Small N Design Flashcards
Examples of Narrative Case Studies
HM - Anterograde amnesia
Phineas Gage (pole through his frontal lobe)
Freud’s studies
The man who mistook his wife for a hat
Narrative case study
Intense, richly detailed study of a single person
Initial basis for developing new theory
Why do narrative case studies?
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
Limitations of narrative case studies
Alternative explanations often available
Relies heavily on anecdotes
Limited generalizability
Non-representative cases often presented
Many threats to validity
Single case experimental design
Inferences made about the effect of an intervention by comparing different conditions presented to the same subject overtime
Single case experimental design essential components
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)
A-B single-case design
Quasi experimental design
Cannot exclude for low internal validity (maturation, history, regression to the mean)
Low external validity
ABA Example Cocaine
Escalating monetary reinforcement for cocaine free urine tests, then stopped at $2000
Problems with ABA(B)
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)
Multiple Baseline Design
Treating many behaviours/problems in one setting or one behaviour across many settings
Avoids the ethical dilemma of removing treatment
Changing-criterion design
Apply treatment over a series of trials
Each trial has a different threshold for defining a treatment response
E.g., reducing smoking
Challenges for single-case designs
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
Data analysis in single case design
Generally without stats
Usually visual inspection
Criterion for visual inspection
- MEAN
- Reflects a shift in average performance from one phase to the next - 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 - SLOPE
- Direction or magnitude change during each phase - LATENCY OF CHANGE
- How quickly does the difference between the two conditions become apparent
- Generally shorter latency
Stability
Whole purpose of single case designs are to show control over the IV
Variability should be followed by stability