6: small n designs Flashcards
small n research (idiographic/ morphogenic)
Each subject = separate experiment
Use of within-subject designs
Presented data: individual subjects
Comparisons between subjects
Reliability is assessed by replication (repetition)
where is the small n approach useful?
Assumption of minimal biological or psychological variability
*Much of neuroscience
*Psychophysics
*Cognitive and behavioural neuroscience
*Human clinical neuropsychology/neurology
*Clinical psychology
*Animal learning and cognition (tradition?)
what is the small n approach useful
- Constraints: availability, convenience
- No need for generalization
- Assumption of low biological variability
- Interest in a very small layer of the population
- Need to understand the process in time
- Detailed comparison of subjects
key principles in small n research
Consistent level: magnitude of treatment effects.
Consistent trend: unidirectional changes.
Stability: consistent level or consistent trend.
Search of temporal patterns: time series (analyses).
Search of spatio-temporal patterns: sequential analysis of
behaviour. Serial configuration of events and actions in time.
what is the principle of experimental research
replication
why does small n or single subject research work
Large number of observations per subjects: fluctuations average out.
Factors that can contribute to variability are controlled in a strict manner.
Focus on “powerful” variables with a clear effect: Effect sizes.
problems with small n research
Similar problems as for within-subject designs
*Irreversible changes in the behaviours of the subjects induced by the experimental procedures.
Weak effects (from the IV) on the DV.
Unstable DV’s despite strong experimental control:
*Uncontrolled variables
*Extraneous variables
types of designs
baseline designs
dynamic designs
discrete trial designs
what are baseline designs
Typically what researches refer to when mentioning “single-subject designs”.
types of dynamic designs
Good for moment-by-moment changes in behaviour
what are discrete trial designs
Good for a focus on performance of individual subjects (e.g., psychophysics).
issue to keep in mind with baseline designs
reliability»_space;> would replication produce same (or very similar) results
The behaviour is analysed based on both within and between experimental treatments data.
* No averaging of the data!
what is the baseline phase
Behavioural baseline needs to be established until a
stability criterion is reached.
what is the experimental or intervention phase
expose the subject to each
treatment, until criterion is reached. Then repeat.
ABA(B) designs: baseline - treatment - baseline (- treatment).
This is an intra-subject replication where subjects are their own control(s) (as in group within subject designs)»_space;> internal validity.
reversal strategy in baseline designs
ABA(B) = reversal strategy. You expect to “recover” the original baseline (A) after the treatment (B).
Data from the baseline and treatment conditions are compared for statistically significant differences.
If you run more than one subject (small-n design), you can provide inter-subject replication»_space;> external validity. Typically 3 to 6 subjects.