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The power of the interviewer: a qualitative perspective on African survey data collection

Randall, Sara, Coast, Ernestina ORCID: 0000-0002-8703-307X, Compaore, Natacha and Antoine, Philippe (2013) The power of the interviewer: a qualitative perspective on African survey data collection. Demographic Research, 28 (27). 763 - 792. ISSN 1435-9871

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Identification Number: 10.4054/DemRes.2013.28.27


BACKGROUND African censuses and surveys remain dependent on interviewers for data collection. Data quality is assured through training and supervision. Many survey concepts are difficult to translate into African languages and some, such as “household”, may have multiple criteria which are not fulfilled by everyone, leading interviewers to prioritise different criteria. Some questions introduce unfamiliar ideas which require considerable negotiation by interviewers to obtain acceptable answers. OBJECTIVE To identify key stages in the data collection process and domains where interviewer judgement and interviewer-respondent social dynamics play a substantial role in determining who is included in household surveys, and in shaping responses to questions. METHODS We analyse published definitions, enumerator manuals and qualitative interview data with households, interviewers, supervisors, trainers, survey organisers and analysts along the chain of data production and use in Tanzania, Uganda, Senegal and Burkina Faso. RESULTS Despite comprehensive training manuals and definitions, interviewers influence who is included and excluded from surveys. Interviewer versatility needs to include both persuasive social skills and an ability to follow precise wording. In Africa, where survey concepts are often different from local concepts and where interviewers are socio-economically distant from respondents, these persuasive social skills are required throughout the interview process with unknown impact on the data produced. Language diversity is a major barrier to harmonisation. CONCLUSIONS To improve survey data validity more effort should be made to understand the influence of interviewers on data in low income settings.

Item Type: Article
Official URL:
Additional Information: © 2013 The Authors
Divisions: Social Policy
LSE Health
Subjects: D History General and Old World > DT Africa
G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography
H Social Sciences > H Social Sciences (General)
H Social Sciences > HV Social pathology. Social and public welfare. Criminology
JEL classification: J - Labor and Demographic Economics > J1 - Demographic Economics
Z - Other Special Topics > Z1 - Cultural Economics; Economic Sociology; Economic Anthropology > Z13 - Social Norms and Social Capital; Social Networks
Date Deposited: 10 Apr 2013 09:06
Last Modified: 01 Apr 2024 08:20
Projects: Harmonised households : the implications of standardised data tools for understanding intergenerational relations
Funders: Economic and Social Research Council

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