Final answer:
Anonymous answers do not inherently raise concerns about a study's results, but a large margin of error, a small sample size, or assuming causation from correlation are legitimate reasons to question a study's findings.
Step-by-step explanation:
Among the options provided, anonymous answers would not inherently make you question the results of a study. Anonymous responses in a study are often used to protect participants' privacy and can result in more honest answers. However, a large margin of error, a small sample size, or assuming causation from correlation can all be reasons to doubt the validity of a study's results. A large margin of error indicates a lack of precision in the estimates provided. A small sample size may not be representative of the entire population, making it difficult to generalize results. Assuming causation from correlation is a common mistake in interpreting data; just because two variables are correlated does not mean one causes the other.