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 (4086)
- The case for publishing (some) online polls; 2007; Taylor, H.
- Surveys interviews and new communication technologies; 2007; Schober, M. F., Conrad, F. G.
- Spoken and multimodal dialog systems for survey research; 2007; Johnston, M.
- Sampling in online surveys; 2007; Beidernikl, G., Kerschbaumer, A.
- Sampling for web surveys; 2007; Rivers, D.
- Response option ordering: Reconciliating meanings conveyed by rating scale position and label. Unpublished...; 2007; Garland, P., Krosnick, J. A.
- Research synthesis: The practice of cognitive interviewing; 2007; Beatty, P. C., Willis, G. B.
- Reinterview: A tool for survey quality improvement; 2007; Feindt, P., Schreiner, I., Bushery, J.
- Reconstructing childhood health histories using internet panels; 2007; Smith, J. P.
- Qualitative data exchange: Methods and tools; 2007; Corti, L.
- Pilot study to recruite a sample for an online panel: Effects of contact mode, incentives and information...; 2007; Scherpenzeel, A.
- Overcoming challenges to conducting online surveys; 2007; Ye, J.
- Opportunities and constraints of electronic research; 2007; Roberts, L. D.
- Nicht-reaktive datenerhebung: Teinahmeverhalten bei befragungen mit paradaten evaluieren. [Non reactive...; 2007; Kaczmirek, L., Neubarth, W.
- New technologies and tools for study management: Designing, implementing and maintaining a Web-based...; 2007; Courtney, L., Warmoth, E., Rodan, M., Katz, K., Subramanian, S., Kiely, M.
- Multiple imputation: review of theory, implementation and software; 2007; Harel, O., Zhou, X. H.
- More honest answers to surveys? A Study of data collection mode effects; 2007; Dennis, J. M., Li, R. J.
- Modes, trends, and content: A comparison of the 2003 HRS internet survey with HRS 2002 and 2004 Core...; 2007; Weir, D.
- Mixed-mode surveys with Netservey; 2007; Papagiannidis, S., Li, F.
- Lessons learned: Converting a telephone survey panel to an internet panel; 2007; Roe, D. J., Stockdale, J., Farrelly, M., Heinrich, T.
- Is Quanvert here to stay?; 2007; Read, N.
- ICC/ESOMAR International code on market and social research; 2007
- Global market research 2007; 2007
- Estimation of the effects of measurement characteristics on the quality of survey questions; 2007; Saris, W. E., Gallhofer, I.
- Equivalence of electronic and off-line measures; 2007; Roberts, L. D.
- Electronic data collection methods; 2007; Singh, M., Burgess, S.
- Dual-mode electronic survey lessons and experiences; 2007; Lang, M.
- Does mode matter for modeling political choice? Evidence from the 2005 British Election Study; 2007; Sanders, D., Clarke, H. D., Stewart, M. C., Whiteley, P.
- Developments in electronic survey design for establishment surveys; 2007; O'Neill, G.
- Design and development of an electronic survey system; 2007; Aaron, B., Desai, S.
- Counterfactuals and causal inference: Methods and principles for social research; 2007; Morgan, S. L., Winship, C.
- Can I use a panel? Panel conditioning and attrition bias in panel surveys; 2007; Das, M., Toepoel, V., van Soest, A.
- A guide to understanding Internet measurement alternatives; 2007
- Internet research ethics; 2007; Ess, C.
- Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace ; 2007; Dwyer, R., Passerini , K., Hiltz, S. R.
- Knitting Patterns: for interview and analysis; 2007; Jenkins, S.
- Surveys and Technology – Polishing the Crystal Ball; 2007; Neffendorf, H.
- Choosing Web Surveys: mode choices among Youth Cohort Study respondents; 2007; Wardle, H., Robinson, C.
- Using Chat Tools to Perform Evaluation Interviews Eve-Marie Larsen; 2007; Larsen, E.-M.
- The Effect of Reminder Intervals on Response Rates for Web Surveys; 2007; Lemon, J. S.
- A new era of Market Research – Real-Time Sampling™ (RTS); 2007; Davis, H.
- Survey Research in a Wireless World; 2007; Pazurik, A., Cameron, M. R.
- Whither the Web: Web 2.0 and the Changing World of Web Surveys; 2007; Couper, M. P.
- Internet-based survey design for university web sites : a case study of a Thai university ; 2007; Vate-U-Lan, P.
- Visualizing Personal Networks: Working with Participant-aided Sociograms; 2007; Hogan, B., Carrasco, J. A., Wellman, B.
- Online research ethics; 2007; Madge, C.
- Response time measurement in the lab and on the Web: A comparison; 2007; Galesic, M., Reips, U.-D., Kaczmirek, L., Czienskowski, U., Liske, N., von Oertzen, T.
- Context effects in Internet Surveys: New issues and evidence; 2007; Smyth, J. D., Dillman, D. A., Christian, L. M.
- Technical considerations when implementing online research; 2007; Schmidt, W. C.
- Psychological Research on the Internet; 2007; Krantz, J. H.