Multiple treatment interference
In an experimental design that requires the implementation of more than one independent variable to one subject, the outcome of one treatment may be influenced by the effect of another.
In an experimental design that requires the implementation of more than one independent variable to one subject, the outcome of one treatment may be influenced by the effect of another.
When the effects of one component of a treatment package may be influenced or modified by the presence or interaction of another component.
A variation of the reversal design in which noncontingent reinforcement is used as the control condition and contrasted against contingent reinforcement. Responding is reversed to a level obtained in a
A variation of the delayed multiple baseline design in which the baselines are so delayed that there is no overlap between them, like a series of AB designs across participants.
Nonconcurrent multiple baseline across participants design Read More
A type of experiment in which the effects of the independent variable are presented and withdrawn, comparing the effects of both conditions on the dependent variable
A type of experiment in which the effects of differential amounts of the independent variable are presented and compared to the dependent variable.
Refers to an improvement in responding from the opportunity to practice a behavior, specifically during prolonged baseline measurement periods.
D-2 Distinguish between internal and external validity.
D.3 Identify threats to internal validity (e.g., history, maturation).
The projected result of a presently unknown measurement to be determined in the future, based on the belief that if current conditions persist, so will the pattern of responding, and
Prediction (in baseline logic) Read More
Refers to the changes in an individual’s behavior due to the presence of an observer.
C-8 Evaluate the validity and reliability of measurement procedures.
D.3 Identify threats to internal validity (e.g., history, maturation).
A variation of the reversal design that includes replication, in which responding is reversed to a level obtained in a previous condition by alternating between specific independent variables and baseline
Demonstrating that reintroducing the independent variable after it was withdrawn produces a return of the dependent variable to levels similar to those observed in previous independent variable Hint: This is
Replication (in baseline logic) Read More
Any experimental design in which responding is reversed to a level obtained in a previous condition by alternating between specific independent variables and baseline conditions.