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

Contents

03 Africa, its people and influences

8 Challenges of Sampling

16 Experiences and success stories

Picture

AFRICA, ITS PEOPLE AND INFLUENCES

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)

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 © 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 © 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

EXPERIENCES AND SUCCESS STORIES

8 © 2015 Ipsos.

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 © 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