What does 'caveats' imply when interpreting results?

• A. There is no reservation
• B. The data are flawless
• C. There are reservations or limitations to the interpretation
• D. The hypothesis is proven

Answer: (C)

Caveats point to reservations or limitations in how far we can interpret the results. When a study notes caveats, it’s signaling that conclusions should be taken with caution because of factors like small sample size, potential measurement error, biases, or limits on generalizability. In other words, the findings are conditional and not definitive. That’s why the option describing reservations or limitations to interpretation is the best match. The other ideas—no reservations, flawless data, or the hypothesis being proven—misrepresent what caveats are meant to convey, since caveats explicitly acknowledge uncertainty and boundaries.