Nigeria - General Household Survey-Panel 2010-2011 (PostHarvest), First Round (Wave one)

Reference ID

NGA-NBS-GHS-PANEL-2010-2011-v1.0

Year

2011

Country

Nigeria

Producer(s)

National Bureau of Statistics (NBS) - Federal Government of Nigeria (FGN)

Sponsor(s)

Federal Government of Nigeria - FGN - Funding
Bill and Melinda Gates Foundation - BMGF - Funding
World Bank - WB - Funding

Metadata

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Created on

Mar 21, 2012

Last modified

Dec 02, 2013

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1057242

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Data Appraisal

Other forms of Data Appraisal

VARIABLE NAMING SCHEME
Generally, the variables are named to correspond with each of the questions. For example in the case of the cover dataset (SECTA) the variables names start with ‘SA’ which means section A of the household questionnaire. This is followed by ‘Q’ and a number e.g. ‘Q1’ which indicates the question number, so the first question in Section A is captured in the variable SAQ1. Section 1 to 10, was represented using S1 to S10 with the question (Q) and number post-fixed as in the example above. The approach is similar in the case of the agriculture datasets. Here the variables are labeled ‘S11A – S11L and S12 corresponding to the section number. These variables all end with the question and number just as is done in the household datasets.

There were some few data entry problems encountered by some of the data entry operators due to the introduction of this method of concurrent data entry
? Provision of field vehicles with charging facilities for the data entry equipment was an added advantage
? Challenges on how to send data via internet to NBS headquarters
? Problems in effective managing of data problems while the teams were in the field like; printing and correct reading of error messages
? Problems of EA and HH replacement:
o Suggested a re-listing exercise
o Improve method of replacement
? Problems with geographical codes
o Using different codes in the states and headquarters for LGAs, EAs and replicate identification codes (RIC)
o Suggested harmonization of codes