Which research scenario is likely to produce the largest amount of missing data?

Surveying college students about their parents' incomes is likely to produce the largest amount of missing data because discussing financial information can often be sensitive and personal. Many students might feel uncomfortable disclosing their parents' incomes, either due to privacy concerns or stigma associated with certain income levels. This discomfort can lead to a higher likelihood of participants opting not to respond to this particular question, resulting in significant gaps in the data collected.

On the other hand, asking about exercise habits, childhood memories, or course satisfaction generally involves less sensitive information. Participants may be more willing to share personal experiences or opinions on these topics without the same level of hesitation or discomfort. Therefore, the nature of the questions plays a critical role in determining the degree of missing data in a research scenario.