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16 Cards in this Set
- Front
- Back
GROUP METHODOLOGY
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average performance of 1+ groups of participants
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SINGLE-CASE REASEARCH DESIGNS
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Research designed to reveal various nuances and subtleties of behavior
Can teach us what is average by revealing what is not average |
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CASE STUDY
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Intensive description & analysis of a single individual
Frequently describes the application and results of a particular treatment May describe symptoms, methods used to understand/treat symptoms, evidence for treatment’s effectiveness lacks a high degree of control |
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ADVANTAGES OF CASE STUDIES
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Provide rich source of info. about individuals and insights into possible causes of behavior
Provides an opportunity to try new therapeutic techniques |
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ADVANTAGES OF CASE STUDIES
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Useful for studying rare behavior:
Difficult to find a group of people that exhibit the same rare behavior Provide evidence for theories: Cases that violate a theory indicate that the theory needs to be revised |
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DISADVANTAGES OF CASE STUDIES
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Difficult to draw cause-effect conclusions:
~simultaneous treatments may be going on ~there’s not a high degree of control |
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DISADVANTAGES OF CASE STUDIES
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Researcher is both observer and participant, thus a possible observer bias:
Therapist is motivated to think treatment was effective Effectiveness is based on subjective impressions of the observer |
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DISADVANTAGES OF CASE STUDIES
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Individuals self-report info. about themselves:
May exaggerate treatment effectiveness |
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DISADVANTAGES OF CASE STUDIES
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External validity is potentially limited:
If the variability in the population is small, then generalizability is increased If the variability in the population is large, then generalizability is decreased |
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ISSUES WITH CASE STUDIES
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New or unusual findings may lead scientists to revise theories or may lead to new avenues of research
Dramatic findings are often accepted uncritically by nonscientists Ex. TV ads for weight loss pills (e.g., testimonials) |
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SINGLE-CASE (N=1) EXPERIMENTAL DESIGNS
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Focus on the behavior of one individual:
Similar to a repeated measures design for one individual (vs. a group) |
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SINGLE CASE: STAGE 1
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Researchers record the individual’s behavior before any treatment
Enables researchers to describe behavior before treatment Can predict what the individual’s behavior will be like in the future without treatment |
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SINGLE CASE: STAGE 2
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Researchers record behavior with the same measures as used in baseline stage
By inspecting the difference between baseline and treatment, researchers can infer if the treatment was effective |
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ABAB REVERSAL DESIGN
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Used to demonstrate that behavior changes systematically when they alternate “no treatment” and “treatment”
A= no treatment (control/baseline) B= treatment (intervention) Because treatment is removed during the 2nd A stage, any improvement in behavior is likely to be reversed at this point |
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ABAB METHODOLOGICAL ISSUES
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If frequency of behavior does not revert back to baseline in the 2nd A stage, then you cannot be sure that the treatment caused the change in behavior
Behavior may not be expected to rebound to baseline levels (e.g., if skills have been learned) Variable other than treatment caused the change in behavior (confounding) |
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MULTIPLE BASELINE DESIGN
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Step 1: Measure baseline responses in multiple settings (e.g., home, work, school)
Step 2: Introduce treatment into one setting but not others. Continue measuring responses in all settings Step 3: Repeat Step 2 for the second setting, then the third, etc. |