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 (96)
- Examining Factors Impacting Online Survey Response Ratesin Educational Research: Perceptions of Graduate...; 2017; Saleh, A.; Bista, K.
- Using Mixed Methods to Research the Professional Development Needs of English Teacher Educators in PCET...; 2017; Eliahoo, R.
- Why Do Web Surveys Take Longer on Smartphones?; 2016; Couper, M. P.; J. J.Peterson, G. J.
- The impact of visual design and response formats on data quality in a web survey of MOOC students; 2016; Maloshonok, N.; Terentev, E.
- Reminder Effect and Data Usability on Web Questionnaire Survey for University Students; 2016; Oishi, T.; Mori, M.; Takata, E.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- Mode System Effects in an Online Panel Study: Comparing a Probability-based Online Panel with two Face...; 2015; Struminskaya, B.; De Leeuw, E. D.; Kaczmirek, L.
- Response Effects of Prenotification, Prepaid Cash, Prepaid Vouchers, and Postpaid Vouchers: An Experimental...; 2015; van Veen, F.; Goeritz, A.; Sattler, S.
- Calendar Instruments in Retrospective Web Surveys; 2015; Glasner, T.; van der Vaart, W.; Dijkstra, W.
- Cognitive Testing of Survey Translations: Does Respondent Language Proficiency Matter?; 2015; Schoua-Glusberg, A.; Park, H.; Meyer, M.; Goerman, P. L.; Sha, M.
- Nannies' Knowledge, Attitude, and Management of Food Allergies of Children: An Online Survey; 2015; Greiwe, J. C., Pazheri, F., Schroer, B.
- Is Vague Valid? The Comparative Predictive Validity of Vague Quantifiers and Numeric Response Options...; 2014; Al Baghal, T.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- The New Majority: How Will Latino Youth Succeed in the Context of Low Educational Expectations and Assumptions...; 2014; Gomez, C. A., Villasenor, E., Mann, E. S., Mandic, C. G., Valladares, E. S., Mercado, V., et al.
- Testing if Healthy Perfectionism Enhances Academic Achievement in Australian Secondary School Students...; 2014; Thorpe, E., Nettelbeck, T.
- Assessing Within-Household Selection Methods in Household Mail Surveys; 2014; Olson, K., Stange, M., Smyth, J. D.
- Web-based Emergency Department Patient Satisfaction Surveys May Introduce Potential for Bias; 2014; Broadwater-Hollifield, C., Fair, J., Podolsky, S., et al.
- Undisclosed Privacy: The Effect of Privacy Rights Design on Response Rates; 2014; Haer, R., Meidert, N.
- Dropout Rates and Response Times of an Occupation Search Tree in a Web Survey; 2014; Tijdens, K. G.
- Students First Choice – the influence of mobile mode on results; 2014; Maxl, E.
- The relationships among nurses' job characteristics and attitudes toward web-based continuing learning...; 2013; Chiu, Y.-L., Tsai, C.-C., Fan Chiang, C.-Y.
- Evaluating Arts-Based Cancer Education Using an Internet Survey among Alaska Community Health Workers...; 2013; Cueva, M., Cueva, K., Dignan, M., Lanier, A., Kuhnley, R.
- Education in the Responsible Conduct of Research in Psychology: Methods and Scope; 2013; DiLorenzo, T. A., Becker-Fiegeles, J., Gibelman, M.
- Intra-individual variation of extreme response style in mixed-mode panel studies; 2013; Aichholzer, J.
- Knowledge of palliative care: An online survey; 2013; Al Qadire, M.
- Identifying the Research Information Needs of the Racing and Breeding Industries in New Zealand: Results...; 2013; Bolwell, C., Gray, Da., Reid, Ja.
- 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.
- Dialogistic Presence on Community College Websites in Nine Megastates; 2013; Shadinger, D.
- 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, Se., 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.
- Speed (necessarily) doesn't kill: A new way to detect survey satisficing; 2013; Garland, P., Chen, K., Epstein, J., Suh, A.
- 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.
- Medical students’ exposure to Urology in the undergraduate curriculum, a web based survey; 2012; Derbyshire, L. F., O’Flynn, K. J.
- 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.