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Collecting data on sensitive experiences and attitudes: a Malian case study
[Collecter des données sur des expériences et attitudes sensibles : le cas du Mali]

Author

Listed:
  • Olivia Bertelli
  • Thomas Calvo
  • Massa Coulibaly
  • Moussa Coulibaly
  • Emmanuelle Lavallée
  • Marion Mercier

    (LEDa - Laboratoire d'Economie de Dauphine - IRD - Institut de Recherche pour le Développement - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Sandrine Mesplé-Somps
  • Ousmane Z Traoré

Abstract

In standard household surveys, the data collected are exposed to response bias, particularly for questions considered sensitive. The List Experiment method is an alternative survey technique for limiting these biases. This article presents the results of an experimental survey conducted using this method with 1,509 individuals throughout Mali. Individuals were surveyed by telephone during the summer of 2021 about their experiences and political attitudes related to insecurity. From a methodological point of view, we have drawn a number of lessons from the survey: among others, a very good understanding and acceptability of the method by the respondents, due in particular to the quality of the interviewers and supervisors; the need for a more complex sample design than for a standard questionnaire; and the importance of a short questionnaire when surveying by telephone. From an analytical point of view, the survey reveals the existence of significant social desirability biases - particularly for questions concerning political attitudes in relation to insecurity.

Suggested Citation

  • Olivia Bertelli & Thomas Calvo & Massa Coulibaly & Moussa Coulibaly & Emmanuelle Lavallée & Marion Mercier & Sandrine Mesplé-Somps & Ousmane Z Traoré, 2023. "Collecting data on sensitive experiences and attitudes: a Malian case study [Collecter des données sur des expériences et attitudes sensibles : le cas du Mali]," Post-Print hal-04366322, HAL.
  • Handle: RePEc:hal:journl:hal-04366322
    DOI: 10.57832/nqe5-ya47
    Note: View the original document on HAL open archive server: https://hal.science/hal-04366322
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    References listed on IDEAS

    as
    1. M. Niaz Asadullah & Elisabetta De Cao & Fathema Zhura Khatoon & Zahra Siddique, 2021. "Measuring gender attitudes using list experiments," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 367-400, April.
    2. Katherine B. Coffman & Lucas C. Coffman & Keith M. Marzilli Ericson, 2017. "The Size of the LGBT Population and the Magnitude of Antigay Sentiment Are Substantially Underestimated," Management Science, INFORMS, vol. 63(10), pages 3168-3186, October.
    3. Karlan, Dean S. & Zinman, Jonathan, 2012. "List randomization for sensitive behavior: An application for measuring use of loan proceeds," Journal of Development Economics, Elsevier, vol. 98(1), pages 71-75.
    4. Carole Treibich & Aurélia Lépine, 2019. "Estimating misreporting in condom use and its determinants among sex workers: Evidence from the list randomisation method," Health Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 144-160, January.
    5. Elisabetta De Cao & Clemens Lutz, 2018. "Sensitive Survey Questions: Measuring Attitudes Regarding Female Genital Cutting Through a List Experiment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(5), pages 871-892, October.
    6. Blair, Graeme & Coppock, Alexander & Moor, Margaret, 2020. "When to Worry about Sensitivity Bias: A Social Reference Theory and Evidence from 30 Years of List Experiments," American Political Science Review, Cambridge University Press, vol. 114(4), pages 1297-1315, November.
    7. Lépine, Aurélia & Treibich, Carole & D’Exelle, Ben, 2020. "Nothing but the truth: Consistency and efficiency of the list experiment method for the measurement of sensitive health behaviours," Social Science & Medicine, Elsevier, vol. 266(C).
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    Keywords

    Phone survey; social desirability bias; Mali; List Experiment; Security; Phone survey social desirability bias Mali List Experiment Security;
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