What is a common disadvantage of nonresponse bias?

Nonresponse bias is a significant concern in survey research and data collection because it occurs when individuals selected for the sample do not respond, leading to potential gaps in the data. This can result in skewed results, as the opinions or characteristics of those who did not respond may differ systematically from those who did. For instance, if a particular demographic is less likely to respond to a survey, the findings may over-represent the views of the respondents and fail to accurately reflect the entire population.

In contrast to enhancing representativeness or improving sample accuracy, which are desirable attributes in research, nonresponse bias generally undermines these qualities. Simplifying data analysis is also not a benefit, as dealing with nonresponse often complicates the process, requiring researchers to employ various methods to address and adjust for the bias. Therefore, the potential for skewed results stemming from nonresponse bias is a valid and common disadvantage in the field of survey-based research.