Baseline logic is a fundamental component of singlesubject research designs and consists of three key elements prediction verification and replication Prediction is the forecast that in the absence of the independent variable the target behavior would continue at its current level or trend as observed during the baseline phase It establishes the anticipated path of the behavior if no change were to occur thereby providing a basis for comparison once the intervention is introduced By predicting the future course of the behavior under baseline conditions researchers can then attribute any subsequent changes to the intervention Verification A involves demonstrating that the prior level of baseline responding would have remained unchanged had the intervention not been introduced often by returning to baseline conditions Replication B refers to repeating observed changes in behavior with further introduction or withdrawal of the independent variable across different participants settings or behaviors to enhance the generality and reliability of findings Control D is a broader concept encompassing the experimental procedures that allow for the demonstration of a functional relation between the independent and dependent variables often achieved through the manipulation of the independent variable while extraneous variables are held constant