A good sampling frame is crucial to good sampling. A mismatch between the sampling frame and the conceptually defined population can be a major source of error. Just as a mismatch between the theoretical and operational definitions of a variable creates invalid measurement, so a mismatch between the sampling frame and the population causes invalid sampling. Researchers try to minimize mismatches.