Web Survey Bibliography
Relevance and research question. Social scientist need quick access to internationally comparable data which can be done using web surveys. A good example is the Wage Indicator (WI): a continuous voluntary web survey with an homogeneous questionnaire in 65 countries.
The poster is used to show WEBDATANET members the possibilities offered by the WI for both methodological and content research. Firstly, it shows research conducted using Wage Indicator data. Secondly, it uses as an example of content research a study of how work characteristics, labour situation and labour preferences determine life satisfaction of an on-line sample of Spanish workers. The paper obtains useful methodological conclusions and open new opportunities for Life Satisfaction research.
Methods and Data. The paper uses a sample obtained in the Wage Indicator. Online voluntary web surveys like the Wage Indicator are non-probability surveys and results obtained from their data cannot, in principle, be generalized to the whole population of interest (the labor force). There is a three-step selection process: internet access, interest and decision to take up the web-survey.
The poster shows methodological approaches implemented to increase WI data quality (bias, weighting techniques, marketing and targeting measures to address underrepresented groups and paradata analyses). Finally, it uses probit regressions to estimate nested models of Life Satisfaction Determinants.
Result. Obtains useful conclusions for web survey methodology and shows the huge possibilities of the Wage Indicator for methodological research. Regarding life satisfaction research, results obtained in simple models do not differ from literature. New conclusion are obtained regarding life satisfaction explanatory variables and new research lines are open.
Added value. It has implications for several research lines within social sciences. Firstly, workers' happiness determinants and the future possibility of making global, real-time comparisons. Secondly, although conclusions are obtained from this online non probabilistic survey, they are in line with theory and literature. Thirdly, happiness determinants of these self selected workers are important per se (online participation, is becoming more and more important) although conclusion may not be applicable to the whole population.
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Web Survey Bibliography - General Online Research Conference (GOR) 2012 (40)
- Is „chapterisation“ a viable alternative to traditional progress indicators ?; 2012; Spicer, R., Dowling, Z.
- Exploring New Pathways to Survey Recruitment; 2012; Bilgram, V., Stadler, D.Jawecki, G.
- Understanding selection bias in a worldwide, volunteer web-survey; 2012; Tijdens, K., Steinmetz, S.
- Does Mode Matter? Initial Evidence from the German Longitudinal Election Study (GLES); 2012; Blumenstiel, J. E., Rossmann, J.
- The Representativity of Web Surveys of the General Population compared to Traditional Modes and Mixed...; 2012; Klausch, L. T., Schouten, B., Hox, J.
- Global market of web survey software: Status, trends and issues; 2012; Vehovar, V., Slavec, A., Berzelak, N., Lozar Manfreda, K.
- Best of both worlds – The INSA study 50plus; 2012; Geissler, H., Blome, C.
- The “MediaLiveTracker” – A New Online-Tool for Real-Time-Response-Measurement; 2012; Kercher, J., Bachl, M., Voegele, C., Vohle, F.
- Surveytainment 2.0: Why investing 10 more minutes more in constructing your questionnaire is worth considering...; 2012; Muehle, A., Tress, F., Schmidt, S., Winkler, T.
- Paradata insight into survey response behaviour: An analysis of a set of hosted web surveys; 2012; Lozar Manfreda, K., Berzelak, N., Vehovar, V.
- Market research online community (MROC) versus focus group; 2012; Zuber, M.
- Data quality in MAWI and CAWI; 2012; Mavletova, A. M., Blasius, J.
- Can mobile-web surveys substitute classic web-surveys? Results from an exploratory, comparative method...; 2012; Bohn, A., Doering, N., Maxl, E.
- Time use data collection using Smartphones: Results of a pilot study among experienced and inexperienced...; 2012; Scherpenzeel, A., Sonck, N., Fernee, H., Morren, M.
- Scrutinizing Dynamics – Rolling panel waves in theory and practice; 2012; Faas, T., Blumenberg, J. N.
- The German Internet Panel: Design of a Probability-Based Online Survey; 2012; Blom, A. G., Gathmann, C., Holthausen, A., Riepe, C.
- The price we have to pay: Incentive experiments in the recruitment process for a probability-based online...; 2012; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Effects of number of response options in web surveys: The role of verbal labels; 2012; Thorsdottir, F., Fuchs, M., Jonsdottir, J.
- Little experience with technology as a cause of nonresponse in online surveys; 2012; Struminskaya, B., Schaurer, I., Kaczmirek, L., Bandilla, W.
- Comparing Item-Non-Response and Open Questions within different Web Survey Types; 2012; Silber, H., Lischewski, J., Leibold, J.
- Automatic Forwarding on Web Surveys – Some Outlines and Remarks; 2012; Selkaelae, A.
- Thinking, Planning & Operationalizing Empirical Mixed Methods Research Design; 2012; Ruhi, U.
- Online research for general populations: whether and how results could be extrapolated?; 2012; Póltorak, M., Kowalski, J.
- WAGE INDICATOR, web surveys methodology, WEBDATANET and Life satisfaction determinants as an example...; 2012; de Pedraza, P.
- Continuous large-scale volunteer web-surveys: The experience of Lohnspiegel and WageIndicator; 2012; Oez, F.
- Is Pretesting Established Among Online Survey Tool Users?; 2012
- An Evaluation of Two Non-Reactive Web Questionnaire Pretesting Methods; 2012; Lenzner, T.
- Recommendations for implementing online surveys and simple experiments in social and behavioural research...; 2012; Hewson, C. M.
- High potential for mobile Web surveys: Findings from a survey representative for German Internet users...; 2012; Funke, F., Wachenfeld, A.
- Better low-tech than sorry: How technophile questionnaires may affect psychological representativeness...; 2012; Funke, F., Reips, U. -D.
- A taxonomy of paradata for web surveys and computer assisted self interviewing (Casi); 2012; Callegaro, M.
- Can Social Media Research replace traditional research methods?; 2012; Faber, T., Einhorn, M., Hofmann, O., Loeffler, M.
- Bad Boy Matrix Question – Whatcha gonna do when they come for you?; 2012; Tress, F.
- Matrix vs. Single Question Formats in Web Surveys: Results from a large scale experiment; 2012; Klausch, L. T., de Leeuw, E. D., Hox, J., de Jongh, A., Roberts , A.
- Effects of Static versus Dynamic Formatting Instructions for Open-Ended Numerical Questions in Web Surveys...; 2012; Kunz, T., Fuchs, M.
- FamilyVote – Conducting online surveys with children and families; 2012; Geissler, H., Peeters, H.
- New Insights about market research with an iPad-panel; 2012; Manouchehri, A., Rieber, D., Moughrabi, C.
- The influence of social desirability on data quality in face-to-face and web surveys; 2012; Keusch, F.
- Reducing the Threat of Sensitive Questions in Online Surveys; 2012; Couper, M. P.
- Asking Sensitive Questions in Online Surveys: An Experimental Comparison of the Randomized Response...; 2012; Diekmann, A., Hoeglinger, M., Jann, B.