Web Survey Bibliography
Scope: This study focuses on measurement error, one component of error of observation in the framework of the total survey error (Groves et al., 2009). More precisely, this research is about is formatting error that occurs if a rating scale does not provide a perfectly matching response option (see Schwarz & Oyserman, 2001). Therefore data collected with two different closed-ended rating scales – conventional 5-point scales and graphical visual analogue scales (VASs) – were checked against each other. About VASs: The general advantages of VASs are (1) great sensitivity because of a great range, (2) data are less affected by error, leading to more statistical power (see Funke, 2010), and (3) there are far more possibilities for data analysis (e.g., recoding into odd and even number of categories, as well as into any empirical quantile). Study Design: Respondents (N = 460) completed a 40 item Big Five personality test (found at http://ipip.ori.org/ipip/). In a between-subjects design participants were randomly assigned to a questionnaire that was either made of 5-point scales or of VASs. The VASs used in the study were plain, horizontal lines with only the ends verbally anchored. They had a range of 250 values and they were generated with the free Web service VAS Generator (see http://vasgenerator.net).
Results: Overall, higher loadings on predicted factor and lower loadings on unpredicted factors lead to more explained variance with VASs in comparison to 5-point scales. The expected factor structure was considerably clearer with VASs than with 5-point scales.
Conclusion: This study adds further evidence that VASs can have a beneficial effect on data quality and that one should think about the general reluctance to use this rating scale. Overall, VASs’ positive scale characteristics should be taken advantage of in computerized data collection.
Conference Homepage (abstract)
Web Survey Bibliography - Online measurement (986)
- Permission email messages significantly increase gambler retention; 2013; Jolley, W., Lee, A., Mizerski, R., Sadeque, S.
- How virtual corporate social responsibility dialogs generate value: A framework and propositions; 2013; Korschun, D., Du, S.
- Customer loyalty to a commercial website: Descriptive meta-analysis of the empirical literature and...; 2013; Toufaily, E., Ricard, L., Perrien, J.
- Discovering interest groups for marketing in virtual communities: An integrated approach; 2013; Wang, K. -Y., Wu, H. -J., Ting, I -H.
- Understanding service quality in a virtual travel community environment; 2013; Elliot, S., Li, G., Choi, C.
- Research note: E-store image, perceived value and perceived risk; 2013; Chang, E. -C., Tseng, Y. -F.
- Measuring Up: Impact of mobile and segmentation on respondent behaviour; 2013; Luck, K.
- Best of Both Worlds? Can we make convenience samples representative?; 2013; Doe, P.
- Multimode, Global Scale Usage: Understanding respondent scale usage across borders and devices; 2013; Pettit, F. A., Courtright, M.
- ‘Digital Methods as Mainstream Methodology’: Building capacity in the research community...; 2013; Roberts, S., Hine, C., Morey, Y., Snee, H., Watson, H.
- The impact of website content dimension and e-trust on e-marketing effectiveness: The case of Iranian...; 2013; Rahimnia, F., Farzaneh Hassanzadeh, J.
- Exploring factors associated with respondent mode choice for surveys using mobile devices.; 2013; Walton, L.
- Responsive design for mixed-mode panel data; 2013; Bianchi, A., Biffignandi, S.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- Computers, Tablet & Smart Phones: The Truth about Web‐based Surveys; 2013; Merle, P., Gearhart, S., Craig, C., Rahimi, M., Brooks, M. E., Vandyke, M.
- Impact of mode design on reliability in longitudinal data; 2013; Cernat, A.
- Online Survey Participation via Mobile Devices: implications for nonresponse; 2013; Poggio, T., Bosnjak, M.
- Mobility and Smartphones: a pilot study of travel data collection among experienced and inexperienced...; 2013; Douhou, S., Scherpenzeel, A.
- The Relation of Survey Topic and Participation Behavior. Analyzing Unit Nonresponse using web-generated...; 2013; Zillmann, D., Schmitz, A., Blossfeld, H. P.
- The Attention Span of a Goldfish: Impacts of Survey Mobilization on Respondents ; 2013; Luck, K.
- Phish Rising: How Internet Criminals are Undermining the Viability of Online Survey Research…and...; 2013; Kunovic, K.
- Möglichkeiten zur impliziten Messung von Emotionen am Beispiel webcambasierter Gesichtsausdruckserkennung...; 2013; Wachenfeld, A., Moentmann, A., Bernet, F.
- Mode effects in Labour Force Surveys - do they really matter?; 2013; Koerner, T.
- Identifying and Mitigating Satisficing in Web Surveys: Some Experimental Evidence; 2013; Rossmann, J.
- Latent legitimacy: joint effects of religious orientation on the association between values and acceptance...; 2013; Henseler, A. K., Siegers, P., Beckers, T.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Designing a Pilot to Introduce Web Collection in the UK Labour Force Survey; 2013; Merad, S.
- Comparing Questionnaire Pretesting Methods for the 2015 Population and Housing Census of Korea; 2013; Park, Y.
- The comparability of Don't Know answers between CATI and CAWI modes; 2013; Pohjanpaa, K., Jarvensivu, M.
- Leveraging Auxiliary Data, Differential Incentives, and Survey Mode to Target Hard-to-Reach Groups in...; 2013; Link, M. W., Thu Burks, A.
- Does It Pay Off to Include Non-Internet Households in an Internet Panel? ; 2013; Leenheer, J., Scherpenzeel, A.
- ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service; 2013; Freelon, D. G.
- Filling the Void: Gaining a Better Understanding of Tablet-based Surveys; 2013; Wells, T., Bailey, J., Link, M. W.
- Mail and Web-Based Survey Administration: A Case Study With Recreational Users of Virginia's Wildlife...; 2013; Carrozzino-Lyon, A. L., McMullin, S. L., Parkhurst, J. A.
- The 2012 Confirmit Annual Market Research Software Survey; 2013; Macer, T., Wilson, S.
- Mode Effects in Mixed-Mode Surveys: Prevention, Diagnostics, and Adjustment 1; 2013; de Leeuw, E. D., Dillman, D. A., Schouten, B.
- Comparing Web-based with Mail Survey Administration of the Consumer Assessment of Healthcare Providers...; 2013; Bergeson , S. C., Gray, J., Ehrmantraut, L. A., Hays, R. D.
- Online survey of insolvency professionals undertaken for TSO. Summary analysis prepared for survey participants...; 2013; Tribe, J., Purdy, D.
- Data Collection in Sociolinguistics: Methods and Applications; 2013; Mallinson, C., Childs, B., Van Herk, G.
- Online Survey Data Quality and its Implication for Willingness-to-Pay: A Cross-Country Comparison; 2013; Gao, Z., House, L., Jing, X.
- Online Survey Design and Development: A Janus-Faced Approach; 2013; Lauer, C., McLeod, M., Blythe, S.
- Satisficing in Web Surveys: Implications for Data Quality and Strategies for Reduction; 2013; Zhang, C.
- Scientific impact of the MESS Project: A brief overview; 2013; Das, M.
- A probability-based web panel for the UK: What could it look like?; 2013; Nicolaas, G.
- Current UK provision of web panaels and Omnibus; 2013; Lagorio, C.
- ONS Plans for Web Data Collection in LFS; 2013; Lound, C.
- On-line questionnaire completion time and personality test scores; 2013; Furnham, A., Hyde, G., Trickey, G.
- Evaluation of a Sequential Mixed-Mode Design Experiment with Physicians on Response Rates, Costs, and...; 2013; Geisen, E., Olmsted, M. G., Murphy, J., Stanley, M.
- When We Do Not Know the Difference – the Level of DK in Different Question Formats and Different...; 2013; Schwarzer, S., Zeglovits, E., Connor, D. S.
- Factors Influencing Survey Participation Rates on an Online, Probability-Based Research Panel; 2013; Wiest, D.