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7 - Conducting surveys in areas of armed conflict

Published online by Cambridge University Press:  05 September 2014

Zeina N. Mneimneh
Affiliation:
University of Michigan
William G. Axinn
Affiliation:
University of Michigan
Dirgha Ghimire
Affiliation:
University of Michigan
Kristen L. Cibelli
Affiliation:
University of Michigan
Mohammad Salih Alkaisy
Affiliation:
IBN Cena Teaching Hospital Mosul
Roger Tourangeau
Affiliation:
Westat Research Organisation, Maryland
Brad Edwards
Affiliation:
Westat Research Organisation, Maryland
Timothy P. Johnson
Affiliation:
University of Illinois, Chicago
Kirk M. Wolter
Affiliation:
University of Chicago
Nancy Bates
Affiliation:
US Census Bureau
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Summary

Introduction

The humanitarian tragedy of large-scale armed conflict continues to be part of human experience leaving a tremendous demographic, social, economic, and health impact on societies. Investigating the impact of such conflicts, assessing the community’s needs, and guiding and evaluating interventions require collecting reliable information on the affected population. Survey research provides tools for collecting such information, but the obstacles to successful survey data collection in these circumstances are substantial. We argue that conducting surveys in armed conflict settings is difficult, but can be done and done well by following a few design and implementation principles. We begin this chapter by summarizing these principles and discuss them further in the remaining sections of the chapter. These principles are derived from the authors’ experiences conducting surveys in such settings and reports from the literature and are based on observational rather than experimental evidence, but reflect the forefront of research on these topics. The first principle is to maintain an adaptive (flexible) approach at all phases of the survey allowing researchers to adjust the study protocols to such volatile circumstances. Second, mixed method approaches can be used to maximize that flexibility and minimize the weaknesses in a survey data collection design by capitalizing on the strengths of supplementary methods. Third, recruitment and training of interviewers require unconventional approaches such as: maintaining political neutrality during recruitment and training, and adding training components on psychological preparation, the art of politically neutral interactions, and handling conversations with respondents about the conflict. The fourth principle is to tailor data collection methods to deal with specific armed conflict challenges. Examples include: tailoring approaches to minimize refusals and noncontact, special efforts to secure interview privacy, and unconventional monitoring. Fifth, data collection in armed conflict settings often raises major ethical considerations that need to be carefully addressed. Overall, most good survey practice in armed conflict settings is no different from good general survey practice. But the challenges associated with these settings demand new mixes of existing approaches and flexibility to address the specific local conditions.

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Publisher: Cambridge University Press
Print publication year: 2014

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