mod 10 Multiple Baseline and Changing Criterion Research Designs (Lugo) Flashcards
If you are measuring the effects of an intervention on three different classroom behaviors for a single student, this is an example of which multiple baseline form?
Multiple baseline across settings
Multiple baseline across behaviors
Multiple baseline across participants
Multiple baseline across implementers
Multiple baseline across behaviors
The fact that the data paths in the green boxes remain unchanged after the independent variable is implemented for Person A is an example of:
Verification
When should the independent variable be applied for Participant #2 in a multiple baseline across participants design?
-At the same time as the application of the independent variable for Participant #1
-When you have collected 3 data points for Participant #1 in the treatment phase
-When steady state responding is reached for Participant #1 in the treatment phase
-When you have collected 3 data points for Participant #2 in the baseline phase
-When steady state responding is reached for Participant #1 in the treatment phase
A ____________ design is appropriate to use when the extended recording of baseline data is unnecessary or inefficient.
multiple probe
True or False: A multiple baseline design involves the implementation of a different independent variable across participants, behaviors, or settings.
False
When should you increase the criterion in a changing criterion design?
When another participant’s responding is consistently meeting the current criterion
After 3 sessions
When the current criterion level of responding is consistently being met
At any time
When the current criterion level of responding is consistently being met
True or False: In a changing criterion design, you can move back to a lower criterion.
True
When you increase the criterion for reinforcement in a changing criterion design, you would like to see the data ____________.
increase in variability
return to baseline level
remain unchanged
hover around the new criterion
hover around the new criterion
What are some instances where a changing criterion design would be appropriate? Check all that apply.
When you are trying to increase the accuracy of a response
When you are trying to teach a new response that is not in the participant’s repertoire
When you are shaping behavior
When you are trying to increase the rate of a response
When you are trying to increase the rate of a response
The green box labeled 70%, after the 100% intervention, is an example of verification because
We already have data at the 70% criterion, so the data in the green box verify the prediction that the data would look similar to that seen previously at the 70% criterion.