Web Survey Bibliography
Short description
This book concerns the error in data collected using sample surveys, the nature and magnitudes of the errors, their effects on survey estimates, how to model and estimate the errors using a variety of modeling methods, and, finally, how to interpret the estimates and make use of the results in reducing the error for future surveys. The book focuses on models that are appropriate for categorical data, although there are references to the differences and special problems that arise in the analysis and modeling of error for continuous data. Though the primary modeling method that is described is latent class analysis (LCA), a wide range of related models and applications are also discussed.
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Web survey bibliography - Marketing/business (336)
- Improving the quality of complex surveys: The case of the EU Labour Force Survey ; 2012; van der Valk, J.
- Multi-Language Multi-Continent B2B Community Panel: How B2B research can effectively span the world; 2012; Morden, M., Accomando, E.
- Can Survey Gaming Techniques Cross Continents? Examining cross cultural reactions to creative questioning...; 2012; Puleston, J.
- Research Goes Mobile: Findings from initial smartphone application research; 2012; Dubreuil, C., Joubert, S.
- Probabilistic survey questions and incorrect answers: Retirement income replacement rates; 2012; van Santen, P., Alessie, R., Kalwij, A.
- 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.
- “What a waste of time!” vs “Why not participate?” On sentiments by business...; 2012; Torres van Grinsven, V., Snijkers, G., Daas, P.
- A beginner's guide to DIY research ; 2012; Cates, T.
- The Reliability and Validity of Alternative Customer Satisfaction Measurement Scales in PC Web and Mobile...; 2012; Chrzan, K., Saunders, T.
- The Confirmit Annual Market Research Software Survey 2011; 2012; Macer, T., Wilson, S.
- How Likely?: Comparisons of Behavioral Intention Measurement Validity; 2012; Bremer, J., Thomas, R. K.
- Effects of Progress Indicators on Short Questionnaires; 2012; Sedley, A., Callegaro, M.
- Coverage error in internet surveys Can fixed phones fix it?; 2012; Vicente, P., Reis, E.
- 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.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- The impact of two-stage highly interesting questions on completion rates and data quality in online...; 2012; Hansen, J. M., Smith, S. M.
- Using Webinar Polls to Collect Online Survey Data: The Case of a Behavioral Finance Problem; 2012; Sahu, C.
- Less questions, more data: Revitalizing the european currency in single source affluent audience measurement...; 2011; Hartman, H.
- Gender-specific on-line shopping preferences; 2011; Ulbrich, F., Christensen, T., Stankus, L.
- The Game Experiments: Researching how gaming techniques can be used to improve the quality of feedback...; 2011; Sleep, D., Puleston, J.
- Voice-of-the-customer marketing: A revolutionary 5-step process to create customers who care, spend,...; 2011; Roman, E.
- Unpublisihed internal Google report on break off rates by device type; 2011; Callegaro, M.
- The impact of cookie deletion on site-server and ad-server metrics in Australia. An empirical comScore...; 2011
- State of mobile measurement; 2011; Gluck, M.
- SDSC Announces scalable, high-performance data storage cloud; 2011
- Online survey research: Findings, best practices, and future research. Report prepared for the Advertising...; 2011; Vannette, D.
- Online survey research: Findings, Best practices, and future research; 2011
- New Esomar survey on use of cookies and tracking technologies; 2011
- Latent class analysis of survey error; 2011; Biemer, P. P.
- Just published: Forrester Wave™ of enterprise feedback management satisfaction and loyalty solutions...; 2011; McInnes, A.
- Involve while you evolve. How to make mobile research work for everyone; 2011; Luck, K.
- Harvard research data security policy; 2011
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- Going online with assessment; 2011; Burke, E., Mahoney-Phillips, J., Bowler, W., Downey, K.
- Global market research 2011; 2011
- A Survey Stopping Rule Based on Weighting for Unit Nonresponse; 2011; Lewis, T.
- How far is too far: Traditional, flash and gamification interfaces, and implications for the future...; 2011; Puleston, J., Malinoff, B.
- Effects of internet data collection in business surveys – the case of the Dutch SBS; 2011; Giesen, D.
- Apples and oranges: does a web survey produce similar results to social media tracking?; 2011; Bourque, C., Hobbs, R., Hilaire, D. S.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Quantifying Open-Ended Responses: Results from an Online Advertising Tracking Survey; 2011; Jacobe, A., Brewer, L., Vakalia, F., Turner, S., Marsh, S. M.
- Dissemination of survey (meta)data in the LISS data archive; 2011; Streefkerk, M., Elshout, S.
- Underreporting in Interleafed Questionnaires: Evidence from Two Web Surveys; 2011; Medway, R., Viera Jr., L., Turner, S., Marsh, S. M.
- A mixed mode pilot on consumer barometer; 2011; Taskinen, P., Simpanen, M.