Web Survey Bibliography
Grids are commonly used, particularly in web surveys, when multiple items share the same response options. Previous research has found that displaying multiple items in a single grid yields higher correlated responses and less item differentiation compared to using either fewer grid items per screen or having one single item per screen (Tourangeau et al, 2004, Yan, 2005, Toepel et al, 2009). Also, responses in a grid appear to be less consistent when the item definitions are reversed, although the difference is not significant (Callegaro et al, 2009). The aim of our study is to investigate how the number of grid items and screens affect response behavior and data quality given a large number of overall items (12). Users who opt into a survey linked from the Google Maps interface will be shown one of five grid format conditions from a split ballot experiment. Across all groups, users will be presented with only one grid per screen, but the number of screens and grid-items will vary; in the first group, users will be presented with one twelve-item grid, in the second group, two-six item grids, in the third group, three four-item grids, and so forth. Additionally, all twelve grid-items will be randomized across screens and all grids will be presented with the same fully labeled 5-point response scale. We hypothesize that the distribution of answers will differ across experimental conditions and drop-offs and item non-response will increase with larger grids. Additionally, we hypothesize that grids with more items will lead to more measurement error as indicated by a higher rate of inconsistency, especially when the meaning of some grid-items is reversed (i.e confusing vs. simple).
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Web survey bibliography - 2012 (371)
- Investigating the Impact of the Number of Grid Items on Web Survey Responses; 2012; Guo, F., Nunge, E.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- The JanDY Online Survey System; 2012; Kamstra, J., Henley, M., Johnson, M.
- The Detection and Effects of Data From Potentially Ineligible Participants in Online Survey Research...; 2012; Grey, J.
- Guidelines for developing a robust web survey; 2012; Naithani, P.
- Internet Mobility Survey Sampling Biases in Measuring Frequency of Use of Different Transport Modes; 2012; Diana, M.
- Bringing data from an online survey or spreadsheet into SPSS; 2012; Raftery, D.
- Using e-surveys to access the views of football fans within online communities; 2012; Gibbons, T., Nuttall, D.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- Exploring the impact of animation-based questionnaire on conducting a web-based educational survey and...; 2012; Chien, Y.-T., Chang, C.-Y.
- Marktforschung mit dem iPad-Panel von Axel Springer Media Impact; 2012
- Online and Paper-Based: A Mixed-Method Approach to Conducting a Needs Assessment Survey of Physicians...; 2012; Olatunbosun, T., Wu, C., Grewal, G., Lynn, B.
- The “frequency divide”: implications for internet-based surveys; 2012; Vicente, P., Reis, E.
- Effects of Personalized Versus Generic Implementation of an Intra-Organizational Online Survey on Psychological...; 2012; Mueller, K., Straatmann, T., Hattrup, K., Jochum, M.
- Web Surveys: Methodological Problems and Research Perspectives; 2012; Biffignandi, S., Bethlehem, J.
- Increasing Response Rate in Web-Based/Internet Surveys; 2012; Manzo, A. N., Burke, J. M.
- Open-ended Questions in Web Surveys: One Large vs. Ten Small Boxes; 2012; Keusch, F.
- Effects of Pagination on Short Online Surveys; 2012; Sedley, A., Callegaro, M.
- A Systematic Review of Studies Investigating the Quality of Data Obtained with Online Panels; 2012; Callegaro, M., Villar, A., Krosnick, J. A., Yeager, D. S.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Surveytainment 2.0: Why investing 10 more minutes more in constructing your questionnaire is worth considering...; 2012; Muehle, A., Tress, F., Schmidt, S., Winkler, T.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Time use data collection using Smartphones: Results of a pilot study among experienced and inexperienced...; 2012; Scherpenzeel, A., Sonck, N., Fernee, H., Morren, Me.
- Scrutinizing Dynamics – Rolling panel waves in theory and practice; 2012; Faas, T., Blumenberg, J. N.
- 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.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- Automatic Forwarding on Web Surveys – Some Outlines and Remarks; 2012; Selkaelae, A.
- Thinking, Planning & Operationalizing Empirical Mixed Methods Research Design; 2012; Ruhi, U.
- Continuous large-scale volunteer web-surveys: The experience of Lohnspiegel and WageIndicator; 2012; Oez, F.
- Is Pretesting Established Among Online Survey Tool Users?; 2012
- An Evaluation of Two Non-Reactive Web Questionnaire Pretesting Methods; 2012; Lenzner, T.
- Recommendations for implementing online surveys and simple experiments in social and behavioural research...; 2012; Hewson, C. M.
- High potential for mobile Web surveys: Findings from a survey representative for German Internet users...; 2012; Funke, F., Wachenfeld, A.
- A taxonomy of paradata for web surveys and computer assisted self interviewing (Casi); 2012; Callegaro, M.
- Can Social Media Research replace traditional research methods?; 2012; Faber, T., Einhorn, M., Hofmann, O., Loeffler, M.
- Bad Boy Matrix Question – Whatcha gonna do when they come for you?; 2012; Tress, F.
- Matrix vs. Single Question Formats in Web Surveys: Results from a large scale experiment; 2012; Klausch, L. T., de Leeuw, E. D., Hox, J., de Jongh, A., Roberts , A.
- Effects of Static versus Dynamic Formatting Instructions for Open-Ended Numerical Questions in Web Surveys...; 2012; Kunz, T., Fuchs, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The influence of social desirability on data quality in face-to-face and web surveys; 2012; Keusch, F.
- Reducing the Threat of Sensitive Questions in Online Surveys; 2012; Couper, M. P.
- Using the Internet to Administer More Realistic Vignette Experiments; 2012; Caro, F. G., Ho, T., McFadden, D., Gottlieb, A. S., Yee, C., Chan, T.,
- Succinct Survey Measures of Web-Use Skills; 2012; Hargittai, E., Hsieh, Y. P.