Presentation by Virginia Nkwanzi - Isingoma of Ipsos at the 2016 AAPOR session on Monitoring data quality during fieldwork in international CAPI surveys.

1. Session: Maintaining Data Quality During Fieldwork in International CAPI
Surveys
Challenges of Random Probability Sampling in Africa
Virginia Nkwanzi - Isingoma
Director
Ipsos Sub-Sahara Africa
Saturday, 14 May 2016

2. Contents
03 Africa, its people and influences
8 Challenges of Sampling
16 Experiences and success stories
Picture

3. AFRICA, ITS PEOPLE
AND INFLUENCES

4. 4 © 2015 Ipsos.
54 Diverse countries influenced by:
Christianity
Islam
Traditional beliefs
Capitalism
Socialism
Britain
France
Germany
Belgium
Portugal
Netherlands
Travel
Internet
Tribes
Traditional
beliefs
Industrialization
Access to Western
culture
Invasion by the East
(China) and West
(America and Europe)

5. How do we go about Random probability sampling in Africa
Establish the basis for sampling
• National Statistics data – difference reference sources
• Use of Maps
Choice of random method to use – Random Walk or listing
Creation of sampling frame
• Listing of household
• Listing of businesses
Translate all tools in the as many languages as required
Recruit enumerators based on language and culture
Pretest - tools in all languages
Water tight quality control systems
JUST OUTLINED THEM NEED
FORMATING

6. 6 © 2015 Ipsos.
Key considerations for random sampling in Africa
Most countries in Africa
have come out or are in
in war and conflict
situations.
Displaced and moving
population
No go zones lead to
replacements – affects
national coverage
Limited demographics
data sources, old census
data
Poor maps
Lack of incidence data,
market data, etc.
Over 60% of countries in
Africa have poor road
networks especially in
rural areas
Heavy rains cause
flooding and make roads
impassable
Reaching remote places
is near to impossible
High cost of fieldwork
Interruptions during
interviewing
Respondents will want
to seek opinion of
others
WAR AND CONFLICT
SITUATIONS
DISEASE AND EPIDEMICS NATURAL CALAMITIES CLOSE KNIT SOCIETY

7. 7 © 2015 Ipsos.
Key considerations for random sampling in Africa
Thousands of local
languages + English,
French, Portuguese
More than 3,000
unique ethnic
groupings
Adult literacy average
33.3%
Limited demographics
data sources, old census
data
Poor maps
Lack of incidence data,
market data, etc.
Over 60% of population
living in rural areas
impacts on resources,
project timings and costs
Travel time – long flights
and local traffic jams
Visa processing
difficulties
No identifiers for
households
Facilities need careful
vetting to ensure
compliance with global
standards
Internet and
communications can be
problematic
LANGUAGE / CULTURAL
BARRIERS
DATA VACUUM LOGISTICS
POORLY DEFINED SETTLEMENTS
AND
INFRASTRUCTURE

8. EXPERIENCES AND
SUCCESS STORIES
8 © 2015 Ipsos.

9. 9 © 2015 Ipsos.
Overcoming the challenges…………..
Strong relationships
with statistics houses
Establish contacts and
understand protocols
Formalize relationships –
agreements
Involve them in the surveys
Robust operations
structure
Regional teams that
understand culture and
language
Central project control and
monitoring
Independent quality control
systems
Use of technology
Electronic data collection
using mobile phones
GPS coordinates for all
Clusters and EAs

10. 10 © 2015 Ipsos.
Success stories
Management of Large
National Surveys
Over 20,000 interviews per day across
Africa
Over 400 enumerators in each of our
offices in Africa
Over 100 projects per month across
Africa
Fast Adoption of
technology
90% of surveys managed on CAPI
Central monitoring of data through
the situation room
Adoption of CAPI with our research
partners in Africa
Strong network of
partners
Established survey teams in hard
to reach countries
Over 30 partnerships with
research Suppliers
Training and knowledge building
for research suppliers