PASS BIG BCBA Exam - AKA's for

Experimental Design

Single-Subject Designs AKA - Single-Case Designs

Single-Case Designs AKA - Within-Subject Designs

Within-Subject Designs AKA - Intra-Subject Designs

Most Widely Used Design - Multiple Baseline Design

Prediction - The anticipated outcome of presently unknown measurement.

Affirmation of the consequent - If the IV were not applied, the behavior, as indicated by

baseline data, would not change. The experimenter predicts the IV will change the

behavior.

We do this of a previously predicted level of baseline responding by termination or

withdrawal of the treatment variable. - Verification

This is the essence of believability. Shows reliability of behavior change; we can make it

happen again! It is accomplished by reintroducing the IV. - Replication

When it is UNETHICAL or impractical to reverse conditions or when the behavior is

irreversible, use this design instead of a reversal design. - Multiple Baseline Design.

How to demonstrate experimental design with Multiple Baseline Design? - a functional

relation requires a change in behavior with the onset of the intervention. The more

replication (settings, subjects, behaviors), the more convincing the demonstration.

Advantages of Multiple Baseline Design - Successful intervention does not have to be

removed, evaluates generalization and is easy to implement.

Disadvantages of Multiple Baseline Design - A functional relationship is NOT directly

shown in this design. The effectiveness of the IV is demonstrated, but not information

regarding the function of the target behavior. IV may be delayed for certain ex's,

settings, or subjects. Takes resources to implement properly.

The behavior that this design presents must be in the clients repertoire - Changing

Criterion Design

Advantages of Changing Criterion Design - It does not require reversal of improved

behavior and it enables an experimental analysis within the context of a gradually

improving behavior.