Overview of single subject designs
Suppose a researchers wanted to examine whether body odor affects the
extent to which they are perceived as attractive, but because of
limited resources can only examine one participant. In these instances,
the researcher must select one of three options. First, an ABAB design
could be applied (see Interrupted time series for statistical techniques that could examine the data in this context):
- That is, the researcher could repeat the treatment and control conditions on many occasions.
- To illustrate, on every second day they could ask participants to apply dencorub.
- On every other day, they could ask participants to refrain from dencorub.
- Hence, any effects of dencorub cannot be ascribed to time.
Unfortunately, to undertake this approach, researchers must withdraw
the treatment during every second session, which is sometimes
unethical. Hence, a multiple baseline design could be applied instead.
That is:
- The researcher could apply two treatments, which are hypothesised to influence separate dependent measures
- To illustrate, on the first day, no treatment is applied
- On the second day, dencorub, which is hypothesised to enhance attraction, is applied
- On the third day, both dencorub and vegemite, which is hypothesised to enhance mood, is applied
- If the hypotheses are supported, attraction should be elevated on the
second and third day. Mood should be elevated on the third day only.
- This rationale can be extended to more than two treatments
Unfortunately, this approach can be applied only when the researcher
wants to explore several treatments that influence distinct outcomes.
If this condition is not fulfilled, an incremental approach can be
adopted instead. For example:
- On the first day, no treatment is applied
- On the second day, 5 mg of dencorub is applied
- On the third day, 10 mg of dencorub is applied
- On the fourth day, 15 mg of dencorub is applied
- If the hypothesis is true, attraction should increase gradually over time.
These single-subject designs can be applied when the project comprises
more than one participant. For example, this design is applicable when
the project comprises five participants, but each individual
effectively represents a separate study.