Chapter 12 Flashcards

1
Q

Small N Designs

A

also known as a single-subject design hence the data for each subject is considered independently.

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2
Q

Larger N Designs

A

might lack individual subject validity with the data of individual subjects getting lost when the data is averaged over subjects.
Therefore the data for S is concealed.

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3
Q

Studies with Larger N can

A

obscure effectiveness

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4
Q

Operant Conditioning (B.F Skinner)

A

A type of learning where the frequency of the behavior is affected by its consequence.

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5
Q

If behavior is reinforced,

A

the behavior will increase in frequency

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6
Q

If the behavior is punished,

A

The behavior will decrease in frequency.

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7
Q

Rate of Response

A

It is measured to determine whether reinforcement is effective.

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8
Q

Applied Behavior Analysis

A

Is when we apply operant conditioning principles to solve real-life problems.

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9
Q

B.F Skinner advocated for small N Designs hence

A

He believed that it was more beneficial to study one rate for 1000 hours rather than 1000 rats for 1 hour.

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10
Q

Is there a control group in Small N Designs?

A

No

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11
Q

Due to the lack of a control group,

A

behavior must be shown to change as a result of the treatment used.

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12
Q

Three Required Elements for Small N Designs:

A
  1. Operationally define the target behavior
  2. Establish a baseline of responding before the treatment is used.
  3. Introduce the treatment and monitor the behavior.
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13
Q

Simplest Single-Subject Design

A

-Is an AB Design with A being the baseline and B being the treatment.
-It is a weak design because change might be due to a confounding variable such as history, maturation, etc.

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14
Q

Withdrawal (Reversal) Design

A

-ABA Design with A being the baseline, B being the treatment, and A being the withdrawal of treatment.
-Reduces the chances that confounding variables are responsible for any observed behavioral change.
-If the behavior change correlates with the introduction AND the withdrawal of treatment, then it is likely that the treatment is producing the change.

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15
Q

ABAB Design

A
  • A being baseline, B being the treatment, A being withdrawal of treatment, and B being the treatment again.
    -Ends with the treatment rather than the withdrawal of treatment.
    -Also allows for multiple testing of the treatment.
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16
Q

Problems with the designs that contain the withdrawal of treatment:

A

-withdrawal can be unethical if we are removing an effective treatment.
-Withdrawal may not be feasible (Behavior will not return to baseline after the withdrawal).

17
Q

The solution to the problems is:

A

To use a multiple-baseline design

18
Q

Multiple-Baseline Design

A

-Baseline measures are established and the treatment is introduced at different times.
-Treatment isn’t withdrawn.

19
Q

In a Multiple-Baseline Design, the baseline can be established for:

A

-the same behavior in two or more subjects
-two or more different behaviors in the same subjects
-the same behavior in the same subjects but in two or more different settings.

20
Q

Common Characteristics of Multiple-Baseline Design

A
  1. we establish a baseline for each behavior
  2. the treatment for each behavior begins at different times
  3. we can usually identify this design by several graphs stacked on top of one another with a dotted line moving down from one graph to another.
21
Q

As treatment is introduced at different times,

A

the behavior responds only to that.

22
Q

Interpretation Problems

A

Sometimes change in a behavior that was treated in one setting can generalize to other settings. If that happens, we don’t know whether the treatment was effective or some other external factors were responsible for the unexpected change.

23
Q

A-A1-B-A1-B Design

A

-A: normal baseline
-A1: second baseline where the S receives a placebo
-B: A real drug is being tested

24
Q

Changing Criterion Design

A

-The criterion for getting a +Sr (positive reinforcer) begins at a modest level and progressively becomes more difficult as the study progresses.
-The baseline is established and the +Sr treatment is begun until some criterion is reached. Then the criterion becomes increasingly more difficult until the target behavior has been attained.
-Usually used for study programs, diets, and exercise programs.

25
Q

Criticisms against Single-Subject Designs:

A

1- Cannot adequately test for interaction effects.
2- The study might lack external validity.
3- The dependent variable is almost always “frequency” or “rate of response”.
4- The effectiveness of the treatment depends on the visual inspection of the graphed data.
5- Interaction problems may ensue if the baseline data is unstable or if certain trends occur in the baseline data before the introduction of the treatment.