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 - Education (166)
- Educational use of smart phone technology: A survey of mobile phone application use by undergraduate...; 2013; Bomhold, C. R.
- Media Commons: the process and value of centralizing services; 2013; Mestre, L. S.
- Developing and completing a library mobile technology survey to create a user-centered mobile presence...; 2013; A., Bonadie-Joseph, I., Cain, J.Becker, D. A.
- Dialogistic Presence on Community College Websites in Nine Megastates; 2013; Shadinger, D.
- Online Case Studies: HESI Exit Exam Scores and NCLEX-RN Outcomes; 2013; Young, A., Rose, G., Willson, P.
- The Challenges and Benefits of Distance Mentoring; 2013; Lach, H. W. et al
- Hail to Thee, Our Alma Mater: Alumni Role Identity and the Relationship to Institutional Support Behaviors...; 2013; McDearmon, J. T.
- Adjusting for bias in a mixed-mode CAWI survey on University students ; 2013; Clerici, R., Giraldo, A.
- An imputation approach for analyzing mixed-mode surveys; 2013; Kim, J. K., Park, S., Kim, S. Y.
- A walking exercise on a tightrope: trying to balance coverage, probabilistic sampling and the costs...; 2013; Poggio, T.
- Validity of Measuring Educational Attainment - Education and Value Orientation in the European Values...; 2013; Ortmanns, V.
- Educational attainment in cross-national surveys: instrument design, data collection, harmonisation...; 2013; Schneider, S.
- Eliminate Item Non-Response: The Effect of Forcing Respondents to Answer in Web Surveys; 2013; Leach, L. M.
- Building a History: Collecting Comprehensive Employment Data in a Web-Based, Multi-Mode Survey; 2013; Cominole, M., Bennett, C., Caves, L.
- Use of Drag-and-Drop Rating Scales in Web Surveys and Its Effect on Survey Reports and Data Quality; 2013; Kunz, T.
- The Impact on Web Survey Drop-Out Rates of Page Number Progress Indicators Used Throughout, Near the...; 2013; Walston, J. T., Cunningham, B., Medway, R.
- Utilizing the Web in a Multi-Mode Survey; 2013; Venkataraman, L.
- On the Use of Latent Variable Models to Detect Differences in the Interpretation of Vague Quantifiers...; 2013; Griffin, J.
- Using interactive feedback to enhance response quality in Web surveys. The case of open-ended questions...; 2013; Emde, M., Fuchs, M.
- Reducing Response Order Effects in Check-All-That-Apply Questions by Use of Dynamic Tooltip Instructions...; 2013; Kunz, T., Fuchs, M.
- Ethics, privacy and data security in web-based course evaluation; 2013; Salaschek, M., Meese, C., Thielsch, M.
- Speed (necessarily) doesn’t kill: A new way to detect survey satisficing; 2012; Garland, P. et al.
- Social research in online context: methodological reflections on web surveys from a case study; 2012; Pandolfini, V.
- What can be said about quality in the Central Population Register based on a self-completion survey...; 2012; Falnes-Dalheim, E., Pedersen, H. E.
- Boosting Web pick-up Rates by referring to Compliance Principles ; 2012; Falnes-Dalheim, E., Haraldsen, G., Sundvoll, A.
- Ebook readings jumps, print book reading declines; 2012; Rainie, L., Duggan, M.
- Prenotification, Incentives, and Survey Modality: An Experimental Test of Methods to Increase Survey...; 2012; Tepper, J. R., Jacob, B.
- Does survey experience affect respondents’ reported level of satisfaction?; 2012; Schultz Christensen, A., Ladenburg, J.
- Nonresponse and Online Student Evaluations of Teaching: Understanding the Inﬂuence of Salience...; 2012; Adams, M. J. D., Umbach, P. D.
- What are the Odds? Lotteries versus Cash Incentives. Response Rates, Cost and Data Quality for a Web...; 2012; Stevenson, J., Dykema, J., Klein, L., Cyffka, K., Goldrick-Rab, S.
- Exploring the impact of animation-based questionnaire on conducting a web-based educational survey and...; 2012; Chien, Y.-T., Chang, C.-Y.
- Effects of number of response options in web surveys: The role of verbal labels; 2012; Thorsdottir, F., Fuchs, M., Jonsdottir, J.
- Asking Sensitive Questions in Online Surveys: An Experimental Comparison of the Randomized Response...; 2012; Diekmann, A., Hoeglinger, M., Jann, B.
- Use of incentives and web-based administration for surveying student alcohol and substance use in an...; 2012; Onoye, J. M., Goebert, D., Nishimura, S.
- Knowledge extraction from a large on-line survey: a case study for a higher education corporate marketing...; 2011; Fernández-Aguirre, K. et al.
- Online Appendix for “Surveying the General Public Over the Internet Using Address-Based Sampling...; 2011; Dillman, D. A., Messer, B. L.
- Toward wiser public judgment; 2011; Yankelovich, D., Friedman, W.
- GRE® program announces big benefits and big savings for GRE® test takers worldwide; 2011
- A course is a course is a course: Factor invariance in student evaluation of online, blended and face...; 2011; Dziuban, C. D., Moskal, P.
- A National Profile of Teacher Education Faculty: The Construction of an Online Survey; 2011; Graber, K. C., Erwin, H., Woods, A. M., Rhoades, J., Zhu, W.
- How do Respondents Perceive a Questionnaire? The Contribution of Open-ended Questions; 2011; Markou, E., Garnier, B.
- In the Face of Declining Budgets: The Student Experience at Washington State University ; 2011; Allen, T., Dillman, D. A., Garza, B., Millar, M. M.
- Examining Response Rates and Patterns in a Multimode Experiment: A Study of Department Chairs/Heads...; 2011; Foster, K. N., Gaughan, M.
- Exploring Visual Design Effects In Web Survey Questions. An Experimental Study Using Animated Answer...; 2011; Emde, M., Fuchs, M.
- Display Matters: A Test of Visual Display Options in a Web-Based Survey.; 2011; Romano Bergstrom, J. C., Chen, J. M., Gilbert, T. R., Jans, M.
- Minimizing Item Nonresponse in a School-based Web Survey of High School Students.; 2011; Burns, L., Dever, J.
- Which Technologies Do Respondents Use in Online Surveys – An International Comparison?; 2011; Kaczmirek, L., Behr, D., Bandilla, W.
- Mode Effect Analysis - Paper Respondents vs. Web Respondents in the 2004-05 Teacher Follow-up Survey; 2011; Aritomi, T., Hill, J.
- An experiment to test the feasibility and quality of a web-based questionnaire of teachers; 2011; Tepper, J. R.
- Sponsor Prominence and Responses Patterns to an Online Survey; 2011; Boulianne, J. S., Klofstad, C. A., Basson, D.Boulianne, S. J.