Web Survey Bibliography
Missing data is a common complication in data analysis. In many medical settings missing data can cause difficulties in estimation, precision and inference. Multiple imputation (MI) (Multiple Imputation for Nonresponse in Surveys. Wiley: New York, 1987) is a simulation-based approach to deal with incomplete data. Although there are many different methods to deal with incomplete data, MI has become one of the leading methods. Since the late 1980s we observed a constant increase in the use and publication of MI-related research. This tutorial does not attempt to cover all the material concerning MI, but rather provides an overview and combines together the theory behind MI, the implementation of MI, and discusses increasing possibilities of the use of MI using commercial and free software. We illustrate some of the major points using an example from an Alzheimer disease (AD) study. In this AD study, while clinical data are available for all subjects, postmortem data are only available for the subset of those who died and underwent an autopsy. Analysis of incomplete data requires making unverifiable assumptions. These assumptions are discussed in detail in the text. Relevant S-Plus code is provided. Copyright © 2007 John Wiley & Sons, Ltd.
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Web survey bibliography - Marketing/business (336)
- Implementation of a reaction time tool for brand measurement at Swisscom; 2009; Paar, I., Urbahn, J.
- It’s all about customer satisfaction - Advantages and limitations of online surveys in applied...; 2009; Einhorn, M., Klein-Reesink, T., Löffler, M.
- Measuring Network Quality: Strengths and Weaknesses of different Evaluation Methods (SMS, w@p and web...; 2009; Wallisch, A., Schwab, H.
- The new IT environment for the Italian consumer price survey; 2009; Giannini, R., Polidoro, F., Sgamba, A. M., Silipo, M., Spagnuolo, F., Virgillito, A.
- A hybrid online and offline approach to market measurement studies; 2009; Cooke, M., Watkins, N., Moy, C.
- A usability of a new graphical shopping interface through GlobalPark; 2009; Groenen, P. J. F., Kagie, M.
- The reparation of trust after negative feedback – the results of two online experiments among...; 2009; Utz, S.
- Internet research differs from research on internet users: some methodological insights into online...; 2009; Lohmann, M., Schmucker, D. J.
- Doing surveys where it matters - the GPS-age and privacy. How the MR industry can do surveys where the...; 2009; Tjostheim, I., Fritsch, L.
- Evaluating two different mobile survey approaches: personal mobile panel research and ad-hoc mobile...; 2009; Friedrich-Freksa, M., Metzger, G.
- Using mobile research to get to the heart of branding and marketing effectiveness right now; 2009; Day, D.
- Mobile phone surveys in mixed mode environment; 2009; Vehovar, V.
- The advisory panel on online public opinion survey quality - Final report June 4, 2008; 2008
- Online panel management practices that minimize satisficing behavior; 2008; Weber, S.
- An online panel as a platform for multi-disciplinary research; 2008; Scherpenzeel, A.
- Analytic implications of panel data quality; 2008; Harlow, B.
- Pavlov revisited; 2008; De Wulf, K., Friedman, M., Borggreve, B.
- Digital moms; 2008; Wilbur, C. Rimmer, L.
- Getting animated about emotion; 2008; Penn, D.
- Can online panels be truly global?; 2008; Shashkin, A. V.
- Using Internet Pages of Organisations as Data Source for Social Science Research; 2008; Baumgarten, B., Grauel, J.
- The Danish time use and consumption survey 2008/9 - preliminary experiencies from applying a combined...; 2008; Bonke, J.
- Testing the Effects of Multiple Manipulations on Print and Online Survey Response Rates: Lessons Learned...; 2008; Bachman, M., Vaccaro, D.
- ‘For Example’: How Different Example Types in Online Surveys Influence Frequency ; 2008; Berent, M., Krosnick, J. A.
- Computing Metrics for Online Panels; 2008; Callegaro, M., DiSogra, C.
- An Iranian Experience of Internet Surveys; 2008; Khoshgooyanfard, A. R.
- Designing and conducting online interviews to investigate interesting consumer phenomena; 2008; Gruber, T., Szmigin, I., Reppel, A. E., Voss, R.
- Not Mixed-Mode but Switch-Mode; 2008; Höglinger, M., Abraham, M., Arpagaus, J.
- Sample bias, weights and efficiency of weights in a continuous web voluntary survey; 2007; de Pedraza, P., Tijdens, K., de Bustillo, R.
- XSight and the shaping of Marketing Analytics; 2007; Birks, D. F.
- Utopia - a complete research management system; 2007; Brandwood, T.
- The challenge of geocoding large-scale travel surveys; 2007; J.Smith, A. J.
- Multiple imputation: review of theory, implementation and software; 2007; Harel, O., Zhou, X. H.
- ICC/ESOMAR International code on market and social research; 2007
- Global market research 2007; 2007
- Electronic data collection methods; 2007; Singh, M., Burgess, S.
- A new era of Market Research – Real-Time Sampling™ (RTS); 2007; Davis, H.
- Low-Cost, Hosted Online Surveys Open up Opportunities for Businesses to Quickly Gain Insights Into and...; 2007; Ramstetter Wenzel, A.
- ONLINE DATA COLLECTION – SOLUTION OR BAND-AID?; 2007; Crassweller, A., Williams, D., Thompson, I.
- MAGAZINE EFFECTIVENESS NOW DIRECTLY OBSERVABLE; 2007; Green, M.
- A preliminary study of electronic surveys as a means to enhance management accounting research; 2007; Al-Omiri, M.
- Surfable Surveys: Using Web-Based Technology to Reach Newsroom Respondents ; 2007; Adams, T., Cleary, J.
- The Consumer Panel Reinvented; 2007; Fielding, M.
- The anonymous elect. Market research through online access panels; 2006; Postoaca, A.
- Research quality: The next MR industry challenge; 2006; Dedeker, K.
- Online marketing research; 2006; Miller, J.
- Microsoft sues testing material vendors; 2006; Johnston, S. J.
- Greenfield unveils real-time sampling; 2006
- Global market research 2006; 2006
- The 2006 Confirmit Annual MR Software Survey; 2006; Macer, T., Wilson, S.