Web Survey Bibliography
This report describes methods to calculate weights for ANES studies that account for the sampling design and match population benchmark for selected variables. ANES data are based
on complex sample designs and must be weighted to adjust for the sample design in order to generalize to the population. Weights for such analysis must adjust for unequal probability of
household selection and for respondent selection within households. Additionally, the method described here includes nonresponse adjustment and post-stratification raking when needed to
match known population benchmarks. Poststratification factors should be selected based on a comparison to benchmark statistics, to correct notable differences from benchmarks. The
selection of poststratification factors, coding categories, and trimming thresholds should be made to strike a balance between variance in the weights and accuracy of the estimates. In panel
studies, weights should be calculated for each combination of waves that will be analyzed together. Panel weights may also be developed to adjust for panel attrition. Details are described
at each step in the process.
Web survey bibliography - 2009 (509)
- Creation and Usability Testing of a Web-Based Pre-Scanning Radiology Patient Safety and History Questionnaire...; 2016; Robinson, T. J.; DuVall, S.; Wiggins III, R
- Mixed Research as a Tool for Developing Quantitative Instruments; 2009; Onwuegbuzie, A. J.; Bustamante, R. M.; A. A.Nelson, J. A.
- Slider Scales in Online Surveys; 2009; Cape, P. J.
- User’s Guide to the Advance Release of the 2008-2009 ANES Panel Study ; 2009; DeBell, M.; Krosnick, J. A.; Lupia, A.; Roberts, C.
- The denominator problem: Estimating MSM-specific incidence of sexually transmitted infections and prevalence...; 2009; Marcus, U., Schmidt, A. J., Kollan, C., Hamouda, O.
- Survey Research in the United States: Roots and Emergence 1890-1960 ; 2009; Converse, P. D.
- Practical Considerations in Raking Survey Data; 2009; Battaglia, M. P., Hoaglin, D.C, Franklin, P. D.
- Methods for oversampling rare subpopulations in social surveys; 2009; Kalton, G.
- Start of the LISS panel: Sample and recruitment of a probability-based Internet panel ; 2009; Scherpenzeel, A.
- Comparing response rates in e-mail and paper surveys: A meta-analysis; 2009; Shih, T.-H., Fan, X.
- Recycling and waste minimisation behaviours of the transient student population in Oxford: results of...; 2009; Robertson, S., Walkington, H.
- ESS Handbook for Quality Reports; 2009
- ESS Standard for Quality Reports; 2009
- Guest Blog: More on the Problems with Opt-in Internet Surveys; 2009; Langer, G.
- Psychological Factors Affecting Perceptions of Unsolicited Commercial E-mail; 2009; Morimoto, M., Chang, S.
- Innovations in Social Science Research Methods; 2009; Xenitidou, M., Gilbert, N.
- Where Is the unproctored Internet testing train headed now?; 2009; Tippins, N. T.
- Statistical disclosure control for survey data; 2009; Skinner, C.
- Response format effects on measurement of employment; 2009; Thomas, R. K., Dillman, D. A., Smyth, J. D.
- Preserving the integrity of online testing; 2009; Burke, E.
- Mobile surveys from a technological perspective; 2009; Pferdekämper, T., Batanic, B.
- MarketTools TrueSample; 2009
- ISO 26362 Access panels in market, opinion, and social research-Vocabulary and service requirements; 2009
- Internet alternatives to traditional proctored testing: Where are we now?; 2009; Tippins, N. T.
- From the Editor; 2009; Sackett, P. R.
- Exploring mode effects in a panel survey of new businesses; 2009; Santos, B., DesRoches, D.
- Dirty little secrets of online panels. And how the one you select can make or break your study; 2009
- comScore Media Metrix U.S. Methodlogy. An ARF research review; 2009; Cook, W. A., Pettit, R.
- Can we make official statistics with self-selection web surveys?; 2009; Bethlehem, J.
- Attitudes over time: The psychology of panel conditioning; 2009; Sturgis, P., Allum, N., Brunton-Smith, I.
- Association collaborative effort releases online research definitions, expands membership; 2009
- The Effect of Phrasing Scale Items in Low-Brow or High-Brow Language on Responses; 2009; Blasius, J., Friedrichs, J.
- Question and Questionnaire Design; 2009; Krosnick, J. A., Presser, S.
- Attrition in Consumer Panels; 2009; Tortora, R. D.
- Sample Design for Understanding Society ; 2009; Lynn, P.
- The 2008 Confirmit Annual Market Research Software Survey; 2009; Macer, T., Wilson, S.
- Predicting Tie Strength With Social Media; 2009; Karahalios, K., Gilbert, Er.
- A Special Report from the Advertising Research Foundation - The Foundations of Quality Initiative: A...; 2009; Walker, R., Pettit, R., Rubinson, J.
- A Web-Based Tool for Assessing and Improving the Usefulness of Community Health Assessments; 2009; Stoto, M. A., Straus, S. G., Bohn, C., Irani, P.
- The rise of survey sampling; 2009; Bethlehem, J.
- Using an ABS frame to recruit a probability-based online panel; 2009; DiSogra, C.
- Address Based Sampling: How to Do It, Practical Tips; 2009; Dutwin, D.
- Use of Incentives in Survey Research; 2009; Lavrakas, P. J.
- Stochastic properties of the Internet sample; 2009; Getka-Wilczynska, E.
- Continuous Measurement of Musically-Induced Emotion: A Web Experiment ; 2009; Egermann, H., Nagel, F., Altenmueller, E., Kopiez, R.
- E-epidemiology : Adapting epidemiological methods for the 21st century; 2009; Bexelius, C.
- Web based survey: an emerging tool; 2009; Srivenkataramana, T., Saisree, M.
- The Use of Online Methodologies in Data Collection for Gambling and Gaming Addictions; 2009; Griffiths, M. D.
- Questasy: Online Survey Data Dissemination Using DDI 3; 2009; de Bruijne, M., Amin, A.
- Methodeneffekte von Web-Befragungen: Soziale Erwünschtheit vs. Soziale Entkontextualisierung; 2009; Taddicken, M.