Alternating/Multielement Design Flashcards
The alternating treatments design controls for…
A. Poor implementation procedures
B. Stability
C. Instability
D. Multiple treatment interface
C
The alternating treatment design controls for…
A. Efficiency effects
B. Sequence effects
C. Generalization affects
D. Implementation issues
B
With the alternating treatments to sign, multiple treatment interference is addressed by…
A. Making the conditions highly discriminable
B. Continuing the baseline
C. Conducting a component analysis
D. Making the conditions highly generalizable
A
With an alternating treatments/multi element design, treatment effects…
A. Cannot be proven
B. Cannot be replicated
C. Can occur quickly
D. Are temporary
C
The alternating treatments design controls for…
A. Multiple treatment interference
B. Generalization effects
C. Stability
D. Maturation
D
Which circumstance would be fatal to the internal validity of your alternating treatments design experiment?
A. A baseline is run on only half of the participants and for the other half, baseline is in effect for only three sessions
B. A couple of subjects drop out
C. Some subjects consistently receive intervention X while others consistently receive intervention Y
D. The experiment ends prematurely
C
With an alternating treatment/multi element design…
A. Loss of a subject (attrition) is always fatal
B. Unstable data is always fatal
C. And initial baseline condition is required
D. Early termination of the study is often not fatal
D
Using a multi element design, you want to compare peer mediated reinforcement to teacher mediated reinforcement. What might you do?
A. Keep reinforcers out of sight until the target behavior occurs
B. Associate one type of reinforcer with peers and another type with teachers
C. Make sure the student can see who delivers each reinforcer
D. Have teachers and peers deliver reinforcers in a different manner
C
Alternating treatments design data indicating behavior at a particular level…
A. Also reflect behavior at that level in the absence of the other condition
B. Do not necessarily reflect behavior at that level in the absence of the other condition
C. Reflect a true effect if the other condition is a baseline condition
D. Do not necessarily reflect behavior at that level in the presence of the other condition
B
Multi element design data show reduced aggression. At the end of the study you eliminate the ineffective condition.
A. You might see a change due to multiple treatment interference in the previous condition
B. You might see a change attributable to baseline logic
C. You will demonstrate experimental control if an abrupt change in level or trend occurs
D. Multiple treatment interference reduces the probability of a change in behavior
A
With an alternating treatments/multi element design, treatment effects…
A. Should be reversed early
B. Do not have to be reversed
C. Should be reversed at least twice
D. May be reversed at the discretion lead investigator
B
And alternating treatments design…
A. Could be used with data that are not stable
B. Requires an initial baseline condition
C. Requires stable data prior to changing conditions
D. Could exacerbate sequence effects
A
With a multi element/alternating treatments design graph, experimental control is demonstrated when…
A. The two data paths increase or decrease at the same times and levels
B. One data path is consistently higher than the other data path
C. One datapath is consistently stable relative to the other data path
D. Abrupt changes and level or trend occur at the onset of the other condition
B
With the alternating treatments design, discrimination between conditions is important to…
A. Maximize sequence effects
B. Minimize multiple treatment interference
C. Minimize frustration of students
D. Make up for the lack of a baseline
B
With the alternating treatments design, discrimination between conditions is important to…
A. Maximize sequence effects
B. Minimize multiple treatment interference
C. Minimize frustration of students
D. Make up for the lack of a baseline
B
C (chart 1)
A functional relation is evidenced by a consistent separation between the two series. In chart one, there are 7 of 10 data points higher in one series than the other series. what would further strengthen the demonstration of experimental control would be a reduction in variability of the higher data series. Baseline provides a comparison condition, but it is not instrumental in demonstrating experimental control.
B (chart 2)
C (chart 1)
