Effect of Missingness Mechanism on Household Survey Estimates in Nigeria
Keywords:
missing data, MCAR, MAR, MNAR, descriptive statistics
Abstract
In this study, we employed three missingness mechanisms - MCAR, MAR and MNAR to investigate the effects of proportion of Missing data on descriptive and analytic statistics: Mean (), Variance (), correlation coefficient (), coefficient of variation (cv), skewness (sk) and Kurtosis (K) which are likely situation a researcher may encounter in the field when dealing with household surveys. This study reveals that sometimes, missing data introduce systematic distortion in survey estimates and bias flows from missing data when the causes of the missing data are linked to the survey statistic measured.
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Published
2016-03-15
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Copyright (c) 2016 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.