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 - Noncoverage & sampling (1270)
- Impacts of Unit Nonresponse in a Recontact Study of Youth; 2013; Mendelson, J., Viera Jr., L.
- Changing to a Mixed-Mode Design: The Role of Mode in Respondents’ Decisions About Participation...; 2013; Collins, D., Mitchell, M., Toomes, M.
- Comparing the Effects of Mode Design on Response Rate, Representativeness, and Cost Per Complete in...; 2013; Tully, R.
- Internet Response for the Decennial Census – 2012 National Census Test; 2013; Reiser, C.
- The Effects of Errors in Paradata on Weighting Class Adjustments: A Simulation Study; 2013; West, B. T.
- Using Paradata to Study Response to Within-Survey Requests; 2013; Sakshaug, J. W.
- Paradata for Coverage Research ; 2013; Eckman, S.
- Improving Surveys with Paradata: Analytic Uses of Process Information; 2013; Kreuter, F.
- Ten questions to ask your online survey provider; 2013; Williams, D.
- Practical tools for designing and weighting survey samples; 2013; Valliant, R. L., Daver, J. A., Kreuter, F.
- Report Of The AAPOR Task Force On Non-probability sampling; 2013; Baker, R. P., Brick, J. M., Bates, N., Battaglia, M. P., Couper, M. P., Dever, J. A., Gile, K. J., Tourangeau...
- A nationwide web-based freight data collection; 2013; Samimi, A., Mohammadian, A., Kawamura, K.
- Measuring Wages Worldwide: Exploring the Potentials and Constraints of Volunteer Web Surveys; 2013; Steinmetz, S., Raess, D., Tijdens, K., de Pedraza, P.
- Sampling, Channels, and Contact Strategies in Internet Survey; 2013; Macrì, E., Tessitore, C.
- Advancing Research Methods with New Technologies; 2013; Sappleton, N.
- An approach to selecting online respondents; 2013; Terhanian, G.
- Designing and conducting business surveys; 2013; Snijkers, G.,Araldsen, G., , Willimack, D. K.Jones, J.
- Modular Survey Design: A Bite Size Proposal; 2013; Kelly, F., Stevens, S., Johnson, A.
- Does Sample Size Still Matter?; 2013; Bakken, D. G., Bond, M.
- Solving the Unintentional Mobile Challenge; 2013; Peterson, G., Mechling, J., LaFrance, J., Ham, G.
- Internet-Based Recruitment to a Depression Prevention Intervention: Lessons From the Mood Memos Study...; 2013; Morgan, A. J., Jorm, A. F., Mackinnon, A. J.
- Examination of the equivalence of self-report survey-based paper-and-pencil and internet data collection...; 2013; Weigold, A., Weigold, I. K., Russell, E. J.
- Technical and methodological meta-information on current practices in online research: A full population...; 2013; Burger, C., Stieger, S.
- Mobile Research Performance: How Mobile Respondents Differ from PC Users Concerning Interview Quality...; 2013; Schmidt, S., Wenzel, O.
- Sampling online communities: using triplets as basis for a (semi-) automated hyperlink web crawler.; 2013; Veny, Y.
- Why are you leaving me?? - Personality predictors of answering drop out in an online-study; 2013; Thielsch, M., Nestler, S., Back, M.
- Research Design as an Influencing Factor for Reliability in Online Market Research; 2013; Wengrzik, J., Theuner, G.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- Influence of mobile devices in online surveys; 2013; Maxl, E., Baumgartner, T.
- GESIS Online Panel Pilot: Results from a Probability-Based Online Access Panel; 2013; Kaczmirek, L., Bandilla, W., Schaurer, I., Struminskaya, B., Weyandt, K.
- Online Survey – Research with children on advertising impact; 2013; Funkenweh, V., Busch, J., Amthor, A. L., Boeer, A., Gaedke, J.
- Metadata on the demographics of online research: Results from a full-range study of available online...; 2013; Burger, C., Stieger, S.
- How the screen-out influence the dropout of a commercial panel; 2013; Bartoli, B.
- Break-off and attrition in the GIP amongst technologically experienced and inexperienced participants...; 2013; Blom, A. G., Bossert, D., Clark, V., Funke, F., Gebhard, F., Holthausen, A., Krieger, U., Wachenfeld...
- Nonresponse and Nonresponse Bias in a Probability-Based Internet Panel; 2013; Blom, A. G., Bossert, D., Funke, F., Gebhard, F., Holthausen, A., Krieger, U.
- Effects of incentive reduction after a series of higher incentive waves in a probability-based online...; 2013; Struminskaya, B., Kaczmirek, L., Schaurer, I., Bandilla, W.
- Mixed-mode including web: Recent developments at Statistics Netherlands; 2013; Luiten, A., Schouten, B.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Experiences from a probability-based Internet panel: Sample, recruitment and participation; 2013; Scherpenzeel, A.
- Participation and engagement in web surveys of the general population: An overview of challenges and...; 2013; Roberts, C.
- Using Web Survey Panels to Estimate Population Characteristics: A Comparison of Alternative Approaches...; 2013; Rivers, D.
- The ONS Beyond 2011 Programme & possible implications for social surveys; 2013; Morris, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- Use of a Social Networking Web Site for Recruiting Canadian Youth for Medical Research; 2013; Chu, J. L., Snider, C. E.
- The smartphone in survey research: experiments for time use data; 2013; Fernee, H., Scherpenzeel, A.
- Understanding and Applying Research Design; 2013; Abbott, M. L., McKinney, J.
- Large-Scale Analysis and Testing; 2013; Cao, M., Zhang, Q.
- Virtual Research Methods; 2013; Hine, C.
- Surveying “difficult-to-sample” backpackers through Facebook? Employing a mixed-mode dual...; 2013; Morris Paris, C.
- Convenient yet not a convenience sample: Jury pools as experimental subject pools; 2013; Murray, G. R., Rugeley, C. R., Mitchell, D.-G., Mondak, J. J.