Web Survey Bibliography
Background: Sample size calculations require effect size estimations. Sometimes, effect size estimations and standard deviation may not be readily available, particularly if efficacy is unknown because the intervention is new or developing, or the trial targets a new population. In such cases, one way to estimate the effect size is to gather expert opinion. This paper reports the use of a simple strategy to gather expert opinion to estimate a suitable effect size to use in a sample size calculation. Methods: Researchers involved in the design and analysis of clinical trials were identified at the University of Birmingham and via the MRC Hubs for Trials Methodology Research. An email invited them to participate. An online questionnaire was developed using the free online tool 'Survey Monkey'. The questionnaire described an intervention, an electronic participant information sheet (e-PIS), which may increase recruitment rates to a trial. Respondents were asked how much they would need to see recruitment rates increased by, based on 90%. 70%, 50% and 30% baseline rates, (in a hypothetical study) before they would consider using an e-PIS in their research. Analyses comprised simple descriptive statistics. Results: The invitation to participate was sent to 122 people; 7 responded to say they were not involved in trial design and could not complete the questionnaire, 64 attempted it, 26 failed to complete it. Thirty-eight people completed the questionnaire and were included in the analysis (response rate 33%; 38/115). Of those who completed the questionnaire 44.7% (17/38) were at the academic grade of research fellow 26.3% (10/38) senior research fellow, and 28.9% (11/38) professor. Dependent upon the baseline recruitment rates presented in the questionnaire, participants wanted recruitment rate to increase from 6.9% to 28.9% before they would consider using the intervention. Conclusions: This paper has shown that in situations where effect size estimations cannot be collected from previous research, opinions from researchers and trialists can be quickly and easily collected by conducting a simple study using email recruitment and an online questionnaire. The results collected from the survey were successfully used in sample size calculations for a PhD research study protocol.
NCBI Database (full text)/(abstract)
Web Survey Bibliography - Solicitations & incentives (602)
- Effects of Lotteries on Response Behavior in Online Panels; 2013; Goeritz, A., Luthe, S. C.
- Lotteries and study results in market research online panels; 2013; Goeritz, A., Luthe, S. C.
- Using Web Surveys for Psychology Experiments: A Case Study in New Media Technology for Research; 2013; Peden, B. F., Tiry , A. M.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- Using mobile devices to access the realities of youth: How identification with society influences political...; 2013; Smith, M.
- Do I Have Your Full Attention?; 2013; Cape, P. J.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Challenges for Researchers Investigating Contraceptive Use and Pregnancy Intentions of Young Women Living...; 2013; Herbert, D. L., Loxton, D., Bateson, D., Weisberg, E., Lucke, J. C.
- Pros and cons of virtual interviewers – vote in the discussion about surveytainment; 2013; Póltorak, M., Kowalski, J.
- An Assessment of Incentive Versus Survey Length Trade-offs in a Web Survey of Radiologists; 2013; Ziegenfuss, J. Y., Niederhauser, B. D., Kallmes, D., Beebe, T. J.
- The fish model: What factors affect participants while filling in an online questionnaire?; 2013; Mohamed, B., Lorenz, A., Pscheida, D.
- The monetary value of good questionnaire design; 2013; Tress, F.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Timing of Nonparticipation in an Online Panel: The effect of incentive strategies; 2013; Douhou, S., Scherpenzeel, A.
- Online Research, Game On!; 2013; Puleston, J.
- Examining the Gender Effects of Different Incentive Amounts in a Web Survey; 2013; Boulianne, S. J.
- How Do Lotteries and Study Results Influence Response Behavior in Online Panels?; 2013; Goeritz, A., Luthe, S. C.
- Incentives for college student participation in web-based substance use surveys; 2013; Patrick, M. E., Singer, E., Boyd, C. J., Cranford, J. A., McCabe, S. E.
- Increasing Web Survey Response Rates in Innovation Research: An Experimental Study of Static and Dynamic...; 2013; Sauermann, H.; Roach, M.
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- The Use and Effects of Incentives in Surveys; 2012; Singer, E.
- An Empirical Investigation of the Role of the Email Contact in Web Survey Response Rates; 2012; Hsu, H.-Y., Lai, Y.-H., Chin, H.-Y.
- Mode and non-response effects and their treatment; 2012; Chrysanthopoulos, S., Georgostathi, A.
- The role of topic interest and topic salience in online panel web surveys.; 2012; Keusch, F.
- Effects of E-Mailed Versus Mailed Invitations and Incentives on Response Rates, Data Quality, and Costs...; 2012; Dykema, J., Stevenson, J., Klein, L., Kim, Y., Day, B.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.
- Effects of Incentives in Surveys; 2012; Toepoel, V.
- Response rates in three opinion surveys performed through online questionnaires in the health setting...; 2012; Aerny Perreten, N., Domínguez-Berjón, M. F., Astray Mochales, J., Esteban-Vasallo, M. D., Blanco Ancos...
- Detecting Satisficing In Online Surveys: What we found ; 2012; Salifu, S.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- The Mode of Invitation for Web Surveys; 2012; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Recruiting A Probability Sample For An Online Panel: Effects Of Contact Mode, Incentives, And Information...; 2012; Scherpenzeel, A., Toepoel, V.
- Understanding Society Innovation Panel Wave 4: Results from Methodological Experiments; 2012; Burton, J., Budd, S., Gilbert, E., Jaeckle, A., Kaminska, O., Uhrig, S.C. N., Brown, M., Calderwood,...
- The Propensity of Older Respondents to Participate in a General Purpose Survey; 2012; Lynn, P.
- When More Gets You Less: A Meta-Analysis of the Effect of Concurrent Web Options on Mail Survey Response...; 2012; Medway, R., Fulton, J.
- Does Giving People Their Preferred Survey Mode Actually Increase Survey Participation Rates?; 2012; Olson, K., Smyth, J. D., Wood, H.
- Online Data Collection in the Agro-Food Sector; 2012; Biffignandi, S., Artaz, R.
- Predicting potential respondents' decision to participate in web surveys; 2012; Fang, J., Wen, C.
- Case study: Respondent perspective on survey response; 2012; Jarrett, C.
- Effect of different stimulus on data quality in online panels; 2012; Zagar, S., Lozar Manfreda, K.
- Using the Web to Snowball Discussants of Survey Respondents; 2012; Hopmann, D. N.
- Don't rush through the qualitative screening process ; 2012; Dodson, D.
- The Effectiveness of Survey Recruitment Methods in Second Life; 2012; Dean, E., Cook, S., Murphy, J., Keating, M.
- Improving RDD Cell Phone Samples. Evaluation of Different Pre-call Validation Methods; 2012; Kunz, T., Fuchs, M.
- Influencing Mode Choice in a Mixed Mode Survey; 2012; Mooney, G., Lan, F., Lin, X., Hurwitz, A.
