Nigeria - General Household Survey-Panel Wave 3 (Post Planting) 2015-2016, Third round
Reference ID | NGA-NBS-NGHPS-2016-v1.0 |
Year | 2015 |
Country | Nigeria |
Producer(s) | National Bureau of Statistics (NBS) - Federal Government of Nigeria (FGN) |
Sponsor(s) | Federal Government of Nigeria - FGN - Funding World Bank - WB - Funding Bill and Melinda Gates Foundation - BMGF - Funding |
Metadata | Documentation in PDF Download DDI Download RDF |
Created on | Dec 11, 2016 |
Last modified | Dec 11, 2016 |
Page views | 141556 |
Downloads | 123980 |
Data Processing
Data Editing
The data cleaning process was done in a number of stages. The first step was to ensure proper quality control during the fieldwork. This was achieved in part by using the concurrent data entry system which was, as explained above, designed to highlight many of the errors that occurred during the fieldwork. Errors that are caught at the fieldwork stage are corrected based on re-visits to the household on the instruction of the supervisor. The data that had gone through this first stage of cleaning was then sent from the state to the head office of NBS where a second stage of data cleaning was undertaken.
During the second stage the data were examined for out of range values and outliers. The data were also examined for missing information for required variables, sections, questionnaires and EAs. Any problems found were then reported back to the state where the correction was then made. This was an ongoing process until all data were delivered to the head office.
After all the data were received by the head office, there was an overall review of the data to identify outliers and other errors on the complete set of data. Where problems were identified, this was reported to the state. There the questionnaires were checked and where necessary the relevant households were revisited and a report sent back to the head office with the corrections.
The final stage of the cleaning process was to ensure that the household- and individual-level datasets were correctly merged across all sections of the household questionnaire. Special care was taken to see that the households included in the data matched with the selected sample and where there were differences these were properly assessed and documented. The agriculture data were also checked to ensure that the plots identified in the main sections merged with the plot information identified in the other sections. This was also done for crop-by-plot information as well.
Other Processing
The CSPro software was used to design the specialised data entry program that was used for the data entry of the questionnaires.
The cleaning process at the head office was impeded by the fact that the questionnaires were not immediately available for inspection when problems were identified in the data . The
questionnaires were retained by the state in case there was the need for household revisits. So whenever problems were identified at the head office, the state office had to be contacted in order
to determine if the suspect data were the same as the information on the questionnaire, and to ensure that changes were captured in both places. This was a very cumbersome and time
consuming process since communication was difficult and in many instances the response was not timely.
A second challenge in data management and cleaning was the difficulty faced by state offices in sending the data from the state to the head office. There were difficulties in accessing internet
facilities in many of the EAs and surrounding areas where the field teams were active. The consequence of this was that the data were not sent to the head office until the teams returned to state
capitals where, due to the distance, it was difficult to return to the EAs for household revisits when requested by the head office.