Sampling Principles, Missingness Mechanisms, and Design Weighting
The schemes of Chap. 2 showed that sample survey data can have some missingness, both intentional missingness and inevitable missingness. Intentional missingness is mostly because of sampling, while inevitable missingness arises from non-responses, ineligibility, undercoverage, and measurement errors. Intentional missingness is, or should be, mostly random, but inevitable missingness is virtually systematic or selective.
- Laaksonen, S., Kemppainen, T., Kortteinen, M., Vaattovaara, M., Stjernberg, M., & Lönnqvist, H. (2015). Tackling city-regional dynamics in a survey using grid sampling. Survey Research Methods, 9(1), 45–55.Google Scholar
- Lee, S., Suzer-Gurtekin, T., Wagner, J., & Valliant, R. (2017). Total survey error and respondent driven sampling: Focus on nonresponse and measurement errors in the recruitment process and the network size reports and implications for inferences. Journal of Official Statistics, 33(2), 335–366. https://doi.org/10.1515/JOS-2017-0017.CrossRefGoogle Scholar