Deck 14: The Experimental Single-System Designs: A-B-A, A-B-A-B, B-A-B

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Question
A design that turns out to be A-B-A-B-A-B also is an experimental removal design, and thereby offers the logical basis for inferring causality.
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Question
A design that turns out to be B-A is not an experimental removal design, and it cannot claim any logical basis for inferring causality.
Question
Use of an A-B-A-B design can unequivocally prove that it was your specific technique that produced the changes.
Question
The experimental design that would probably be most suited for emergency situations would be:

A) A-B-A
B) A-B-A-B
C) B-A-B
Question
The major factor determining when to change phases is:

A) Length of phases
B) Stability in the data
C) Carryover effects
D) None of the above
Question
The main thing carryover effects do when they are present is:
a) Clarify causality exists
b) Decrease stability
c) Demonstrate reversibility
d) None of the above
Question
The A-B-A-B design tends to protect from the following threat or threats to internal validity:

A) History
B) Maturation
C) Testing
D) All of the above
E) None of the above
Question
In an experimental removal design, the practitioner has to have a B intervention that attains positive improvement (in comparison with the baseline data) before removing that B and returning to an A condition (baseline).
Question
A major reason for using the B-A-B design is that one can begin to work with the problem immediately and still have a logical basis for determining both change and possible causality.
Question
A practitioner removes a successful intervention because he/she wishes to test a research hypothesis about causality, which requires that an experimental removal take place.
Question
I applied my intervention in the third phase to Angelina's walking instead of her sitting still. This design is most precisely called:

A) Removal
B) Withdrawal
C) Reversal
D) Experimental
Question
Carryover effects are always the same as irreversibility.
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Deck 14: The Experimental Single-System Designs: A-B-A, A-B-A-B, B-A-B
1
A design that turns out to be A-B-A-B-A-B also is an experimental removal design, and thereby offers the logical basis for inferring causality.
True
2
A design that turns out to be B-A is not an experimental removal design, and it cannot claim any logical basis for inferring causality.
True
3
Use of an A-B-A-B design can unequivocally prove that it was your specific technique that produced the changes.
False
4
The experimental design that would probably be most suited for emergency situations would be:

A) A-B-A
B) A-B-A-B
C) B-A-B
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5
The major factor determining when to change phases is:

A) Length of phases
B) Stability in the data
C) Carryover effects
D) None of the above
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6
The main thing carryover effects do when they are present is:
a) Clarify causality exists
b) Decrease stability
c) Demonstrate reversibility
d) None of the above
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7
The A-B-A-B design tends to protect from the following threat or threats to internal validity:

A) History
B) Maturation
C) Testing
D) All of the above
E) None of the above
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8
In an experimental removal design, the practitioner has to have a B intervention that attains positive improvement (in comparison with the baseline data) before removing that B and returning to an A condition (baseline).
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9
A major reason for using the B-A-B design is that one can begin to work with the problem immediately and still have a logical basis for determining both change and possible causality.
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10
A practitioner removes a successful intervention because he/she wishes to test a research hypothesis about causality, which requires that an experimental removal take place.
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11
I applied my intervention in the third phase to Angelina's walking instead of her sitting still. This design is most precisely called:

A) Removal
B) Withdrawal
C) Reversal
D) Experimental
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12
Carryover effects are always the same as irreversibility.
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