RURAL BANGLADESH - PreventionWeb
RURAL BANGLADESH - PreventionWeb
RURAL BANGLADESH - PreventionWeb
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Socio-Economic Profiles of WFP Operational Areas and Beneficiaries<br />
2.5 DATA ENTRY & PRELIMINARY ANALYSIS<br />
The quantitative data entry process commenced as the questionnaires were collected from<br />
the field, after supervisors from each team had begun the process of cleaning the<br />
questionnaires for mistakes. MITRA managed the data entry process, applying a doubleentry<br />
system in order to minimize data entry errors. After entering all of the questionnaires<br />
into the Excel format, MITRA cleaned the data and then compiled the files into SPSS in<br />
order to facilitate analysis. TANGO ensured that all of the files were clean and logical prior<br />
to commencing the analysis process.<br />
2.5.1 Cleaning of the Food, Asset, Savings and Expenditure Data<br />
Food consumption, expenditure, and asset data collected in household surveys are invariably<br />
subject to a host of potential errors, including household reporting errors, enumerator<br />
recording errors, and data entry errors. The raw data from this survey were subject to a<br />
thorough cleaning so as to avoid any influence of major errors on the estimates of dietary<br />
diversity, meal frequencies, per-capita household income, and asset ownership. These<br />
variables are also used in the Principal Component Analysis to cluster socioeconomic<br />
categories. Data cleaning required three stages.<br />
First, the variables were cleaned manually by examination for outliers at both ends of the<br />
distribution separately for each WFP Priority Zones. Detected outlying unit values of<br />
particular data for that specific observation were set to missing. In the second stage, all<br />
values greater than three standard deviations were set to missing for the specific observation.<br />
Applying these two cleaning methods, approximately 1.2 percent of observations were<br />
identified as outliers. In the final stage all missing values were replaced by the median<br />
values.<br />
In the end the cleaning process whittled away approximately 100 completed survey<br />
questionnaires, resulting in a final sample total of 2,661 households comprising 12,682<br />
individuals.<br />
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