This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832)

Published on in Vol 15, No 3 (2013): March

An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists

An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists

An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists

Authors of this article:

Jeanette Y Ziegenfuss1 ;   Blake D Niederhauser2 ;   David Kallmes2 ;   Timothy J Beebe3
Article Authors Cited by (15) Tweetations (5) Metrics

Journals

  1. Chung S, Hacker E, Rawl S, Ellis R, Bakas T, Jones J, Welch J. Using Facebook in Recruiting Kidney Transplant Recipients for a REDCap Study. Western Journal of Nursing Research 2019;41(12):1790 View
  2. Niederhauser B, Liaw K, McDonald R, Thomas K, Hudson K, Kallmes D. Pick Up a Book or “Google It?” A Survey of Radiologist and Trainee-Preferred References and Resources. Journal of Digital Imaging 2014;27(1):26 View
  3. Chiba Y, Nakayama T. Cultural immersion through international experiences among Japanese nurses: Present status, future intentions, and perceived barriers. Japan Journal of Nursing Science 2016;13(3):378 View
  4. Keusch F. Why do people participate in Web surveys? Applying survey participation theory to Internet survey data collection. Management Review Quarterly 2015;65(3):183 View
  5. Turnbull A, O'Connor C, Lau B, Halpern S, Needham D. Allowing Physicians to Choose the Value of Compensation for Participation in a Web-Based Survey: Randomized Controlled Trial. Journal of Medical Internet Research 2015;17(7):e189 View
  6. Weaver L, Beebe T, Rockwood T. The impact of survey mode on the response rate in a survey of the factors that influence Minnesota physicians’ disclosure practices. BMC Medical Research Methodology 2019;19(1) View
  7. Hollier L, Pettigrew S, Minto C, Slevin T, Strickland M. Assessing the potential to combine attitude tracking and health campaign evaluation surveys. Health Promotion Journal of Australia 2016;27(2):170 View
  8. Liu M, Wronski L. Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys. Social Science Computer Review 2018;36(1):116 View
  9. Han J, Fang M, Ye S, Chen C, Wan Q, Qian X. Using Decision Tree to Predict Response Rates of Consumer Satisfaction, Attitude, and Loyalty Surveys. Sustainability 2019;11(8):2306 View
  10. Lavidas K, Petropoulou A, Papadakis S, Apostolou Z, Komis V, Jimoyiannis A, Gialamas V. Factors Affecting Response Rates of the Web Survey with Teachers. Computers 2022;11(9):127 View
  11. Tangmanee C, Niruttinanon P. Web Survey’s Completion Rates: Effects of Forced Responses, Question Display Styles, and Subjects’ Attitude. International Journal of Research in Business and Social Science (2147- 4478) 2019;8(1):20 View
  12. Tangmanee C, Niruttinanon P. Effects of Forced Responses and Question Display Styles on Web Survey Response Rates. International Journal of Research in Business and Social Science (2147- 4478) 2015;4(2):54 View
  13. Sobolewski J, Rothschild A, Freeman A. The Impact of Incentives on Data Collection for Online Surveys: Social Media Recruitment Study. JMIR Formative Research 2024;8:e50240 View
  14. VanGeest J, Johnson T, Kapousouz E. Monetary Incentives in Clinician Surveys: An Analysis and Systematic Review With a Focus on Establishing Best Practices. Evaluation & the Health Professions 2024 View

Books/Policy Documents

  1. VanGeest J, Beebe T, Johnson T. Health Survey Methods. View