Baseline logic is a cornerstone of singlesubject experimental designs allowing researchers to demonstrate experimental control It comprises three main components prediction verification and replication Prediction is the statement of the anticipated outcome of a presently unknown or future measurement Based on stable baseline data the researcher predicts that the behavior would continue in the same pattern if no intervention were introduced Verification is the process of demonstrating that the prior level of baseline responding would have remained unchanged had the independent variable not been introduced It confirms the accuracy of the initial prediction made during the baseline phase For example in a multiplebaseline design when an intervention is applied to the first participantsettingbehavior while the baseline continues for a second the continued stable baseline for the second element verifies the prediction that the behavior would not change without the intervention Replication is the repeating of the independent variables effect on the dependent variable This demonstrates the reliability and generality of the experimental control and is often achieved by reintroducing the intervention or applying it across different subjects settings or behaviors Validation is not a core component of baseline logic It refers to ensuring that a measurement system or intervention accurately assesses or addresses what it is intended to