Web Survey Bibliography
The objective of this Master’s thesis project was to provide comprehensive suggestions that need to be thought over when constructing and distributing web surveys to collect international customer satisfaction information in a B2B environment.
The literature review was conducted on a particular set of topics pertaining to the research question. From the knowledge and insight drawn from the literature review, a framework was constructed. The framework was then tested with three open-ended interviews of qualitative nature.
The four different components linking with the research question are the choice of customer satisfaction survey method, survey template, survey distribution, and survey results. The survey method in itself is linked with the corporate objectives set for the survey process. It defines what the web survey is essentially used for, and what approach the overall template structure will possibly follow. The survey template considerations are linked with the survey method chosen, and provide the actual composition of the survey items. The survey template needs to consist of simple and precise questions, which leave little room for interpretation as well as are easily understandable. The third component in the web survey process, the actual distribution of the survey, offers many benefits to companies using it. The most crucial element in distributing and marketing effectively the survey to recipients is the cover letter. The cover letter needs to be written clearly, with personal touches, and in a short manner when it is sent out. The cover letter is an integral component in distinguishing the survey to the recipient base. Once the survey has been distributed, the results need to be analyzed. Customer satisfaction information needs to be used in ways that recognize its potential. Since the entire process centres on obtaining useable results that can then be analyzed into report form for management. These results should be compiled into a separate database that will help organisations to make quantitative measurements that will help to minimize the effect of personal interpretation. Once the results have been analyzed, the process starts over, adding to continuous process improvement.
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Web Survey Bibliography - Online measurement (845)
- Propensity Score Weighting – Can Personality Adjust for Selectivity?; 2013; Glantz, A., Greszki, R.
- Seducing the respondent – how to optimise invitations in on-site online research?; 2013; Póltorak, M., Kowalski, J.
- E-questionnaire in cross-sectional household surveys; 2013; Karaganis, M.
- 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.
- HTML5 and mobile Web surveys: A Web experiment on new input types; 2013; Funke, F.
- 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.
- Rewards - Money for Nothing?; 2013; Cape, P. J., Martin, P.
- Web coverage in the UK and its potential impact on general population web surveys; 2013; Callegaro, M.
- Life history calendars - a viable method for web-based data collection?; 2013; Glasner, T., van der Vaart, W.
- Measurement issues in web surveys: An overview of opportunities and challenges; 2013; Calderwood, L.
- Issues of Coverage and Sampling in Web Surveys for the General Population: An Overview; 2013; Lynn, P.
- The Design of Grids in Web Surveys; 2013; Couper, M. P., Tourangeau, R., Conrad, F. G., Zhang, C.
- Survey Research; 2013; Abbott, M. L., McKinney, J.
- 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.
- Informed Consent for Web Paradata Use; 2013; Couper, M. P., Singer, E.
- Measurement invariance and quality of composite scores in a face-to-face and a web survey; 2013; Revilla, M.
- Surveying “difficult-to-sample” backpackers through Facebook? Employing a mixed-mode dual...; 2013; Morris Paris, C.
- Online Instruments, Data Collection, and Electronic Measurements: Organizational Advancements; 2013; Bocarnea, M. C., Reynolds, R. A., Baker, J. D.
- Examining the Gender Effects of Different Incentive Amounts in a Web Survey; 2013; Boulianne, S. J.
- Worldwide online research spending; 2012
- Unintentional mobile respondents; 2012; Peterson, G.
- Tracking preference expression (DNT); 2012
- The rise of the "connected viewer"; 2012; Smith, A., Boyles, J. L.
- The practice of social research; 2012; Babbie, E. R.
- The integration of facebook into class management: an exploratory study; 2012; Chou, P. N.
- Sensitive topics in PC Web and mobile web surveys: Is there a difference?; 2012; Mavletova, A. M., Couper, M. P.
- Selection bias of internet panel surveys: A comparison with a paper-based survey and national governmental...; 2012; Tsuboi, S. et al.
- Screenwise panel: Frequently Asked Questions; 2012
- Research company spotlight - Mobile surveys; 2012
- Redeveloping the research section of Meningitis UK's website — A case study report; 2012; Witt, J. et al.
- Participation of mobile users in traditional online studies; 2012; Jue, A.
- Online survey statistics for the mobile future. Updated with Q3 2012 data; 2012
- Metering mobile usage. Insights from global Arbitron mobile trends panel; 2012; Verkasalo, H.
- Media tracker; 2012
- Measuring the quality of governmental websites in a controlled versus an online setting with the ‘...; 2012; Elling, S. et al.
- Internet use in households and by individual in 2012. Eurostat Statistics in Focus 50/2012; 2012; Seybert, H.
- Guide to social science data preparation. Best practice throughout the data life cycle; 2012
- Google et Médiamétrie créent une audience bimédia; 2012; Gonzales, P.
- Flowing with the mainstream. Is mobile market research finally living up to the hype?; 2012; Townsend, L.
- Online Surveys 2.0; 2012; Elferink, R.
- The Impact of Academic Sponsorship on Online Survey Dropout Rates; 2012; Allen, P. J., Roberts, L. D.
- Snowball Sampling in Online Social Networks; 2012; Raissi, M., Ackland, R.
- Data quality of questions sensitive to social-desirability bias in web surveys; 2012; Lozar Manfreda, K., Zajc, N., Berzelak, N., Vehovar, V.
- Online Questionnaires: Development of ‘basic requirements’; 2012; Tries, S., Blanke, K.
- Efficacy of a health-related Facebook social network site on health-seeking behaviors; 2012; Woolley, P., Peterson, M.
- Paradata; 2012; Kreuter, F.