Web Survey Bibliography
In the field of online research, and particularly with respect to online access panels, the amount of information the research institute should provide its respondents with when sending out invitations is still discussed quite controversially.
On the one hand, revealing too many details holds the risk of self-selection among potential participants. Furthermore, if the topic is explained, experienced panellists only interested in incentives might adjust their answers to the screening questions in order to take part in every possible survey. Such behaviour is likely to cause untrue statements and bias in the studies’ results.
On the other hand, not including enough information in invitations involves the risk of potential participants deciding not to take part in a survey as they are, for instance, unsure about the incentives or the amount of time they have to invest in order to complete the questionnaire.
Consequently, the following questions arise:
Is it sufficient to just inform the panel members that there is a questionnaire waiting for completion? Should information on the length of the survey, the field time and the incentives paid for completion be included in the email? Or would it even benefit the response and results to announce the topic of the survey?
The lecture aims at eliciting answers to these questions.
It is based on an empirical study including about 30 experiments with 1000 respondents each. In the course of this study, the invitation-emails were systematically varied, and the different response rates were monitored.
The information content of the emails was differentiated in a way that one part of the panellists always received a mail containing extensive information about the study, whilst two additional groups either received information regarding the questionnaire’s length and the incentive or were informed about the topic of the survey. A last group finally obtained an invitation only including a link to the questionnaire but no additional information describing the survey at all.
The analysis of the projects realised aims at identifying and presenting the optimal information content of email- invitations for online surveys.
Conference homepage (abstract)
Web Survey Bibliography - Online measurement (986)
- Effects of Self-Awareness on Disclosure During Skype Survey Interviews; 2013; Feuer, S., Schober, M. F.
- The Effect of Differential Mailing Methodologies on Response Rates: Testing Advanced Notices, Pre-Recorded...; 2013; Pens, Y., Cantave, M. A., Gentry, R. J.
- The Influence of Respondent Incentives on Item Nonresponse and Measurement Error in a Web Survey; 2013; Felderer, B., Kreuter, F., Winter, J.
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- The Influence of Answer Box Format, Personal Topic Interest, and Respondent Characteristics on Response...; 2013; Keusch, F.
- Using Motivating Prompts to Increase Responses to Open-ended Questions in Mixed-mode Surveys: Where...; 2013; Israel, G. D.
- How Open Are We to the Open-Ended Questions?; 2013; Mamedova, S.
- Will Snowball Sampling Leave Your Data in the Cold?; 2013; Cavallaro, K.
- Panel Attrition: Separating Stayers, Sleepers and Other Types of Drop-Out in an Internet Panel; 2013; Lugtig, P. J.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Alone in a Group: Comparison of Effects of a Group-Administered Paper-Pencil Survey Versus an Individually...; 2013; Higgins, W. B., Barlas, F. M., Pflieger, J., Thomas, R. K., Jeffery, D., Mattiko, M.
- 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, C.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- Suppressing Survey Response: Further Evidence to Not Use Web Instruction Cards; 2013; Puniello, O. T., Weiner, M., Noland, R. B.
- 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.
- Comparisons of Online Recruitment Strategies: Craigslist, Facebook, Google Ads and Amazon’s Mechanical...; 2013; Antoun, C., Zhang, C., Conrad, F. G., Schober, M. F.
- 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.
- Estimation of Expected Academic Engagement Behaviors: The Use of Vague Quantifiers Versus Tallied Responses...; 2013; Cole, J.
- 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.
- Examining Response Time Outliers Though Paradata in Online Panel Surveys; 2013; Lee, J., Al Baghal, T.
- 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.
- 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.
- 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.
- 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.
- Paradata in Web Surveys; 2013; Callegaro, M.
- Are Response Rates to a Web-Only Survey Spatially Clustered?; 2013; Fiorio, L., Stern, M. J., English, N., Bilgen, I., Curtis, B.
- The Use of Email, Text Messages, and Facebook to Increase Response Rates Among Adolescents in a Longitudinal...; 2013; Fleeman, A., Francis, K., Henderson, T., Woodford, M., Jani, M.
- Tablets as Data Entry Interfaces – Solving Data Cleaning and Transcription Issues During Data...; 2013; Costall, A.
- Potential Impact of Modifying the Fielding Time of a Web-Based Survey; 2013; Baum, H. M., Chandonnet, A.
- How Representative are Google Consumer Surveys?: Results From an Analysis of a Google Consumer Survey...; 2013; Krishnamurty, P., Tanenbaum, E., Stern, M. J.
- A Comparison Between Screen/Follow Item Format and Yes/No Item Format on a Multi-Mode Federal Survey; 2013; Hernandez,S. J., Arakelyan, S. N., Welch, V. E.
- Tablets and Smartphones and Netbooks, Oh My! Effects of Device Type on Respondent Behavior; 2013; Ross, H., Mendelson, J., Lackey, M.
- Multi-Mode Survey Administration: Does Offering Multiple Modes at Once Depress Response Rates?; 2013; Newsome, J., Levin, K., Langetieg, P., Vigil, M., Sebastiani, M.
- Utilizing the Web in a Multi-Mode Survey; 2013; Venkataraman, L.
- Changing to a Mixed-Mode Design: The Role of Mode in Respondents’ Decisions About Participation...; 2013; Collins, D., Mitchell, M., Toomes, M.