Randomized, Multicenter, Parallel-Arm (RMPA) research trial design: a potential solution to survey length, response rate and data quality in social science research
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DOI: 10.1057/s41270-023-00233-7
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- Maria Petrescu & Anjala S. Krishen, 2019. "Strength in diversity: methods and analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(4), pages 203-204, December.
- Young, Robert B. & Javalgi, Rajshekhar G., 2007. "International marketing research: A global project management perspective," Business Horizons, Elsevier, vol. 50(2), pages 113-122.
- Rebecca R. Andridge & Roderick J. A. Little, 2010. "A Review of Hot Deck Imputation for Survey Non‐response," International Statistical Review, International Statistical Institute, vol. 78(1), pages 40-64, April.
- Tambor, E.S. & Chase, G.A. & Faden, R.R. & Geller, G. & Hofman, K.J. & Holtzman, N.A., 1993. "Improving response rates through incentive and follow-up: The effect on a survey of physicians' knowledge of genetics," American Journal of Public Health, American Public Health Association, vol. 83(11), pages 1599-1603.
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Keywords
Survey length; Multi-Arm Research; Recombining survey data;All these keywords.
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