Web Survey Bibliography
AGS covers many topics, including student satisfaction for his/her university experience. Using the complete AGS data set, we calculate two satisfaction factors from a set of satisfaction questions. This is done using the factor analysis (via principal components) method. First factor may be interpreted as a “general satisfaction” index, the second is a contrast between software (teaching, exams, graduation organization) and hardware (classrooms, libraries, cafeterias) evaluation. Factors are not directly observable, but we treat them as they are, for simplicity’s sake. They are continous, approximately normal variables.
Is the non-response process MAR (“Missing at Random”)? To say this we regress the response indicators on all the administrative variables (including sex, age, number of years needed for graduating, graduation mark, high school final mark, faculty, type of course) and the two satisfaction factors. There is a weak evidence that the respondents and non-respondents have different distribution of factor scores.
If we have to take any inference on the non-respondents we must assume that they are related to respondents in some way. The way is often the assumption that they are related through the auxiliary information, that is through variables known for both respondent and non-respondents.
We bootstrap the population to evaluate the ability of the calibration correction to improve the estimators of non-response. We try first to use the quasi-randomization approach to estimate propensity, then use these weights as a basis for calibration. Several combination for calibration variables are used. Faculty is always included as they are main subdivisions of the University and estimates by faculty are routinely required.
The paper analyzes reweighting adjustments for non-response in surveys carrying out a bootstrap evaluation of non-response adjusted estimators. In our study we consider a population made of students from the Bergamo University graduating in a specific period of time.
This population has been surveyed twice (web mode in both cases), before and after graduation. The ante-graduation survey (from now on, AGS) is a compulsory survey, the post-graduation survey (PGS) is not compulsory, therefore there was 56% non-response rate. Administrative (archive) data available for all the students. We apply the non-response process of the PGS in the analysis of AGS data. In this way, we have a controlled situation in which all survey variables, for both respondents and non-respondents are known. We avoid artificial assumptions on the non-response process.
Web Survey Bibliography - Other (451)
- Do we hear different voices?: Investigating the differences between internet and non-internet users...; 2009; Zhang, C., Callegaro, M., Thomas, M., DiSogra, C.
- The Effect of Email Invitation Customization on Survey Completion Rates in an Internet Panel: A Meta...; 2009; Callegaro, M., Kruse, Y., Thomas, M., Nukulkij, P.
- Panel Conditioning and Attrition in the AP-Yahoo! News Election Panel Study; 2009; Kruse, Y., Callegaro, M., Dennis, J. M., DiSogra, C., Subias, S., Lawrence, M., Tompson, T.
- Recruiting Probability-Based Web Panel Members Using an Address-Based Sample Frame: Results from a Pilot...; 2009; DiSogra, C., Callegaro, M., Hendarwan, E.
- Web Panel Studies of the 2008 Election; 2009; Dennis, J. M., Tompson, T.
- Comparison Study of Early Adopter Attitudes and Online Behavior in Probability and Non-Probability Web...; 2009; Dennis, J. M., Osborn, L., Semans, K.
- Summary of KnowledgePanel® Design; 2009; Dennis, J. M.
- Presentation of a Single Item versus a Grid: Effects on the Vitality and Mental Health Scales of the...; 2009; Callegaro, M., Shand-Lubbers, J., Dennis, J. M.
- Survey Research in Virtual Worlds: Second Life R as a Research Platform; 2009; Hill, C., Dean, E.
- Elderly in an Internet panel, the quality of the data; 2009; Vis, C.
- Computer-Assisted Audio Recording (CARI): Repurposing a Tool for Evaluating Comparative Instrument Design...; 2009; Edwards, B., Hicks, W., Tourangeau, K., Harris-Kojetin, L., Moss, A.
- Do online translated questionnaires result in higher response rates for patient surveys?; 2009; Boyd, J., Davis, A.
- A comparison of two mixed mode designs: cati-capi and web-cati-capi; 2009; Beukenhorst, D., Wetzels, W.
- Comparison between Liss panel (web) and ESS data (face to face); 2009; Revilla, M., Saris, W. E.
- Mobile Phone Surveys in Germany – Response rates and response behaviour; 2009; Hader, S., Schneiderat, G.
- Interviewer voice characteristics and productivity in telephone surveys; 2009; Best, H., Bauer, G., Steinkopf, L.
- Standardized recall aids for online life course surveys; 2009; Glasner, T.
- The impact of forgiving wording and question context on social desirability bias in sensitive surveys...; 2009; Naher, A.- F., Krumpal, I.
- Interactive feedback can improve accuracy of responses in web surveys; 2009; Conrad, F. G., Couper, M. P., Tourangeau, R., Galesic, M.
- Effectiveness of incentives in mixed-mode systems: An evaluation of errors & costs; 2009; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- The influence of the field time on data quality in list-based Web surveys; 2009; Goeritz, A., Stieger, S.
- Twisting Rating Scales: Horizontal versus Vertical Visual Analogue Scales versus Categorical Scales...; 2009; Funke, F., Reips, U. -D.
- Individual Follow-up of the Target Population: the Plural Strategies of a Web Survey; 2009; Markou, E., de Cledat, B., Razafindratsima, N., Laurent, R., Issenhuth, P.
- How to cover the general public by Internet interviewing; 2009; Das, M.
- Telephone Survey and political behaviour estimates in 22 European countries: Evaluating the need for...; 2009; Hufken, V.
- What to do if Probability Sampling is Impossible in a Web Survey?; 2009; Markou, E., Razafindratsima, N., de Cledat, B., Issenhuth, P., Laurent, R.
- Paradata and Blaise: A Review of Recent Applications and Research; 2009; O’Reilly, J.
- If You Provide It, Will They Read It? Response Time Effects in a Choice Experiment; 2009; Vista, A. B., Rosenberger, R. S., Collins, A. R.
- Pictures in Web Surveys; 2009; Toepoel, V., Couper, M. P.
- National readership surveys: Moving from probability face-to-face surveys to Internet panels; 2009; Vehovar, V., Slavec, A., Petric, I., Sargac, M.
- An experiment on the effects of non-response reweighting on estimators' precision in a web survey; 2009; Fabrizi, E., Biffignandi, S., Toninelli, D.
- Dynamic feedback in open-ended questions: Experiments on the visual design language of Web surveys; 2009; Fuchs, M.
- Effects of monetary incentives on participation in a two-wave online survey; 2009; Bandilla, W., Haas, I.
- Response Order and Response Distributions: The Format of the Response Options in a Web Survey; 2009; Tourangeau, R., Conrad, F. G., Couper, M. P., Balter, O.
- Anticipated estimation from a panel Web survey: the case of the presence of tourists in the Province...; 2009; Scaffai, G., Pratesi, M.
- Is this e-mail relevant? An eyetracking experiment on how potential respondents read e-mail invitations...; 2009; Kaczmirek, L., Faa▀, T., Galesic, M.
- Comparing the results of Web surveys on volunteer versus probabilistically selected panels of participants...; 2009; Galesic, M.
- Yes, VASs can! Increasing the accuracy of survey measurements with computerized visual analogue scales...; 2009; Funke, F., Reips, U. -D.
- Using Mail Contact to Sample and Encourage Submission of Questionnaire Answers Over the Internet; 2009; Dillman, D. A., Messer, B. L., Millar, M. M.
- Improving the Design of Complex Matrix Questions; 2009; Couper, M. P., Tourangeau, R., Conrad, F. G.
- Interactive aspects of web surveys; 2009; Conrad, F. G.
- Donations to charity as incentives in online panels; 2009; Goeritz, A.; Hox, J.
- Pros and Cons of Internet Surveys Compared to Traditional Survey Methods; 2009; Benjamin, G. D.
- Visual Design Effects on Respondents’ Behavior in Web-Surveys; 2009; Grein÷cker, A.
- Separating Selection Bias and Non-coverage in Internet Panels using Propensity Matching; 2009; Lensvelt-Mulders, G. J., Lugtig, P. J., Hubregtse, M.
- Applying theory to structure respondents' stated motivations for participating in web surveys; 2009; Han, V., Albaum, G., Wiley, J. B., Thirkell, P.
- Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market...; 2009; Bøye Olsen, S.
- Social Attitude Differences between Internet Users and Non-users; 2009; Robinson, J. P., Martin, S. P.
- Online Election Surveys: Keeping the Voters Honest? ; 2009; Gibson, R., McAllister, I.
- Qualitative Research via Internet: Asynchronous Online Discussions and the Use of WebCT; 2009; Giatsi Clausen, M., Nicol, M., Gill, J.