Answer:
Selection effect
Explanation:
The participants, who arrived early may be systematically different from the later arrived participants, so the differences between the group performances may result due to this instead of the independent variable.
Selection effect, also referred to as the selection bias. This is the bias created by the selection of data for analysis, individuals, or groups in a way that affects proper randomization, hence the sample obtained is not typical of the population which is intended to be analyzed.