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Data analysis and interpretation

ZT Zelalem Tilahun
TF Teferi Gedif Fenta
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Data was coded and entered into Epi Info version 3.5.3 by three trained data entry clerks. Then, the data was transferred to SPSS version 20.0 and analyzed. Socio-demographic variables including sex, age, marital status, educational status, occupation and place of residence, and awareness about AMT were considered as independent variables and frequency of self reported AMT coverage as outcome variable. In addition to simple descriptive statistics, chi square test, correlation and logistic regression analysis were conducted to show possible associations. P-value< 0.05 was considered as statistically significant.

Copyright and License information: The Author(s). ©2018
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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