Web Survey Bibliography
The quality of survey measurements is a main topic of survey research. When interpreting survey data, survey researchers always have to deal with possibly biasing response effects like acquiescence or question order effects, i.e. with problems of validity and reliability. Another possible source of survey bias is the use of different survey modes which could lead to different kinds or sources of biasing factors in response behavior.
As a special type of paradata, unobtrusive measurement of response latencies has the potential to give researchers insights into cognitive processes which are activated while respondents answer to survey questions (e.g. analysis of accessibility of mental associations or the depth of information processing).
In this paper, quality of attitude scales (in terms of reliability, validity, and strength of response effects) are analyzed in a comparative approach, analyzing data of web surveys and a CATI study using the same attitude scales. These attitude scales consist of negative and positive worded items, allowing the analysis of acquiescence effects which are expected to be stronger when respondents answer spontaneously, i.e. when response latencies are fast.
Estimating multiple group and interaction structural equation models, the paper helps to answer questions (1) whether web survey and CATI data are differently or equally biased by response effects, and (2) whether respondents' behavior is identical or not comparing both survey modes. Additionally, from a methodological perspective, it is possible to (3) compare the power of response latency as moderator of data quality of web versus telephone surveys.
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Web survey bibliography (81)
- Data chunking for mobile web: effects on data quality; 2017; Lugtig, P. J.; Toepoel, V.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- Mobile Device Use in Web Surveys Among College Students: Predictors and Consequences for Data Quality...; 2016; Beach, S.; Musa, D.; Strotmeyer, S.; Schlarb, J.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones...; 2016; Revilla, M.; Toninelli, D.; Ochoa, C.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- When Should I Call You? An Analysis of Differences in Demographics and Responses According to Respondents...; 2016; Vicente, P.; Lopes, I.
- Online Surveys are Mixed-Device Surveys. Issues Associated with the Use of Different (Mobile) Devices...; 2016; Toepoel, V.; Lugtig, P. J.
- Mobile Research Methods: Opportunities and challenges of mobile research methodologies. ; 2015; Toninelli, D. (Ed.); Pinter, R.; de Pedraza, P.
- Collecting Health Research Data - Comparing Mobile Phone-assisted Personal Interviewing to Paper-and...; 2015; van Heerden, A. C.; Norris, S. A.; Tollman, S. M.; Richter, L. M.
- The Effects of Questionnaire Completion Using Mobile Devices on Data Quality. Evidence from a Probability...; 2015; Bosnjak, M.; Struminskaya, B.; Weyandt, K.
- Designing web surveys for the multi-device internet; 2015; de Bruijne, M.
- Mobility Enabled: Effects of Mobile Devices on Survey Response and Substantive Measures; 2015; Barlas, F. M.; Randall, T. K.
- Innovations in Email Invitation Design for Today’s Digital World; 2015; Saunders, T.; Kessler, A.
- Emerging Technologies: The Rise of Mobile Devices: From Smartphones to Smart Surveys; 2015; Buskirk, T. D.
- Open narrative questions in PC and smartphones: is the device playing a role?; 2015; Revilla, M.; Ochoa, C.
- Mixed-method feasibility study comparing the outpatient assessment of burn patients using a tablet device...; 2015; Mitchell, S. S.
- Mobile Devices for the Collection of Sensitive Information; 2015; Maitland, A.; Mercer, A. W.; Tourangeau, K.; Williams, Do.
- The Impact of Mixing Modes on Reliability in Longitudinal Studies; 2014; Cernat, A.
- Global market research 2013; 2013
- Australia: building a 21st century readership survey; 2013; Green, A., White, H.
- The new swiss national readership survey: fit for the future ; 2013; Amschler, H., Hoffmann, J.
- Relative Mode Effects on Data Quality in Mixed-Mode Surveys by an Instrumental Variable; 2013; Vannieuwenhuyze, J. T. A., Revilla, M.
- Is the Sky Falling? New Technology, Changing Media, and the Future of Surveys; 2013; Couper, M. P.
- A report on the Confirmit Market Research Software Survey 2013; 2013; Macer, T., Wilson, S.
- Survey Breakoffs in a Computer-Assisted Telephone Interview; 2013; McGonagle, K.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Mobility and Smartphones: a pilot study of travel data collection among experienced and inexperienced...; 2013; Douhou, S., Scherpenzeel, A.
- Mobile devices a way to recruit hard-to-reach groups? Results from a pilot study comparing desk top...; 2013; Toepoel, V., Lugtig, P. J.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Comparison of quality of web survey and CATI data using unobtrusive response latencies; 2013; Mayerl, J.
- Comparability of substantive results between modes and incentive conditions in a probability-based telephone...; 2013; Pekari, N.
- Data Collection Method Comparisons for the 2011 Fishing, Hunting, and Wildlife-Associated Recreation...; 2013; Herbstritt, M., Hornick, D.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Measuring the same concepts in several modes in the "BIBB/BAuA-Employee-Survey 2011/12" ; 2013; Gensicke, M., Tschersich, N., Hartmann, J.
- Error Prevention through Interviewer Emulation? Introducing questionnaire dialogues in the Norwegian...; 2013; Gravem, D. F.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Comparing Tablet, Computer, and Smartphone Survey Administrations; 2013; Wells, T., Bailey, J., Link, M. W.
- Cross-Platform Measurement: User Experience With a Smartphone and Web Self- Reported Data Collection...; 2013; Petras, A. P., Duan, S., Dan, O.
- 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.
- Surveys on Mobile Devices: Opportunities and Challenges; 2013; Couper, M. P.
- Benefits of Modular Design for Mobile and Online Surveys; 2012; Kelly, F., Johnson, A., Stevens, S.
- Unintentional mobile respondents; 2012; Peterson, G.
- Understanding Mode Effects between Mobile Web and Mobile SMS Surveys; 2012; Poduska, B., Johnson, E. P.
- Measures of Data Quality Across the RDD Frames; 2012; Lavrakas, P. J.
- Mobile Survey Participation Rates in Commercial Market Research: A Meta-Analysis; 2012; Bosnjak, M., Poggio, T., Becker, K. R., Funke, F., Wachenfeld, A., Fischer, B.
- Qualitatively Speaking: Mobile qualitative finally hits its stride; 2012; Bryson, J.
- Modular Survey Design for Mobile Devices; 2012; Johnson, A., Kelly, F.
- Using SMS Text Messaging To Collect Time Use Data; 2012; Brenner, P., DeLamater, J.
- Telephone Status, Attitudes toward Participation in Future Surveys, and Willingness to Join a Local...; 2012; Beach, S., Musa, D.