research design Flashcards
last quiz
what is the beauty withdraw design
you can reintroduce your conditions over and over again
what is the benefit of doing the withdrawal design
you are able to examen reliability of effect
withdrawn design
to demonstrate a functional relation by showing change in behavior between A condition and B condition.
AB’A
ABA
Reversal Design ( forcing behavior to go back to baseline)
Withdrawn Design ( simply taking out independent variable)
In order to accomplish the purpose of research design (to separate the effects of independent variable from everything else) you must have?
have at least two condition that are identical except for presence or absence of independent variable.
what is variation withdraw design?
- the A conditional alone ( is for apply setting get the characteristic of the behavior) there is only one condition. not a research design
- the B condition alone ( in applied setting, no baseline, just introduce treatment)
- AB design ( yes is a research design you have the two conditions) cant examen reliability of effect
Even in apply setting, why should you want to see the reliability of the effect?
- you are more sure and becomes a tool to use with other clients.
- being more sure that what you are doing is necessary (the kid cares it can is I t beneficial to the person)
what are a prediction, verification, and replication?
Predict, behavior will not change unless an independent variable is introduced and has control over behavior.
Verifying that changes in behavior is due to independent variable or not.
Once you introduce B2 condition you are replicating.
what is changing condition design
(another veriation of the withdraw design) you can have multiple treatment conditions without replication.
A-B-C-D-E
(is missing the reliability of the effect )
the multiple treatment design
you multiple treatment condition but it does have replication.
A-B-A-C-A-D-A-E-A
changing craterian design
each condition is a changing in the value in the trement conding or changing the perametor (FR(x)
DRO (1M)
DRO (2M)
DRO (3M)
What are the steps to set the changing criteria design?
Step 1: determine your terminal goal, when you reach end of all criteria change where do you want your behavior to be. for example I want children to complete 30 math problem in 20 minutes
Step 2: determine the criteria level for your first sub face. You have baseline then independent variable.
What are the approaches to use for determining the initial criteria level?
First approach: taking the average of baseline
Second approach: taking the average + or - 50% of baseline
Third approach: taking the highest or lowest data point in baseline
Fourth approach: take mean of upper variability level if you are going up but take mean of lower variability level if going down. this way subject is not coming into contacting with a criteria level that they haven’t done in the past.
how long do you run each sub-phase?
you run until you get a steady-state.
what happens if your criteria level is changing too small?
I won’t be able to demonstrate experimental control, may take too long to get to the terminal goal.