Web Survey Bibliography
At the workshop I will present objectives, procedures and results from a pilot-study.
Background
Conventionally, data editing is initiated subsequent to data collection. The preliminary object of post data collection data editing, is to identify possibly defective data. The object proper is to correct errors and improve data quality. Correction of possible defective data may involve costly manual record checks, burdening re-contact with individual businesses/respondents, and possible bias from automatic imputation and statistical editing. In order to minimise costs and burden, the cut off level for possibly defective input data, which is actually edited, may be set low, resulting in low quality output data.
Pilot survey
Data collection for statistics on Vacant Positions for ESS is fairly non-complex and straight forward - compared to most business statistics at Statistics Denmark. In the questionnaire two questions are asked: Number of vacant positions, and – as a reference variable for data editing - number of persons currently employed. Previously, data editing for this survey was initiated post data collection: For each work unit in the sample, the reported number of vacant positions was compared to the reported number of persons employed. The reported number of employees was also compared to the number of employees recorded in the survey 12 months earlier, and to the number of employees currently recorded for the work unit in the Danish Central Business Register. This was done in order to check, whether the responding businesses had reported vacant positions for the intended work unit (and e.g. not for the whole enterprise). Correction of possible defective data involved manual record checks, re-contact to respondents by phone and statistical imputation and manipulation.
Advanced dynamic online data editing
At Statistics Denmark, Survey and Methods the vacant positions survey was selected as a pilot for “advanced dynamic online data editing”. An online questionnaire was developed, where some of the “old” post data collection edit checks for cross reference were incorporated and run dynamically - as the respondent enters data in the form. The questionnaire for each individual work unit was pre-loaded with: Number of employees recorded in the survey 12 months earlier and number of employees currently recorded in Danish Central Business Register. These values were not actually visible to the respondent in the form, but only used as reference data. If data is entered in the form, which does not comply with the “old” post data collection edit checks, then a warning is generated, and the respondent is asked to re-consider and either modify the response or enter a comment/explanation.
Workshop Homepage (abstract) / (presentation)
Web survey bibliography - Denmark (31)
- Representative web-survey!; 2016; Linde, P.
- Correcting for non-response bias in contingent valuation surveys concerning environmental non-market...; 2015; Bonnichsen, O.; Boye Olsen, S.
- The effect of multiple reminders on response patterns in a Danish health survey; 2015; Christensen, A. I.; Ekholm, O.; Kristensen, P. L.; Larsen, F. B.; Vinding, A. L.; Gluemer, C.; Juel,...
- Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis; 2014; Gnambs, T., Kaspar, K.
- Self-reported cheating in web surveys on political knowledge; 2014; Jensen, C., Thomsen, J. P. F.
- Improving Survey Response Rates in Online Panels Effects of Low-Cost Incentives and Cost-Free Text Appeal...; 2014; Pedersen, M. J., Nielsen, C. V.
- Online Qualitative Research – Personality Matters ; 2014; Tress, F., Doessel, C.
- Is it what you say, or how you say It? An experimental analysis of the effects of invitation wording...; 2014; Fazekas, Z., Wall, M. T., Krouwel, A.
- Measuring Mobile Phone Use: Self-Report Versus Log Data; 2013; Boase, J., Ling, R.
- Effect of survey mode on response patterns: comparison of face-to-face and self-administered modes in...; 2013; Illemann Christensen, A., Ekholm, O., Gluemer, C., Juel, K.
- ESSnet Data: Collection for Social Surveys using Multiple Modes; 2013; Sattelberger, S., Blanke, K.
- A Framework for the Collection of Universal Client Side Paradata (UCSP); 2012; Kaczmirek, L.
- Does survey experience affect respondents’ reported level of satisfaction?; 2012; Schultz Christensen, A., Ladenburg, J.
- Efficiency of Different Recruitment Strategies for Web Panels; 2012; Hansen, K. M., Pedersen, R. T.
- “Don’t know” the difference - An experimental comparison between Web and CATI; 2011; Schielicke, A.-M., Degen, M.
- On Affordances and Technological Intersubjectivity; 2011; Vatrapu, R.
- Usability and burden measurement in online forms; 2011; Thomsen, P.
- Dynamic Data Editing in online data collection for the Vacant Positions Survey; 2011; Stax, H.-P.
- Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch and Danish Experiences; 2011; Snijkers, G., Haraldsen, G., Stax, H.-P.
- Does the Inclusion of a Cost Attribute in Forced and Unforced Choices Matter? Results from a Web Survey...; 2011; Pedersen, L. B., Kjaer, T., Kragstrup, J., Gyrd-Hansen, D.
- Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch and Danish Experiences; 2011; Haraldsen, G., Snijkers, G., Roos, M., Sundvoll, A., Vik, T., Stax, H.-P.
- Examination of a ’Web Mode Effect’. An Experimental Comparison of Web and Paper Based Surveys...; 2011; Shamshiri-Petersen, D., Clement, S. L.
- The impact of incentives and interview methods on response quantity and quality in diary- and booklet...; 2010; Bonke, J., Fallesen, P.
- Measuring Internet And Press Audience In The Media Convergence Era. In Search Of A New Paradigm In Researching...; 2009; Pawlak, J., Póltorak, M.
- Choosing Between Internet and Mail Survey Modes for Choice Experiment Surveys Considering Non-Market...; 2009; Boye Olsen, S.
- Using mobile phones to measure TV-broadcast quality; 2009; Wieland, J. L., Puggaard, B.
- Differential response rates in postal and Web-based surveys in older respondents; 2009; Bech, M., Kristensen, M. B.
- Response rate and completeness of questionnaires: A randomized study of internet versus Paper-and-Pencil...; 2007; Holm- Christensen, K., Hjollund, H. N., Basnov, M., Kongsved, S. M.
- The impact of material incentives on response quantity, response quality, sample composition, survey...; 2004; Goeritz, A.
- Willingness to Pay for Organic Foods: A Comparison between Survey Data and Panel Data from Denmark ; 2002; Millock, K.; Hansen, L.G.; Wier, M.; Andersen, L.M
- Online Research: Methoden, Anwendungen und Ergebnisse ; 1999; Batinic, B., Bandilla, W., Graef, L., Werner, A.