Quiz 5 (Ch. 6) Flashcards
3 types of multiple baseline designs
- Across individuals or groups of individuals. Most common and most reliable. Bx need not be independent and no need to worry about generalization
- Across bx. The bx must be independent. That means they are not members of the same response class (at the moment). Try to select very different baseline that appear unrelated
- Across situations. Hope the stimulus control does not generalize to the other situations
What is the difference between a concurrent and non-concurrent multiple baseline design?
Concurrent: data are being collected for all baselines each day
Non-concurrent: data are not collected concurrently and may even be collected sequentially
What are two advantages of a multiple baseline design?
1.Do not require a reversal
2.Sometimes there are clinical and ethical reasons not to reverse
What is the most commonly used replication based research design (not counting the AB designs)?
Multiple baseline
What is a major pitfall of the multiple baseline across behaviors design?
The behaviors need to be independent. If they are members of the same response class or chained together it will not work.
What is the major pitfall of the multiple baseline across situations or settings design?
It will not work if there is generalization across the settings. Sometimes common elements such as the presence of the same person in both setting can produce generalization across settings
Why would you add a return to baseline condition to a multiple baseline design?
To determine whether the effects of the tx actually maintain
Define a counterbalance multiple baseline design that compares treatment B, C and B+C.
In one set you would begin with baseline (the A condition), then introduce treatment B alone, then introduce the 2 tx together (tx B+ tx C) and in the other set you would follow the sequence baseline (A), followed by tx C, followed by B+C
How you would define a multi-element design (alternating treatments design)?
Both tx are given QD with the order of tx being determined randomly QD
Why is the multi-element design (sometimes called an alternating treatments design) usually the best design to use when you wish to compare the efficacy of two treatments?
It reduces the impact of variables that may vary daily but this is not the same as controlling these variables