Small N Design Flashcards

1
Q

Examples of Narrative Case Studies

A

HM - Anterograde amnesia

Phineas Gage (pole through his frontal lobe)

Freud’s studies

The man who mistook his wife for a hat

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2
Q

Narrative case study

A

Intense, richly detailed study of a single person

Initial basis for developing new theory

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3
Q

Why do narrative case studies?

A

Can provide unique and valuable information

Source of ideas and hypotheses

Source for developing new therapy techniques

Allow study of rare phenomena

Side effects of treatment

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4
Q

Limitations of narrative case studies

A

Alternative explanations often available

Relies heavily on anecdotes

Limited generalizability

Non-representative cases often presented

Many threats to validity

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5
Q

Single case experimental design

A

Inferences made about the effect of an intervention by comparing different conditions presented to the same subject overtime

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6
Q

Single case experimental design essential components

A

Baseline assessment (document behaviour prior to the intervention)

Continuous assessment (Observations made prior to and during the intervention)

Stability of performance (baseline behaviours must be stable in order to make proper evaluations)

Multiple phases (baseline and intervention has to be observed across many periods of time to show possible patterns)

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7
Q

A-B single-case design

A

Quasi experimental design

Cannot exclude for low internal validity (maturation, history, regression to the mean)

Low external validity

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8
Q

ABA Example Cocaine

A

Escalating monetary reinforcement for cocaine free urine tests, then stopped at $2000

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9
Q

Problems with ABA(B)

A

Not all treatment-related behaviours may be reversible

Ethical problems associated with treatment withdrawal

Switching the treatment “on and off” may have undesirable consequences (e.g., lack of trust)

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10
Q

Multiple Baseline Design

A

Treating many behaviours/problems in one setting or one behaviour across many settings

Avoids the ethical dilemma of removing treatment

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11
Q

Changing-criterion design

A

Apply treatment over a series of trials

Each trial has a different threshold for defining a treatment response

E.g., reducing smoking

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12
Q

Challenges for single-case designs

A

Difficult to establish a stable baseline

Hard to know when baseline has stabilized (due to little data)

Interpretation of treatment efficacy can be ambiguous without stats

Behaviour may be reactive to measurement and thus impossible to obtain a valid measurement

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13
Q

Data analysis in single case design

A

Generally without stats

Usually visual inspection

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14
Q

Criterion for visual inspection

A
  1. MEAN
    - Reflects a shift in average performance from one phase to the next
  2. LEVEL
    - Difference between last day of previous condition and first day of new condition
    - Behaviour assumes new rate that is clearly associated with new phase
  3. SLOPE
    - Direction or magnitude change during each phase
  4. LATENCY OF CHANGE
    - How quickly does the difference between the two conditions become apparent
    - Generally shorter latency
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15
Q

Stability

A

Whole purpose of single case designs are to show control over the IV

Variability should be followed by stability

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16
Q

Problems and considerations

A
  • Unclear decision making rules
  • Need for big effects
  • Attrition
  • Fatigue
  • Data may be hard to interpret