Survey and preventive management of missing data due to unanswered
International Journal of Development Research
Survey and preventive management of missing data due to unanswered
Received 14th May, 2018; Received in revised form 21st June, 2018; Accepted 07th July, 2018; Published online 30th August, 2018
Copyright © 2018, Vincent J. M. Kiki, et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
An important challenge in statistical modeling involves determining an appropriate structural form for a model to be used in sampling. Various sampling methods have been developed by many researchers, namely the Time Location Sampling (TLS) method by Quaglia and Vivier, the Respondent Driven Sampling (RDS) method by Heckathorn, and the filter-survey method (MEF) by Kalton, etc. In this paper, we propose the Sampling By Use of Complicity (SBUC) model based on the principle of use of interviewers assisted by accomplice units. Thus, the SBUC model is developed for recruiting sample units using accomplice units. The SBUC model is applied to the hidden population of 2013 contraband fuel sellers in Benin, who smuggle the fuel from the federal republic of Nigeria. Thus, we predict the average rates of contraband fuel sellers who are aware of the dangerous nature of this activity and those willing to give up the trade.
