05 Experimental Evaluation of Interventions / 05.03 Use Withdrawal Designs I Flashcards
One risk to the demonstration of experimental control when using a B-A-B design is that the behavior improves during the B condition and deteriorates during the A condition. improves during the B condition. doesn’t deteriorate during the B condition. doesn’t deteriorate during the A condition.
doesn’t deteriorate during the A condition. In a reversal design, to demonstrate experimental control, there has to be at least two changes in level or trend-one corresponding to the onset of baseline condition and one corresponding to the offset of the baseline condition. If the behavior doesn’t deteriorate during the A condition, there is no difference between the initial B condition and the A condition; therefore, no opportunity for a reversal. (Cooper, Heron, & Heward., 1987, pp. 174-175 Cooper, Heron, & Heward, 2007, p. 180)
“Baseline (A) and intervention C are superior to intervention B at INcreasing the behavior” is supported experimentally by which data series?
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What design is characterized by the following conditions: token system for 3 days, no intervention for 5 days, token system for 8 days?
B-A
A-B-A-B
A-B-A-C
B-A-B
B-A-B
“Intervention B is superior to baseline (A) and intervention C at DEcreasing the behavior” is supported experimentally by which data series?
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In an A-B-A design, a reversal occurs when
baseline is re-introduced and the behavior approximates the level during the original baseline.
baseline is re-introduced and the behavior is maintained.
the intervention is introduced and the behavior remains at the level during the original baseline.
baseline is re-introduced and the behavior returns to the level during the original intervention.
baseline is re-introduced and the behavior approximates the level during the original baseline.
A reversal design can be designated as
A-B-A, where A=baseline, B=intervention.
A-B, where A=baseline, B=intervention.
A-B-C-A, where A=baseline, B=intervention 1, C=intervention 2.
A-B-C, where A=baseline, B=intervention 1, C=intervention 2.
A-B-A, where A=baseline, B=intervention.
Introducing an independent variable, withdrawing it, and introducing another independent variable is characteristic of
a multiple treatments design.
a multielement design.
an alternating treatments design.
a reversal design.
a multiple treatments design.
Which design could provide the most valid non-intervention measure with a demonstration of experimental control?
B-A-B-A-B
A-B
A-B-A-B
B-A-B-A
A-B-A-B
With any design that begins with an intervention, you will never know for sure what the “natural” non-intervention (true baseline) rate would be. That is, the intervention may permanently change the behavior. Also, each reversal adds to the demonstration of experimental control. (Cooper, Heron, & Heward., 1987, pp. 163-167, 174-175; Cooper, Heron, & Heward, 2007, p. 196)
With a reversal design, each reversal
strengthens the demonstration of experimental control.
strengthens the demonstration of generalization.
weakens the demonstration of experimental control.
weakens the demonstration of generalization.
strengthens the demonstration of experimental control.
A functional relation using a reversal design calls for (minimally)
baseline followed by implementation in a step-wise fashion across subjects.
baseline and two interventions.
two alternations between the baseline and a particular intervention.
two or more subjects.
two alternations between the baseline and a particular intervention.
“Intervention B is superior to baseline (A) and intervention C at DEcreasing the behavior” is supported experimentally by which data series?
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A multiple treatments design may be designated as
A-B, where A=baseline, B=intervention
A-B-A-C-A, where A=baseline, B=intervention 1, C=intervention 2
A-B-C, where A=baseline, B=intervention 1, C=intervention 2
(all of the others)
A-B-A-C-A, where A=baseline, B=intervention 1, C=intervention 2
A reversal design can be characterized by
A-B, where A=baseline, B=intervention.
A-B-A-B, where A=baseline, B=intervention.
A-B-C, where A=baseline, B=intervention 1, C=intervention 2.
A-B-C-A, where A=baseline, B=intervention 1, C=intervention 2.
A-B-A-B, where A=baseline, B=intervention.
“Baseline (A) and intervention C are superior to intervention B at INcreasing the behavior” is supported experimentally by which data series?
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What design is characterized by the following conditions: no intervention for 3 days, token system for 5 days, no intervention for 8 days, token system for 4 days?
B-A
B-A-B
A-B-A-C
A-B-A-B
A-B-A-B
“A” represents the baseline condition, “B” represents one intervention condition, and “C” represents a second intervention condition. (Cooper, Heron, & Heward., 1987, pp. 163-167; Cooper, Heron, & Heward, 2007, pp. 176-199)