Dependent variable
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Dependent variables are described with operational and replicable precision |
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Each dependent variable is measured with a procedure that generates a quantifiable index |
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Dependent variables are measured repeatedly over time |
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In the case of remote data capture, the identity of the source of the dependent variable should be authenticated or validated |
Independent variable
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Independent variable is described with replicable precision |
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Independent variable is systematically manipulated and under the control of the experimenter |
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Overt measurement of the fidelity of implementation of the independent variable is highly desirable |
Baseline
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The majority of single-case research will include a baseline phase that provides repeated measurement of a dependent variable and establishes a pattern of responding that can be used to predict/compared against the pattern of future performance, if introduction or manipulation of the independent variable did not occur. |
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Baseline conditions are described with replicable precision. |
Experimental Control/Internal Validity
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The design provides at least three demonstrations of experimental effect at three different points in time. |
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The design controls for common threats to internal validity (eg, permits elimination of rival hypotheses). |
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There are a sufficient number of data points for each phase (eg, minimum of five) for each participant. |
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The results document a pattern that demonstrates experimental control. |
Social Validity
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The dependent variable is socially important. |
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The magnitude of change in the dependent variable resulting from the intervention is socially important. |
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The methods are acceptable to the participant. |