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Collecting quantitative experimental data from a non-WEIRD population: challenges and practical recommendations from a field experiment in rural Sierra Leone.

Hanna Luetke LanferDoreen ReifegersteSorie Ibrahim Kargbo
Published in: BMC research notes (2021)
This paper reports several methodological challenges encountered along the research process of collecting quantitative survey data (i.e., during recruitment, obtaining informed consent, matching pretest-posttest data and data collection) for a mixed-methods field experiment on domestic handwashing in Sierra Leone. Ethical dilemmas of certain research practices are pointed out and potential solutions or alternatives are recommended for each challenge. Analysis of these challenges highlights the importance of reflecting on the aptness of research methodologies for non-WEIRD samples. While this is not to say that quantitative surveys are not suitable in a non-WEIRD context, their employment require considerable time for extensive pilot testing, involving local interviewers and participants in designing research projects and the modification of data collection strategies.
Keyphrases
  • electronic health record
  • big data
  • high resolution
  • primary care
  • healthcare
  • emergency department
  • cross sectional
  • clinical trial
  • study protocol
  • data analysis
  • machine learning
  • artificial intelligence
  • mental illness