Factors, Preventions and Correction Methods for Non-Response in Sample Surveys

Authors

Godwin Nwanzu Amahi, University of Ibadan, Nigeria

Keywords

Non-response; Unit non-response; Weighting adjustment; Imputation

Abstract

Missing survey data occur because of unit and item non-response. This is practically independent of the method of data collection. As a result of the bias that non-response sometimes introduces in survey estimates, identifying factors that promote it, and taking measures of prevention and correction methods are clearly necessary. The standard method to compensate for unit non-response is by weighting adjustment, while item non-responses are handled by some form of imputation. This paper reviews factors that give rise to nonresponse and the corresponding methods used for its prevention and control. It also discusses their properties.

Author Bio

The author is a staff from the Department of Statistics, University of Ibadan, Nigeria

Publication Title

Journal of Applied Statistics 2011

Issue

1

Volume

1

Recommended Citation

Amahi, Godwin Nwanzu (2010) "Factors, Preventions and Correction Methods for Non-Response in Sample Surveys," CBN Journal of Applied Statistics (JAS): Vol. 1: No. 1, Article 6.
Available at: https://dc.cbn.gov.ng/jas/vol1/iss1/6