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Non-Response and Its Treatments

In: Advanced Sampling Theory with Applications

Author

Listed:
  • Sarjinder Singh

    (St. Cloud State University, Department of Statistics)

Abstract

Incompleteness or non-response in the form of absence, censoring, or grouping is a troubling issue of many data sets. Statisticians have recognized for some time that failure to account for the stochastic nature of incompleteness or non-response can spoil the nature of data. There are several factors which effect the non-response rate in any particular inquiry. Some of these factors are the type of information being collected, the official status of the surveying agency, the extent of publicity, the legal obligations of the respondents, the time of visit by the enumerator and length of the schedule, etc.. Hansen and Hurwitz (1946) were the first to deal with the problem of incomplete samples in mail surveys. It is a well known fact that mail surveys or telephone surveys are most commonly used by most of the bureaucratic or business organisations because of their low cost. Rubin (1976) has defined three key concepts: Missing at random (MAR), Observed at random (OAR), and parameter distinctness (PD).

Suggested Citation

  • Sarjinder Singh, 2003. "Non-Response and Its Treatments," Springer Books, in: Advanced Sampling Theory with Applications, chapter 12, pages 975-1064, Springer.
  • Handle: RePEc:spr:sprchp:978-94-007-0789-4_12
    DOI: 10.1007/978-94-007-0789-4_12
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