Web Survey Bibliography
A long-standing concern with self-interviewing methods is that respondents may lack the motivation to spend effort in completing the survey, which can lead to satisficing and compromised data quality. Recently researchers have started to explore the use of interactive feedback in computer-assisted self-interviewing (CASI) whereby respondents are prompted if satisficing behaviors are detected (e.g., respondents receive messages saying they are going too fast when their response time is quicker than a certain threshold). In particular, a small number of studies, mostly using online panels, have shown that such interactive feedback can effectively reduce targeted undesirable behaviors in Web surveys without a substantial increase in break-offs. While these findings are promising, it is not clear if the same success would be observed with other survey populations who may not be as motivated to complete surveys as panel respondents. Even more importantly, little is known as to whether this type of interactive feedback in self-administered surveys could affect perceived privacy and thus, introduce social desirability bias in answers to sensitive questions. We will report findings from a CASI survey of mental health risk and resilience among Soldiers new to the U.S. Army. Response speed prompts were implemented in response to concerns about satisficing behavior. The speed prompts were introduced approximately one quarter of the way through the study. Since the monthly samples are independent and representative, a natural pre/post comparison is possible. Survey data will be compared before and after the implementation to evaluate whether these prompts can effectively influence response time and improve response quality (based on indicators such as item nonresponse, straightlining, and acquiescence). We will also assess if the use of prompts could backfire – i.e., producing more break-offs and fewer reports of socially undesirable answers, given the survey is voluntary and contains many sensitive questions (e.g., suicidal ideation).
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Web survey bibliography - 2013 (465)
- Mobile Browser Web Surveys: Testing Response Rates, Data Quality and Best Practices; 2013; McGeeney, K., Marlar, J.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Speeding and Non-Differentiation in Web Surveys: Evidence of Correlation and Strategies for Reduction...; 2013; Zhang, Che.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- Effects of Respondent Reluctance, Mode, and Technical Difficulties on Straight- Lining and Refusals...; 2013; Gibson, J. L., Mendelson, J.
- The Relations Among Different Cognitive Shortcuts in Surveys; 2013; Tourangeau, R., Medway, R., Presser, S.
- Differential Incentives in a Dual Mode Survey of Health Care Providers; 2013; Roff, B., Barrett, K.
- Effects of Displaying Videos on Measurement in a Web Survey; 2013; Mendelson, J., Gibson, J. L., Romano Bergstrom, J. C.
- The Effect of Attempting to Recruit Respondents to a Web-Based Diary on Overall Response Rate; 2013; Cantave, M. A. Gentry, R. J.
- Watch Your Language!: The Impact of the Survey Language on Bilingual Hispanics’ Response Process...; 2013; Ay, M., Gross, W., Cobb, C. L., Thomas, R. K.
- Self-Reported Participation in Research Practices Among Survey Methodology Researchers; 2013; Perez-Vergara, K., Smith, C., Lowenstein, C., Ozonoff, A., Martins, Y.
- Changing of the Guard: Effects of Different Self-Administered Survey Modes on Sensitive Questions; 2013; Barlas, F. M., Higgins, W. B., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- Estimating Measurement Effects of Survey Modes From Between and Within Subject Designs; 2013; Klausch, L. T., Hox, J., Schouten, B.
- Web Versus Outbound: A Mode Face-Off Following the Presidential Debate; 2013; Marlar, J.
- Innovative Retention Methods in Panel Research: Can SmartPhones Improve Long-Term Panel Participation...; 2013; Dayton, J. J., Dyer, A.
- Predicting Survey Breakoff in Internet Survey Panels; 2013; Al Baghal, T., McCutcheon, A. L., Tsabutashvili, D.
- Using GIS to Target Address-Based Samples of Households for a Web (vs. Mail) Response: Evidence from...; 2013; Messer, B. L.
- Is Pushing the General Public to the Web in Address-Based Samples Cost Effective?; 2013; Lesser, V. M.
- Effects of Survey Sponsorship on Internet and Mail Response: Using Address- Based Sampling; 2013; Edwards, M. L.
- Grid Formats, Data Quality, and Mobile Device Use: A Questionnaire Design Approach; 2013; McClain, C., Crawford, S. D.
- Can Embedded Help Text Links in Web Survey Items Improve Data Quality?; 2013; Janson, N., Bennett, C., Caves, L., Cominole, M., Shepherd, B., Wine, J.
- Using the iPad as a Prize-Based Incentive to Boost Response Rates: A Case Study at Brigham Young University...; 2013; McClendon, R., Olsen, D.
- Can Google Consumer Surveys Help Pre-Test Alternative Versions of a Survey Question?: A Comparison of...; 2013; Stern, M. J., Welch, W. W.
- Online Panels: Recruitment Based on “Hot Topics” – What are the Consequences?; 2013; Andreasson, M., Martinsson, J.
- Social Network Analysis and Survey Response: How Facebook Data Can Supplement Survey Data; 2013; Sage, A.
- Surveywalls: A Breakthrough for Survey Customers or DIY Run Amok?; 2013; Wells, T., Dean, E., Rao, K., Murphy, J., Roe, D. J.
- Examining the Effects of Interventions to Obtain Participation via Less Expensive Modes: Results from...; 2013; Harris-Kojetin, L., Sengupta, M., Hobbs, M., Greene, A.
- Evaluating the Effect of a Non-Monetary Incentive in a Nationally Representative Mixed-Mode Establishment...; 2013; Sengupta, M., Harris-Kojetin, L., Hobbs, M., Greene, A.
- Dynamic Visual Design for List-Style Open-Ended Questions in Web Surveys; 2013; Fuchs, M.
- Classifying Mouse Movements to Predict Respondent Difficulty; 2013; Horwitz, R.
- Are You Seeing What I am Seeing? Exploring Response Option Visual Design Effects With Eye-Tracking; 2013; Libman, A., Smyth, J. D., Olson, K.
- Evaluating Interactive Feedback in Computer-Assisted Self-Interviewing (CASI); 2013; Hudson, M. L., Hupp, A., Zhang, C., Schroeder, H. M.
- Effective e-incentive for Online Study: Comparing Branded e-Gift Card and Virtual Cash Card; 2013; Jin, T., Duan, S., Lai, J. W., Link, M. W.
- First Contact Strategies for Web Surveys: Is a Phone Call or a Letter the More Effective Introduction...; 2013; Connelly, J., Sjoblom, M., Datta, R., Scholfield Hepburn, P.
- Response Format Effects in the Measurement of Employment; 2013; Rodkin, S., Thomas, R. K., Subias, S., Chu, C.
- Impact of Filter Questions on Estimates of Media Consumption; 2013; Cobb, C. L., Godinez, D., Thomas, R. K., Baim, J.
- The Effect of Survey Mode on Nonresponse Bias and Measurement Error: A Validation Approach; 2013; Kirchner, A., Felderer, B.
- Cross-Platform Measurement: User Experience With a Smartphone and Web Self- Reported Data Collection...; 2013; Petras, A. P., Duan, S., Dan, O.
- How Far Have We Come? The Lingering Digital Divide and Its Impact on the Representativeness of Internet...; 2013; Dennis, J. M., Cobb, C. L.
- How Do Different Sampling Techniques Perform in a Web-Only Survey? Results From a Comparison of a Random...; 2013; Bilgen, I., Stern, M. J., Wolter, K.
- Are Response Rates to a Web-Only Survey Spatially Clustered?; 2013; Fiorio, L., Stern, M. J., English, N., Bilgen, I., Curtis, B.
- The Effectiveness of Mailed Invitations for Web Surveys; 2013; Bandilla, W., Couper, M. P., Kaczmirek, L.
- Examining the Feasibility of SMS as a Contact Mode for a College Student Survey; 2013; Crawford, S. D., McClain, C., O'Brien, S., Nelson, T. F.
- The Impact on Web Survey Drop-Out Rates of Page Number Progress Indicators Used Throughout, Near the...; 2013; Walston, J. T., Cunningham, B., Medway, R.
- Survey Reminder Method Experiment: An Examination of Cost Efficiency and Reminder Mode Salience in the...; 2013; Anderson, M., Rogers, B., CyBulski, K., Hall, J. W., Alderks, C. E., Milazzo-Sayre, L.
- Using Qualitative and Quantitative Testing to Improve Hispanic Response Rates for Online Surveys; 2013; Pens, Y., Gentry, R. J.
- The Use of Email, Text Messages, and Facebook to Increase Response Rates Among Adolescents in a Longitudinal...; 2013; Fleeman, A., Francis, K., Henderson, Ti., Woodford, M., Jani, M.
- Use of Smart Phones/Text Messaging to Increase Response Rates; 2013; DuBray, P.
- Designing Surveys for Tablets and Smartphones; 2013; Lakhe, S., Nichols, E. M., Olmsted, M. G., King, T.
- Tablets as Data Entry Interfaces – Solving Data Cleaning and Transcription Issues During Data...; 2013; Costall, A.