Web Survey Bibliography
Traditionally, business data for official statistics have been collected with paper questionnaires in self administrative surveys. Nowadays the paper questionnaire is more and more replaced by web questionnaires. A variety of strategies can be followed to introduce the web in business surveys. In Norway in 2004, and recently in Denmark, it has been decided that all business surveys should be transformed to the web quickly. In the Netherlands an effort has been made to develop a well-designed web questionnaire: the Structural Business Survey questionnaire was fully designed and pre-tested in a two-year period. The result was supposed to serve as an example for all other surveys. A driving force behind this development is a common interest by the surveyors and those who are surveyed to reduce the manpower, and hence the costs of business surveys (including response burden).
But neither these ambitions nor quality improvements come automatically with technological innovations. At international conferences, workshops and meetings, we find that many methodologists are struggling with the implementation of these technologies. In February 2010, methodologist from 8 European countries met in Copenhagen to discuss how common EU-regulated surveys best can be transferred from paper to web (both for business and social surveys; the focus was on business surveys). The idea for this meeting was born when data collection methodologists from Statistics Denmark visited Statistics Netherlands in May 2009 to discuss web questionnaire designs. The initiative to organise this meeting was taken at the 2009 ISM Workshop in Bergamo. In follow-up to the Copenhagen meeting, this topic was also at the agenda of the Eurostat Working Group of Statistical Quality in June 2010. Here it was decided to discuss the need for an action plan and concrete projects with the Directors of Methodology.
This 2011 ISM presentation is a follow-up of the Copenhagen initiative, and is meant to report back to the participants what has been done. In the presentation we will give an overview of the issues that have been discussed, and relate those to non-sampling errors like non-response and measurement issues, as well as response burden. We would like to discuss with the audience how the Copenhagen initiative and the issues raised best could be followed up.
Issues that have been discussed (and which have relations to other presentations in the Workshop) are:
– An issue that is discussed over and over again is how to get sampled units pick-up the web questionnaire: What strategies should be used to increase the take-up rate? Should a paper questionnaire still be available, and presented?
– Where are we when it comes to guidelines in how to design web questionnaires? One much discussed issue under this headline is how similar or different web and paper questionnaires in a mixed mode data collection design should be. When respondents use a web questionnaire, they expect it to have some intelligence. What do respondents expect and what guidelines can be given to make the questionnaire respondent friendly? Issues here are e.g. the use of matrix questions and edit checks that help to get good data quality but may also result in aborting the completion of the questionnaire. Another issue is the use of historic data in the questionnaire (comparable to dependent interviewing).
– Talking about mixed-mode designs: How to deal with mode effects?
– Technology issues include e.g. how to deal with the variety of software browsers?
– How to implement web questionnaires? When moving to the web, Statistics Netherlands on the one side, and Statistics Norway and Statistics Denmark on the other, adopted different approaches (as discussed above). What did we learn from these two approaches?
– Once a questionnaire has been developed, the issue is: How do new methods affect pre-tests and the ability to monitor the response process?
During the development of web questionnaires traditional cognitive interviewing and the techniques of usability studies can be combined, e.g. by using paradata and eye-tracking during individual tests. Computerized questionnaires also opens the possibility to monitor the response process in a detailed way while conducting the survey (using paradata), both at the level of overall response rates as well at the level of individual respondents (using audit trails).
In our presentation we will focus in some more detail on web pick-up issues and response burden issues.
Issues that have not yet been addressed, but which are important and can be discussed at the workshop, are:
– How to organising the data collection and logistics for web and mixed-mode surveys?
– What software should be used: develop ones own software or use software that is available in the market?
– How to organise research, collaborate with universities, and bring in the literature?
Workshop Homepage (abstract) / (presentation)
Web survey bibliography (439)
- Answering Without Reading: IMCs and Strong Satisficing in Online Surveys; 2017; Anduiza, E.; Galais, C.
- Ideal and maximum length for a web survey; 2017; Revilla, M.; Ochoa, C.
- Web Survey Gamification - Increasing Data Quality in Web Surveys by Using Game Design Elements; 2017; Schacht, S.; Keusch, F.; Bergmann, N.; Morana, S.
- Effects of sampling procedure on data quality in a web survey; 2017; Rimac, I.; Ogresta, J.
- Comparability of web and telephone surveys for the measurement of subjective well-being; 2017; Sarracino, F.; Riillo, C. F. A.; Mikucka, M.
- Fieldwork monitoring and managing with time-related paradata; 2017; Vandenplas, C.
- Interviewer Gender and Survey Responses: The Effects of Humanizing Cues Variations; 2017; Jablonski, W.; Krzewinska, A.; Grzeszkiewicz-Radulska, K.
- Millennials and emojis in Spain and Mexico.; 2017; Bosch Jover, O.; Revilla, M.
- Nonresponses as context-sensitive response behaviour of participants in online-surveys and their relevance...; 2017; Wetzlehuetter, D.
- Humanizing Cues in Internet Surveys: Investigating Respondent Cognitive Processes; 2017; Jablonski, W.; Grzeszkiewicz-Radulska, K.; Krzewinska, A.
- Pushing to web in the ISSP; 2017; Jonsdottir, G. A.; Dofradottir, A. G.; Einarsson, H. B.
- Rates, Delays, and Completeness of General Practitioners’ Responses to a Postal Versus Web-Based...; 2017; Sebo, P.; Maisonneuve, H.; Cerutti, B.; Pascal Fournier, J.; Haller, D. M.
- Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and...; 2017; Anderssen, N.; Malterud, K.
- Utjecaj vizualne orientacije skale za odgovaranje i broja stranica web-upitnika na rezultate ispitivanja...; 2017; Malikovic, M.; Svegar, D.; Somodzi, S.
- How to Design a Web Survey Using Spring Boot With MYSQL: a Romanien Network Case Study; 2017; Bucea-Manea-Tonis, Ro.; Bucea-Manea-Tonis, Ra.
- Analyzing Survey Characteristics, Participation, and Evaluation Across 186 Surveys in an Online Opt-...; 2017; Revilla, M.
- Comparative analysis of a mobile device and paper as effective survey tools; 2017; Kim, K. J.; Bae, S.; Park, E.
- Enhancing survey participation: Facebook advertisements for recruitment in educational research; 2017; Forgasz, H.; Tan, H.; Leder, G.; McLeod, A.
- Virtual reality meets sensory research; 2017; Depoortere, L.
- PC, phone or tablet? Use, preference and completion rates for web surveys ; 2017; Brosnan, K.; Gruen, B.; Dolnicar, S.
- “Better do not touch” and other superstitions concerning melanoma: the cross-sectional web...; 2016; Gajda, M.; Kamiñska-Winciorek, G.; Wydmañski, J.; Tukiendorf, A.
- Making use of Internet interactivity to propose a dynamic presentation of web questionnaires; 2016; Revilla, M.; Ochoa, C.; Turbina, A.
- A streamlined approach to online linguistic surveys; 2016; Erlewine, M. Y.; Kotek, H.
- Du kommst hier nicht rein: Türsteherfragen identifizieren nachlässige Teilnehmer in Online-Umfragen; 2016; Merkle, B.; Kaczmirek, L.; Hellwig, O.
- Smartphones vs PCs: Does the Device Affect the Web Survey Experience and the Measurement Error for...; 2016; Toninelli, D.; Revilla, M.
- Estimation and Adjustment of Self-Selection Bias in Volunteer Panel Web Surveys ; 2016; Niu, Ch.
- Sensitive Questions in Online Surveys: An Experimental Evaluation of Different Implementations of the...; 2016; Hoglinger, M.; Jann, B.; Diekmann, A.
- Design and test of a web-survey for collecting observer’s ratings on dairy goats’ behavioural...; 2016; Vieira, A.; Oliveira, M. D.; Nunes, T.; Stilwell, G.
- Can Student Populations in Developing Countries Be Reached by Online Surveys? The Case of the National...; 2016; Langer, A., Meuleman, B., Oshodi, A.-G. T., Schroyens, M.
- Feature phones no barrier to conducting an effective conjoint study ; 2016; de Rooij, R.; Dossin, R.
- Patient preference: a comparison of electronic patient-completed questionnaires with paper among cancer...; 2016; Martin, P.; Brown, M.C.; Espin‐Garcia, O.; Cuffe, S.; Pringle, D.; Mahler, M.; Villeneuve, J.;...
- Does the Use of Smartphones to Participate in Web Surveys Affect the Survey Experience when Sensitive...; 2016; Toninelli, D.; Revilla, M.
- Device use in web surveys: The effect of differential incentives; 2016; Mavletova, A. M.; Couper, M. P.
- Device Effects - How different screen sizes affect answers in online surveys; 2016; Fisher, B.; Bernet, F.
- Do Initial Respondents Differ From Callback Respondents? Lessons From a Mobile CATI Survey; 2016; Vicente, P.; Marques, C.
- The use of online social networks as a promotional tool for self-administered internet surveys; 2016; de Rada, V. D.; Arino, L. V. C; Blasco, M. G
- Assessing the Effects and Effectiveness of Attention-check Questions in Web Surveys: Evidence From a...; 2016; Vannette, D.
- Mode Effects on Subjective Well-being Research: Do they Affect Regression Coefficients? ; 2016; Sanchez Tome, R.; Roberts, C.; Staehli, M. E.; Joye, D.
- Evaluating a Modular Design Approach to Collecting Survey Data Using Text Messages ; 2016; West, B. T.; Ghimire, D.; Axinn, W.
- Reaching the Mobile Generation: Reducing Web Survey Non-response through SMS Reminders ; 2016; Kanitkar, K. N.; Marlar, J.
- Safety First: Ensuring the Anonymity and Privacy of Iranian Panellists’ While Creating Iran...; 2016; Farmanesh, A.; Mohseni, E.
- Non-Observation Bias in an Address-Register-Based CATI/CAPI Mixed Mode Survey; 2016; Lipps, O.
- Web surveys for offline rural communities ; 2016; Gichohi, B. W.
- On-line life history calendar and sensitive topics: A pilot study; 2016; Morselli, D.; Berchtold, A.; Granell, J.-C. S.; Berchtold, And.
- An experiment comparing grids and item-by-item formats in web surveys completed through PCs and smartphones...; 2016; Revilla, M.; Toninelli, D.; Ochoa, C.
- Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes; 2016; Chien, T. S.; Lin, W.S.
- Pre-Survey Text Messages (SMS) Improve Participation Rate in an Australian Mobile Telephone Survey:...; 2016; Dal Grande, E.; Chittleborough, C. R.; Campostrini, S.; Dollard, M.; Taylor, A. W.
- Short and Sweet? Length and Informative Content of Open-Ended Responses Using SMS as a Research Mode; 2016; Walsh, E.; Brinker, J. K.
- Mixing modes of data collection in Swiss social surveys: Methodological report of the LIVES-FORS mixed...; 2016; Roberts, C.; Joye, D.; Staehli, M. E.
- What is the gain in a probability-based online panel to provide Internet access to sampling units that...; 2016; Revilla, M.; Cornilleau, A.; Cousteaux, A-S.; Legleye, S; de Pedraza, P.