Dependent variable |
• Dependent variables are described with operational and replicable precision |
• Each dependent variable is measured with a procedure that generates a quantifiable index |
• Dependent variables are measured repeatedly over time |
• In the case of remote data capture, the identity of the source of the dependent variable should be authenticated or validated [3] |
Independent variable |
• Independent variable is described with replicable precision |
• Independent variable is systematically manipulated and under the control of the experimenter |
• Overt measurement of the fidelity of implementation of the independent variable is highly desirable |
Baseline |
• 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/compare against the pattern of future performance, if introduction or manipulation of the independent variable did not occur |
• Baseline conditions are described with replicable precision |
Experimental control/internal validity |
• The design provides at least three demonstrations of experimental effect at three different points in time |
• The design controls for common threats to internal validity (e.g., permits elimination of rival hypotheses) |
• There are a sufficient number of data points for each phase (e.g., minimum of five) for each participant |
• The results document a pattern that demonstrates experimental control |
Social validity |
• The dependent variable is socially important |
• The magnitude of change in the dependent variable resulting from the intervention is socially important |
• The methods are acceptable to the participant |