan and intensive designs | |
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The Experimental Analysis of Behavior | |
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General Issues in a Single-Case Approach | |
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Introduction | |
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Variability | |
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Variability in basic research | |
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Variability in applied research | |
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Clinical vs. statistical significance | |
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Highlighting variability in the individual | |
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Repeated measures | |
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Rapidly changing designs | |
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Experimental Analysis of Sources of Variability Through Improvised Designs | |
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Subject fails to improve | |
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Subject improves "spontaneously" | |
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Subject displays cyclical variability | |
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Searching for "hidden" sources of variability | |
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Behavior Trends and Intrasubject Averaging | |
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Relation of Variability to Generality of Findings | |
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Generality of Findings | |
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Types of generality | |
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Problems in generalizing from a single-case | |
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Some Limitations of Group Designs in Establishing Generality of Findings | |
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Random sampling and inference in applied research | |
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Problems in generalizing from the group to the individual | |
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Improving generality of findings to the individual through homogeneous groups: logical generalization | |
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Homogeneous Groups Versus Replication of a Single-Case Experiment | |
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Direct replication and treatment/no-treatment control group design | |
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Systematic and clinical replication and factorial designs | |
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Blurring the Distinction Between Design Options | |
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General Procedures in Single-Case Research | |
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Introduction | |
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Repeated Measurement | |
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Practical implications and limitations | |
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Choosing a Baseline | |
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Baseline stability | |
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Examples of baselines | |
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Changing One Variable at a Time | |
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Correct and incorrect applications | |
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Exceptions to the rule | |
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Issues in drug evaluation | |
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Reversal and Withdrawal | |
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The reversal design | |
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Reversal and withdrawal designs compared | |
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Withdrawal of treatment | |
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Limitations and problems | |
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Length of Phases | |
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Individual and relative length | |
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Carryover effects | |
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Cyclic variation | |
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Evaluation of Irreversible Procedures | |
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Exceptions | |
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Assessing Response Maintenance | |
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Behavior Assessment | |
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Selection of Behavior to Assess | |
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Social significance | |
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Clinical significance | |
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Organizational significance | |
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Personal significance | |
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Measurement of Behavior | |
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Primary measures: behavioral dimensionals of proximal, directly observed behavior | |
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Temporality dimensions | |
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Repeatability dimensions | |
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Products of behavior | |
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Behavior rating scales | |
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Self-reports | |
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Physiological measures | |
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Settings for Assessment | |
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Contrived versus naturalistic settings and observations | |
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A continuum of contrivance | |
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Defining the behaviors to be observed | |
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Selecting observers | |
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Technically enhanced observation | |
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Training observers | |
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Reliability and validity | |
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The Assessment of Function | |
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Summary and Conclusions | |
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Basic A-B-A Withdrawal Designs | |
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Introduction | |
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Limitations of the case study approach | |
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A-B Design | |
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A-B with follow-up | |
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A-B with multiple target measures and follow-up | |
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A-B with follow-up and booster treatment | |
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A-B-A Design | |
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A-B-A from the adult literature | |
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A-B-A from child literature | |
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A-B-A-B Design | |
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A-B-A-B from child literature | |
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A-B-A-B when phase change is not under complete experimental control | |
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A-B-A-B with unexpected improvement in baseline | |
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A-B-A-B with monitoring of concurrent behaviors | |
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A-B-A-B with no feedback to experimenter | |
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B-A-B Design | |
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B-A-B with group data | |
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B-A-B from rogerian framework | |
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A-B-C-B Design | |
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A-B-C-B from the child literature | |
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A-B-C-B in a group application and follow-up | |
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Extensions of the A-B-A Design, Uses in Drug Evaluation and Interaction Design Strategies | |
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Extensions and Variations of the A-B-A Withdrawal Design | |
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A-B-A-B-A-B Design | |
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Comparing Separate Treatment Variables/Components | |
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A-B-A-C-A-C'-A design | |
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Parametric Variations of the Same Treatment Variable/Component | |
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A-B-A-B-B[subscript 1]-B[subscript 2]-B[subscript 3]-B[subscript N] design | |
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A-B- B[subscript 1]-B[subscript 2]-A-B[subscript 1] design | |
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Drug Evaluations | |
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Issues specific to drug evaluations | |
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Design options | |
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Strategies for Studying Interaction Effects | |
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Changing Criterion Designs | |
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Multiple Baseline Designs | |
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Introduction | |
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Multiple Baseline Designs | |
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Types of multiple baseline designs | |
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Multiple baseline design across behaviors | |
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Multiple baseline design across subjects | |
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Multiple baseline across settings | |
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Variations of Multiple Baseline Designs | |
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Nonconcurrent multiple baseline design | |
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Multiple-probe technique | |
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Issues in Drug Evaluations | |
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Alternating Treatments Design | |
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Introduction | |
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History and terminology | |
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Procedural Considerations | |
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Multiple-treatment interference | |
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Counterbalancing relevant experimental factors | |
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Number and sequencing of alternations | |
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Examples of Alternating Treatments Designs | |
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Comparing treatment and no treatment conditions | |
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Comparing multiple treatments | |
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Advantages of the Alternating Treatments Design | |
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Visual Analysis of the Alternating Treatments Designs | |
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Simultaneous Treatment Design | |
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Statistical Analyses for Single-Case Experimental Designs | |
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Introduction and Overview | |
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Single-Subject Experiments and Time-Series Data | |
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The nature of time-series data | |
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Mathematical and graphical description of a time series | |
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The problem of autocorrelation | |
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Autocorrelation and human behavior | |
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General comments | |
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Specific Statistical Tests | |
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Conventional t and F tests | |
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Randomization tests | |
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Interrupted time-series analysis (ITSA) | |
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Autoregressive Integrated Moving Average (ARIMA) Models | |
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Model building process | |
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Intervention (impact) analysis | |
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ITSA modeling strategies | |
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Box-Jenkins-Tiao strategy (Box & Tiao, 1965) | |
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Full series modeling strategy | |
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Interrupted time-series experiment (ITSE) | |
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Example | |
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Intervention analysis | |
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Other statistical tests | |
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Revusky's R[subscript n] (test of ranks) | |
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Split-middle technique | |
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Double bootstrap method | |
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Evaluation of statistical tests: which test to choose? | |
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Summary and Conclusion | |
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Beyond the Individual: Direct, Systematic, and Clinical Replication Procedures | |
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Introduction | |
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Direct Replication | |
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Definition of direct replication | |
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two successful replications | |
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four successful replications with design alterations during replications | |
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mixed results in a multiple baseline design | |
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simultaneous replication in a group | |
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Guidelines for direct replication | |
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Systematic Replication | |
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Definition of systematic replication | |
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Example: differential attention in children | |
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Comment on replication | |
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Guidelines for systematic replication | |
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Clinical Replication | |
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Definition of clinical replication | |
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Example: clinical replication with autistic children | |
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Benchmarking | |
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Practice Research Networks | |
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Advantages of Replication of Single-Case Experiments | |
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Hiawatha Designs an Experiment | |
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References | |
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Subject Index | |
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Name Index | |