4.5 Article

Effectiveness of WhatsApp for Measuring Migration in Follow-Up Phone Surveys. Lessons from a Mode Experiment in Two Low-Income Countries during COVID Contact Restrictions

Journal

SOCIAL SCIENCE COMPUTER REVIEW
Volume -, Issue -, Pages -

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/08944393221111340

Keywords

WhatsApp; interactive voice response; migration; COVID; phone; survey; mode

Funding

  1. Ministerie van Buitenlandse Zaken

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Phone surveys, particularly through WhatsApp, are increasingly important tools for data collection in developing countries. However, there is limited evidence on the effectiveness of WhatsApp for remote data collection. In a field experiment conducted in Senegal and Guinea, WhatsApp showed lower response rates compared to interactive voice response (IVR), but had higher survey completion rates and lower costs, making it a promising option for data collection in low-income contexts.
Phone surveys have increasingly become important data collection tools in developing countries, particularly in the context of sudden contact restrictions due to the COVID-19 pandemic. So far, there is limited evidence regarding the potential of the messenger service WhatsApp for remote data collection despite its large global coverage and expanding membership. WhatsApp may offer advantages in terms of reducing panel attrition and cutting survey costs. WhatsApp may offer additional benefits to migration scholars interested in cross-border migration behavior which is notoriously difficult to measure using conventional face-to-face surveys. In this field experiment, we compared the response rates between WhatsApp and interactive voice response (IVR) modes using a sample of 8446 contacts in Senegal and Guinea. At 12%, WhatsApp survey response rates were nearly eight percentage points lower than IVR survey response rates. However, WhatsApp offers higher survey completion rates, substantially lower costs and does not introduce more sample selection bias compared to IVR. We discuss the potential of WhatsApp surveys in low-income contexts and provide practical recommendations for field implementation.

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