Experimental Design
Domain D covers variables, validity and the single-case designs used to show functional relations. Items ask which design fits a situation and what a data pattern says about experimental control.
Variables and validity
The independent variable is manipulated; the dependent variable is measured. Internal validity concerns whether the manipulation caused the change; external validity concerns how far the result extends. Single-case designs control threats to internal validity by repeated measurement and replication within the individual.
Single-case logic
Each participant serves as their own control, with repeated measurement. Baseline logic has three parts: prediction, verification and replication. Visual analysis of level, trend and variability within and across phases is how these are judged.
Choosing a design
The outline names reversal, multiple-baseline, multielement and changing-criterion designs. The choice depends on whether behavior can reverse and on what question is being asked. Each design shows control in a different way, so match the design to the behavior and the question.
Kinds of analysis
Beyond showing that an intervention works, researchers ask which parts matter, which treatment works better, and how much of a variable is needed. Each asks a different question, so name the question before naming the analysis. They are often run after an effective treatment package has been identified.
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