This episode explains the important distinction between response rate and nonresponse error in survey research. Drawing on principles from Dillman et al.(2014), it clarifies that a high response rate does not necessarily mean low nonresponse error, and vice versa. Through two practical examples, the episode illustrates how systematic differences between respondents and nonrespondents -- not the number of responses -- determine the presence of nonresponse error. The episode emphasizes that evaluating survey quality requires more than just looking at response rates; it requires understanding potential bias in who does and does not respond.

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