Volume 38 - Article 36 | Pages 1017–1058

Collecting data from migrants in Ghana: Lessons learned using respondent-driven sampling

By Samantha R. Lattof

Print this page  Facebook  Twitter

 

 
Date received:18 Apr 2017
Date published:16 Mar 2018
Word count:10158
Keywords:data collection, data quality, female migration, Ghana, internal migration, migration, sub-Saharan Africa
DOI:10.4054/DemRes.2018.38.36
 

Abstract

Background: Policymakers and program implementers require high-quality data on migrants and migration in low- and middle-income countries (LMIC); however, a shortage of high-quality data exists in these settings. Sampling migrant populations requires better techniques. Respondent-driven sampling (RDS) may be one such solution.

Objective: Using Ghana as a case study, the objectives of this paper are to: 1) assess RDS recruitment productivity, network size, and ties of internal migrants; 2) test for homophily; and 3) detail the successes of and challenges to implementing RDS in Ghana and how these lessons can be applied to migrant populations in other LMIC settings.

Methods: This study used RDS to sample 625 rural–urban female migrants working as market porters (kayayei) in Accra, Ghana.

Results: This study generated the most comprehensive data set on kayayei to date. Network size increases as participants become more educated and migrate more often to Accra. Ethnic group membership is an important determinant of recruitment, with certain groups preferring to recruit from within. Employing members of the kayayei population to collect data built crucial trust.

Conclusions: Whilst RDS is not a one-size-fits-all solution for sampling hard-to-reach migrants in LMIC, it can be a powerful tool to uncover and to recruit hard-to-reach migrant populations. In countries with multiple ethnolinguistic groups, recruiting a migrant population with greater ethnolinguistic overlap may facilitate quicker equilibrium.

Contribution: This study expands the evidence base on use of RDS among migrant populations in LMIC and provides lessons learned to assist other researchers implementing RDS in LMIC settings.

Author's Affiliation

Samantha R. Lattof - London School of Economics and Political Science, United Kingdom [Email]

Most recent similar articles in Demographic Research

» Men’s and women’s migration in coastal Ghana: An event history analysis
Volume 22 - Article 25    | Keywords: Ghana, migration, sub-Saharan Africa

» Shocks and migration in Malawi
Volume 38 - Article 14    | Keywords: migration, sub-Saharan Africa

» Human capital on the move: Education as a determinant of internal migration in selected INDEPTH surveillance populations in Africa
Volume 34 - Article 30    | Keywords: internal migration, sub-Saharan Africa

» Forgotten marriages? Measuring the reliability of marriage histories
Volume 34 - Article 19    | Keywords: data quality, sub-Saharan Africa

» Generations and Gender Programme Wave 1 data collection: An overview and assessment of sampling and fieldwork methods, weighting procedures, and cross-sectional representativeness
Volume 34 - Article 18    | Keywords: data collection, data quality

Articles

 

Citations

 

 

Similar Articles

 

 

Jump to Article

Volume Page
Volume Article ID