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Keynotes, Special Sessions, and Workshops

Overcoming Online Survey Data Quality Challenges in Using Qualtrics, Amazon Mechanical Turk, and Prolific

Authors
  • Kyuree Kim (Iowa State University)
  • Ann Marie Marie Fiore (Iowa State University)
  • Te-Lin Chung orcid logo (Iowa State University)
  • Olivia Johnson (University of Houston)
  • Srikant Manchiraju (Florida State University)

Abstract

The special topic session addressed challenges regarding online survey sampling methods and provided information on how to improve the quality of data from three digital sampling services: Qualtrics, Amazon MechanicalTurk, and Prolific.

Keywords: Data quality, Qualtrics, MTurk, Prolific, Online survey, Digital sampling

How to Cite:

Kim, K., Fiore, A. M., Chung, T., Johnson, O. & Manchiraju, S., (2022) “Overcoming Online Survey Data Quality Challenges in Using Qualtrics, Amazon Mechanical Turk, and Prolific”, International Textile and Apparel Association Annual Conference Proceedings 78(1). doi: https://doi.org/10.31274/itaa.13813

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Published on
2022-09-23

Peer Reviewed

License

Creative Commons Attribution 4.0