Final answer:
A repeated-measures design is suitable when observing the same individuals under various conditions, such as studying the effect of alcohol on the same sample's reaction time both with and without alcohol consumption. This allows for direct comparison within the same subjects, providing clearer insight into the effects of the independent variable.
Step-by-step explanation:
A repeated-measures design would be appropriate for the situation where a researcher would like to examine the effect of alcohol on reaction time in the same sample, once without giving alcohol and once at a different time when giving alcohol. In this design, the same group of participants is measured on the dependent variable (reaction time) under two different conditions (with and without alcohol). By comparing the participants' reaction time in these two conditions, the researcher can determine the effect of alcohol on reaction time within the same sample.