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This article outlines the importance of quality assurance in population and housing censuses, using Ghana's 2010 census as a case study. It discusses the processes involved, challenges faced, and strategies for ensuring high-quality data. The text highlights the benefits of quality assurance, such as reducing errors, timely results release, and stakeholder acceptance.
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Quality assurance in Population and Housing Census-The case of Ghana UN Reg. Workshop on the 2020 World Programme on P&H Censuses- Lagos, Nigeria 8th -11 May, 2017
Introduction • Ghana conducted its latest census in 2010 • Final results of the census was released in 2012 ( provisional results in Feb. 2011) • Other reports produced from the census data included: • National Analytical Report, Regional and District Analytical Reports, Post Enumeration Survey (PES) Report, 13 monographs and a Census Atlas
Why Quality Assurance in P&H Census? • So that census data is of minimal error/high quality data • Can help reduce cost (mapping, training and enumeration) • Results can be released in good time • Results would be accepted by all stakeholders
Quality Assurance processes • Broad consultations with stakeholders in the selection of topics-relevant topics selected • Involvement of stakeholders in the design of census instruments (questionnaires, manuals, etc.) • Involvement of stakeholders in census mapping • Early start of census mapping • Effective supervision in the delineation of EA maps
Quality Assurance processes • Effective supervision in the production and printing of EA maps • Test census questions and carry out pilot census • Recruit high caliber field staff • Carry out sufficient and effective training of field staff • Involve stakeholders in enumeration • Put in place EA tracking system
Quality Assurance processes • Effective supervision of data collection (1:5)-supervisors required to edit all questionnaires and conduct spot checks • Issue certificate of enumeration to floating population • Stickers on walls to indicate enumeration has been done • Involvement of external supervisors/monitors • Set-up call centres where queries from the public are addressed
Quality Assurance processes • In addition to the normal control measures, quality control teams were set up after the end of enumeration to check on listing and enumeration in selected areas in the case of the 2010 PHC • Timely choice and testing of technology for data processing OR data collection equipment • Control forms for movement of field logistics, especially questionnaires • Evaluation of data quality using PES and demographic methods
Challenges in undertaking QA • Funding, leading to : • delays in the completion of census mapping • inadequate no. of supervisors/monitors • delays in the conduct of PES • delays in the choice of technology for data processing OR data collection equipment