Method evaluation asks whether procedures and measurements can answer the question fairly. Conclusion evaluation asks whether the claim follows from the evidence. A precise dataset can still come from an invalid design; a valid design can still have high uncertainty.
Look for sample bias, uncontrolled variables, measurement limitations, selective reporting and assumptions. When studies conflict, compare method quality, samples, contexts and uncertainty. Scientific conclusions should use calibrated language such as “supports”, “is consistent with” or “does not provide sufficient evidence”, rather than automatic “proves”.