A between-subjects design is an experimental design in which each participant experiences only one condition of the independent variable. If comparing design A against design B, one group of participants uses only A and a different group uses only B.
Advantages:
- No learning effects — participants encounter each design fresh
- No fatigue or carryover — previous conditions don't influence current ones
- Simpler procedure — each participant does a single session
Disadvantages:
- Individual differences between groups may obscure the effect of interest
- Requires more participants — typically 2–3 times as many as within-subjects for the same power
- Random assignment is essential to ensure comparable groups
Mitigation: random assignment distributes individual differences across groups in expectation. Stratified random assignment can further balance groups on known characteristics (gender, experience level, age).
Between-subjects is necessary when exposure to one condition would contaminate another — the most common example is A/B testing of live web products, where each user sees only one version. It is also used when learning or practice effects would dominate within-subjects results, as in studies of first-time experience.
Related terms: Within-Subjects Design, A/B Testing, Statistical Power
Discussed in:
- Chapter 18: Experimental Design and Statistics for Usability — Within-Subjects vs. Between-Subjects Designs
Also defined in: Textbook of Usability