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Unit Response and Costs in Web Versus Face-To-Face Data Collection: Comparison of Two Cross-sectional Health Surveys.

Elise BraekmanStefaan DemarestRana CharafeddineSabine DrieskensFinaba BereteLydia GisleJohan Van der HeydenGuido F Van Hal
Published in: Journal of medical Internet research (2022)
The F2F unit response rate was generally higher, yet for certain groups the difference between web and F2F was more limited. Web data collection has a considerable cost advantage. It is therefore worth experimenting with adaptive mixed-mode designs to optimize financial resources without increasing selection bias (eg, only inviting sociodemographic groups who are keener to participate online for web surveys while continuing to focus on increasing F2F response rates for other groups).
Keyphrases
  • cross sectional
  • healthcare
  • public health
  • electronic health record
  • mental health
  • big data
  • machine learning
  • young adults
  • artificial intelligence
  • data analysis
  • deep learning
  • human health