Changes in participant performance or preference caused by the sequence in which they encounter conditions, not by the conditions themselves. Controlled through counterbalancing.
Definition: Changes in participant performance or preference caused by the sequence in which they encounter conditions, not by the conditions themselves. Controlled through counterbalancing.
Order effects occur when the sequence of tasks or conditions influences results. If participants always test Design A before Design B, you cannot tell whether B scored higher because it is better or because participants were more practiced by the time they saw it.
Order effects are especially dangerous because they masquerade as real differences between conditions. Your data will show a statistically significant result, and the result is real—but it measures the effect of sequence, not design.
Counterbalancing is the standard solution: vary the order across participants so each condition appears equally often in each position. This does not eliminate order effects but allows you to measure and control for them in your analysis.
A technique for controlling order effects in within-subjects designs by varying the sequence of conditions across participants. Half test A→B; half test B→A.
A study structure where the same participants test all conditions. Every participant interacts with both Version A and Version B. Statistically powerful but requires counterbalancing to control order effects.
Systematic deviation from the true value in research findings. Cannot be eliminated, only managed through standardization and awareness. The goal is systematic bias (manageable) over unsystematic bias (chaos).
This term is referenced in the following articles: