Web Survey Bibliography
Title Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya
Author Johnson, D.
Source Survey Practice, 9, 1
Year 2016
Access date 14.03.2016
Full text pdf (645 KB)
Abstract We report results from a set of experimental surveys designed to assess the feasibility of using SMS surveys to collect data on users of a mHealth service in Kenya. We sent a short set of five or six questions to all new users of Mobiles for Reproductive Health, an SMS-based service in Kenya which provides information on family planning methods. The timing of the survey, the talk-time incentive offered for completing the survey, and access to the family planning service were randomized to estimate the impact of these factors on response rates. In addition, a subset of users was sent a second follow-up survey 5 to 11 weeks later. We find that 39.5 percent of users began the first survey and 20.9 percent of users completed all questions on the first survey. In contrast, 28.4 percent of users began the second survey and 14.1 percent of users completed the second survey. The vast majority of responses received were properly formatted and comprehensible. Survey timing, survey incentives for completion, and access to treatment had no effect on the response rates for either the first or second surveys. Our results indicate that SMS surveys are a feasible mode of data collection for our population of interest and, for this population, do not require individual financial incentives to encourage response.
Access/Direct link Journal Homepage (Abstract) / (Full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography - Survey Practice (65)
- Device and Internet Use among Spanish-dominant Hispanics: Implications for Web Survey Design and Testing...; 2017; Trejo, Y. A. G.; Schoua-Glusberg, A.
- Improving survey response rates: The effect of embedded questions in web survey email Invitations; 2017; Liu, M.; Inchausti, N.
- Mobile-only web survey respondents; 2016; Lugtig, P. J.; Toepoel, V.; Amin, A.
- Effect of a Pre-Paid Incentive on Response Rates to an Address-Based Sampling (ABS) Web-Mail Survey; 2016; Suzer-Gurtekin, Z.; Elkasabi, M.; Liu, Me.; Lepkowski, J. M.; Curtin, R.; McBee, R.
- Adaptive survey designs to minimize survey mode effects – a case study on the Dutch Labor Force...; 2016; Calinescu, M.; Schouten, B.
- Navigation Buttons in Web-Based Surveys: Respondents’ Preferences Revisited in the Laboratory; 2016; Romano Bergstrom, J. C.; Erdman, C.; Lakhe, S.
- Collecting Data from mHealth Users via SMS Surveys: A Case Study in Kenya; 2016; Johnson, D.
- “Money Will Solve the Problem”: Testing the Effectiveness of Conditional Incentives for...; 2016; DeCamp, W.; Manierre, M. J.
- Effects of Incentive Amount and Type of Web Survey Response Rates; 2016; Coopersmith, J.; Vogel, L. K.; Bruursema, T.; Feeney, K.
- Effect of a Post-paid Incentive on Response to a Web-based Survey; 2016; Brown, J. A.; Serrato, C. A.; Hugh, M.; Kanter, M. H.; A.; Spritzer, K. L.; Hays, R. D.
- The 2013 Census Test: Piloting Methods to Reduce 2020 Census Costs; 2016; Walejko, G. K.; Miller, P. V.
- Computers, Tablets, and Smart Phones: The Truth About Web-based Surveys; 2016; Merle, P.; Gearhart, S.; Craig, C.; Vandyke, M.; Brooks, M. E.; Rahimi, M.
- Scientific Surveys Based on Incomplete Sampling Frames and High Rates of Nonresponse; 2016; Fahimi, M.; Barlas, F. M.; Thomas, R. K.; Buttermore, N. R.
- Probabilistic Web Survey Methodology in Education Centers: An Example in Spanish Schools; 2015; Tapia, J. A., Menendez, J. A.
- Understanding Participation in a Web-Based Measurement Burst Design: Response Metrics and Predictors...; 2015; Griffin, J., Patrick, M. E.
- Rating Scales in Survey Research: Using the Rasch model to illustrate the middle category measurement...; 2015; Bradley, K. D., Peabody, M. R., Akers, K. S., Knutson, N. M.
- Facebook as a Tool for Respondent Tracing; 2015; Schneider, S. J., Burke-Garcia, A., Thomas, G.
- Social Science Survey Methodology Training: Understanding the Past and Assessing the Present to Shape...; 2015; Jans, M., Meyers, M., Fricker, S.
- Future Training of Survey Methodologists; 2015; Kolenikov, S., Jans, M., O'Hare, B. C., Fricker, S.
- Survey participation via mobile devices in a probability-based online-panel: Prevalence, determinants...; 2014; Poggio, T., Bosnjak, M., Weyandt, K.
- Examining the Effect of Prenotification Postcards on Online Survey Response Rate in a University Graduate...; 2014; Lalasz, C. B., Doane, M. J., Springer, V. A., Dahir, V. B.
- The Effectiveness of Mailed Invitations for Web Surveys and the Representativeness of Mixed-Mode versus...; 2014; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Respondent-Driven Sampling of Heterosexuals at Increased Risk of HIV Infection; 2014; Batra, P., Gray, S. C., Krishna, N., Prachand, N., Robinson, W. T., Wejnert, C.
- Two Are Better Than One: The Use of a Mixed-Mode Data Collection to Improve the Electoral Forecast; 2014; de Rada, V. D., Pasadas del Amo, S.
- Recent Books and Journals in Public Opinion, Survey Methods, and Survey Statistics; 2014; Callegaro, M.
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- The Smartphone Way to Collect Survey Data; 2013; Stapleton, C.
- Measuring Compliance in Mobile Longitudinal Repeated-Measures Design Study; 2013; Link, M. W.
- Is everyone able to use a smartphone in survey research?; 2013; Fernee, H., Sonck, N.
- A Comparison of Data Quality Across Modes in a Mixed-Mode Collection of Administrative Records; 2013; Worthy, M., Mayclin, D.
- Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples; 2013; Fan, D. P.
- To Click, Type, or Drag? Evaluating Speed of Survey Data Input Methods; 2013; Husser, J. A., Husser, J. A.
- The smart(phone) way to collect survey data; 2013; Stapleton, C.
- Do Mail and Internet Surveys Produce Different Item Nonresponse Rates? An Experiment Using Random Mode...; 2012; Millar, M. M., Dillman, D. A.
- Item Nonresponse in a Client Survey of the General Public; 2012; Israel, G. D., Lamm, A. J.
- Comparing Item Nonresponse across Different Delivery Modes in General Population Surveys; 2012; Lesser, V. M., Newton, L., Yang, D.
- Determinants of Item Nonresponse to Web and Mail Respondents in Three Address-Based Mixed-Mode Surveys...; 2012; Messer, B. L., Edwards, M. L., Dillman, D. A.
- Exploring Animated Faces Scales in Web Surveys: Drawbacks and Prospects; 2012; Emde, M., Fuchs, M.
- Smart Surveys for Smart Phones: Exploring Various Approaches for Conducting Online Mobile Surveys via...; 2012; Buskirk, T. D., Andrus, C.
- Using Facebook to Locate Sample Members; 2011; Rhodes, B. B., Marks, E. L.
- Paradata in Survey Research; 2011; West, B. T.
- Towards Usage of Avatar Interviewers in Web Surveys; 2011; Jans, M., Malakhoff, L.
- Making Good Use of Survey Paradata; 2010; Lynn, P., Nicolaas, G.
- Multi-Mode and Method Experiment in a Study of Nurses; 2010; Friese, C. R., Lee, C. S., O'Brien, S., Crawford, S. D.
- An Experiment With an Employment Sector Question; 2010; Finno, A. A., Kohout, J.
- Lottery Incentives and Online Survey Response Rates; 2010; Preece, M. J., Johanson, G., Hitchcock, J.
- Practical Considerations in Raking Survey Data; 2009; Battaglia, M. P., Hoaglin, D.C, Franklin, P. D.
- Cell Phone Mainly Households: Coverage and Reach for Telephone Surveys Using RDD Landline Samples; 2009; Boyle, J., Lewis, F., Tefft, B.
- Declining Working Phone Rates Impact Sample Efficiency; 2009; Piekarski, L.
- Using Non-Probability Samples for Confusion Surveys - Mall Intercepts and the Internet; 2009; Ericksen, E. P.