Web Survey Bibliography
This research puts forward evidence for potential improvements in web response by taking into consideration the advantages entailed by offering a web mode design and making it salient to random sample members allocated in a mixed-mode design. The framework used to examine data on responses is Leverage- Salience Theory which argues that multiple survey attributes can be made salient during any survey request. In addition, LST states that each attribute has a potentially different leverage on response for each sample participant. LST allows us to examine web response within a longitudinal survey using a mixed mode design. The basis of this research will be the fifth wave of the (UKHLS) Innovation Panel. One third of households were randomly allocated to a face-to -face survey. For the other two-thirds of the sample a sequential web-CAPI mixed- mode design was employed. The longitudinal aspect of the survey allows for information about mode preferences as well as the provision of respondents' e-mail addresses and a range of other characteristics for respondents and non-respondents to be collected. Results show that non- respondents are likely to become a web respondent if they show a preference for the web and if they have previously supplied their e-mail address. These factors increase the likelihood of achieving an answer online. When being a respondent, the effect of preferring the web and the provision of an e-mail address increases the likelihood of responding online over face-to-face. It should be noted that, controlling for demographic factors, the interaction is not significant between web mode and supplying an e-mail. However, giving an e-mail is the relevant effect that may have a positive influence on responding online. Interestingly, once a participant becomes a respondent (face- to -face or web), preferring the web and supplying an e-mail address increase likelihood of answering online.
Web survey bibliography (4086)
- Methodological Considerations in the Use of Name Generators and Interpreters; 2015; Proeschold Bell, R. J.; Eagle, D. E.
- Item Nonresponse in a Mixed-Mode Household Travel Survey; 2015; Pena, R. J.; Wilbur, M.; Kolenikov, S.
- Survey Estimation: How Different Are Probability and Non-Probability Survey Designs?; 2015; Shook-Sa, B. E.; Dever, J. A.
- Experience of Multiple Approaches to Increase Response Rate in a Mixed-Mode Implementation of a Population...; 2015; Ding, M.;Leite-Bennett, A. K.; Landreman, U. E.; Johnson, D. R.; Mehrotra, K.; Rosenkranz, M.; Thompson...
- The Effect of Respondent Commitment on Response Quality in an Online Survey; 2015; Cibelli Hibben, K.; Conrad, F.
- Predictors of Completion Rates in Online Surveys; 2015; Cho, S.; Cohen, Jo.; Kuriakose, N.; Liu, M.
- Boosting Probability-Based Web Survey Response Rates via Nonresponse Follow-Up; 2015; Chew, K.; Fontes, A.; Lavrakas, P. J.
- Adding a Web Mode to Phone Surveys: Effectiveness and Cost Implications; 2015; Beebe, T. J.; Lien, R.; Luxenberg, H.; Rainey, J.
- Web Survey Response Examined from the Perspective of Leverage-Saliency Theory Within a Longitudinal...; 2015; Nares, Y. G.
- Challenging Survey Screen Designs on Smartphones; 2015; Nichols, E. M.; Olmsted, E. L.
- The Effect Usability Testing has on Data Quality: A Design of an Online Diary; 2015; Gentry, R. J.; Pens, Y.
- Making Usability-Testing a Standard Survey Pretesting Methodology; 2015; McFarlane, E.
- Measuring the Effects of Operational Designs on Response Rates and Nonresponse Bias; 2015; Anderson, Me.; Henrikson, N.; King, D.; Ulrich, K.
- U.S. Survey Research: Sampling; 2015
- A Systematic Generation of an Email Pool for Web Surveys; 2015; Silber, H.; Leibold, J.; Lischewski, J.; Schlosser, S.
- Are Tailored Outreach Efforts Too Costly? An Assessment of a Responsive Design Approach to Control Costs...; 2015; Epps, S. R.; Getman, D. P.; Hall, L. M.; Hunter, J. A.
- Nonresponse Analysis and Adjustment in the Follow- Up Study of a National Cohort of Gulf War And Gulf...; 2015; Dursa, E.; Hammer, H.; Kolenikov, S.; Schneiderman, A. I.
- Return To Sender: An Evaluation of Undeliverable (e)Mail in the Modern Age; 2015; Marlar, J.; Yu, D.
- Evaluating Visual Design Elements for Data Collection and Panelist Engagement; 2015; Christian, L. M.; Harm, D.; Langer Tesfaye, C.; Wells, T.
- Comparing Field and Laboratory Usability Tests to Assess the Consistency and Mistakes in Web Survey...; 2015; Croen, A.; Gonzales, N.; Ghandour, R.; Stern, M. J.
- Cell RDD Respondents Unmasked: Progress Report on Geo and Demo Appends to the Wireless Frame; 2015; DiSogra, C.; Kennedy, C.Mosher, M.
- Venue-Based and Real-Time Sampling Methodologies in an Intercept Survey of Cyclists; 2015; Iachan, R.; Driscoll, H.; Saucier, O.
- Cognitive Testing of Survey Translations: Does Respondent Language Proficiency Matter?; 2015; Schoua-Glusberg, A.; Park, H.; Meyer, M.; Goerman, P. L.; Sha, M.
- Culturally-Related Response Styles for Attitude Questions: A Comparative Analysis of Chinese and American...; 2015; Wang, Me.
- Innovative Uses of Paradata Across Diverse Contexts ; 2015; Cheung, G.; Pennell, B.-E.
- Identifying and correcting question-wording problems: the case of Wageindicator; 2015; Slavec, A., Vehovar, V., Tijdens, K. G.
- Mail survey abroad with an alternative web survey; 2015; de Rada, V. D., Domínguez-Álvarez, J. A.
- Does the use of mobile devices (tablets and smartphones) affect survey quality and choice behaviour...; 2015; Liebe, U., Glenk, K., Oehlmann, M., Meyerhoff, J.
- The Effects of the Direction of Rating Scales on Survey Responses in a Telephone Survey; 2015; Keusch, F., Yan, T.
- Web-based survey, calibration, and economic impact assessment of spending in nature based recreation; 2015; Paudel, K. P., Devkota, N., Gyawali, B.
- Predictors of inconsistent responding in web surveys; 2015; Akbulut, Y.
- The Prostate Cancer Journey Results of an Online Survey of Men and Their Partners; 2015; O'Shaughnessy, P. K., Laws, T. A., Esterman, A.
- Twelve-month prevalence and predictors of self-reported suicidal ideation and suicide attempt among...; 2015; Kang, E. H., Kim, G. M., Hyun, M. K., Choi, S. M., Kim, J. M., Woo, J. M.
- Association between first airborne cedar pollen level peak and pollinosis symptom onset: a web-based...; 2015; Bando, H., Sugiura, H., Ohkusa, Y., Akahane, M., Sano, T., Jojima, N., Okabe, N., Imamura, T.
- A Mixed-Methods Investigation of Factors and Scenarios Influencing College Students’ Decision...; 2015; Koskey, K. L. K.; Cain, B.; Alvim, H. G.; Slager, E. M.
- Selection error in single- and mixed mode surveys of the Dutch general population; 2015; Hox, J., Klausch, L. T., Schouten, B.
- Online Administration of a Quantified Self-Questionnaire for Elderly People: A User Satisfaction Survey...; 2015; Beauchet, O., Vilcocq-Merjagnan, C.
- Nannies' Knowledge, Attitude, and Management of Food Allergies of Children: An Online Survey; 2015; Greiwe, J. C., Pazheri, F., Schroer, B.
- A web-based survey of United Kingdom sedation practice in the intensive care unit; 2015; Yassin, S. M., Yassin, J., Terblanche, M., McKenzie, C. A.
- Does Opinion Leadership Increase the Followers on Twitter; 2015; Hwang, Y.
- e-Social Science Perspective on Survey Process: Towards an Integrated Web Questionnaire Development...; 2015; Vehovar, V., Petrovcic, A., Slavec, A.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Growing Beyond the Phone Tree; 2014; Hayzlett, J.
- A Comparison of Different Online Sampling Approaches for Generating National Samples; 2014; Heen, M. S. J., Lieberman, J. D., Miethe, T. D.
- Does Sequence Matter in Multimode Surveys: Results from an Experiment; 2014; Wagner, J., Arrieta, J., Guyer, H., Ofstedal, M. B.
- The Use of Cognitive Interviewing Methods to Evaluate Mode Effects in Survey Questions; 2014; Gray, M., Blake, M., Campanelli, P.
- A Mixed Methods Approach to Network Data Collection; 2014; Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., Palinkas, L. A.
- Infliential Factors on Survey Outcomes: Length of Survey, Device Selection and Extrnal Elements; 2014; Ribeiro, E.
- The Effect of Mobile Web Survey Design on Screen Orientation Manipulation; 2014; Young, R.H.; Crawford, S. D.; Couper, M. P.; Nelson, T. F.
- Investigating Response Quality in Mobile and Desktop Surveys: A Comparison of Radio Buttons, Visual...; 2014; Toepoel, V.; Funke, F.