Sampling errors are inevitable in research, but researchers can minimize these errors by using reliable sampling techniques and avoiding biases. When a researcher uses a small sample size, it can result in a sampling error, which is simply a statistical error that occurs when a portion of the population is used for the study instead of the entire population. Some synonyms for sampling error include selection bias, measurement error, and non-response bias. Other related terms include margin of error, standard error, and statistical significance. Researchers should use these terms carefully and accurately to ensure that their findings are valid, reliable, and trustworthy.