Single-Subject
Experiments
Advantages
- Group means
could conceal patterns that appear in individuals' data
- Big
effects - only clinically significant effects are likely to be found
- Ethical
and practical advantages (eg; can not withhold treatment; too few
subjects)
- Flexibility
Disadvantages
- Can not
examine any between-subject effects
- Can not
detect small effects
- May be
less generalizable
Control Strategies in Single-subject Research
- A-B
Design (Stable Baseline)
- A-B-A
Design
- Baseline,
treatment, withdrawl
- Problems:
- Treatment
may not be reversible
- May
not be ethical to leave the subject in the untreated condition
- A-B-A-B
Design (Repeated Treatments Design)
- A-B-A-B-BC-B-BC
(Interaction Design)
- For examining
the effects of 2 variables
- Obeys
the cardinal rule of single-subject designs: Change only one thing at a time!
- Multiple
Baselines Design
- Introduce
the treatment at different times for different behaviors
- Really
has multiple DVs and related IV's; example:
- IV1
= reward behavior A
- DV1
= frequency of behavior A
- IV2
= reward behavior B
- DV2
= frequency of behavior B
- Changing
Criterion - changing the criterion for measuring a change in behavior
as learning takes place (because some learning is irreversible)
Contrasting the means of Experimental Control in
single-subject vs. group designs
- Group
Designs - Control = eliminating confounds
- Single-Subject
designs - Control = reducing error variance
(Although this contrast between
single-subject and group designs is not a hard and fast rule, it is still a
useful generalization.)