Web Survey Bibliography
(a) Relevance & Research Question:
Social scientists are often reluctant to rely on data from online access panels or other web surveys because they fear that the general data quality may be seriously flawed and the results are thus neither valid nor reliable . The third major concern of representative sampling is not always important, e.g. in case of experimental designs or studies that are only used for analyzing relationships as opposed to comparing distributions and mean values. Our research question is, whether speeders in online surveys jeopardize results due to a lack of validity and reliability of results.
(b) Methods & Data:
In a research project on basic human values, fielded in 2010, we have implemented an online questionnaire and gathered data using the ‘Unipark’ online access panel. The 20 minute instrument includes among other measurements the 40 item Schwartz Portrait Value Questionnaire (PVQ) over five consecutive pages. We use confirmatory factor analyses (CFA) and structural equation models (SEM) to analyze our data.
(c) Results:
When analyzing the data we hardly faced any item non-response but have discovered many comparatively fast respondents using different speed thresholds. In order to cross-check our results we compared the results of CFA and SEM from two separate surveys (each: n > 750) using independent samples and we compare models from respondents at different speeds. We found a high degree of homogeneity between the two different samples and the models of slow respondents and speeders while controlling for straightliners on our Likert scale.
(d) Added Value:
The results indicate that value research may profit from online access panels both to pretest complex instruments and to validate results, e.g. by applying structural equation models. Although the quality of representative samples is not yet given for most online panels, the tentative results of our fundamental research indicates that speeders do not necessarily jeopardize the quality of the data and thus the validity and the reliability of results. This is an important insight for those social scientists usually relying on cost-intensive traditional PAPI and CATI data collection.
Conference Homepage (abstract) / (presentation)
Web survey bibliography - 2011 (358)
- Surveying the General Public over the Internet Using Address-Based Sampling and Mail Contact Procedures...; 2011; Messer, B. L., Dillman, D. A.
- Mobile phones as an extension of the participant observer's self: Reflections on the emergent role...; 2011; Hein, W., O'Donohoe, S., Ryan, A.
- Mixed methods designs in marketing research; 2011; Harrison, R. L., Reilly, T. M.
- Introduction to Usability Testing for Survey Research; 2011; Geisen, E., Jarrett, C.
- 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.
- E-Census 2011 Portugal: implementation and results of the Pilot Survey; 2011; Vicente, P., Rosa, A., Reis, E.
- Facebook sampling methods: some methodological proposals; 2011; Macrì, E., Tessitore, C.
- Reflections on web based data collection in a mixed mode design: the case of the EU Labour Force Survey...; 2011; Kloek, W., van der Valk, J.
- Standardising the web data collection channel at the Basque Statistics Office (EUSTAT); 2011; Prado, C., Guinea , C.
- An Experimental Investigation of Mode Effects in the Hungarian Census Test 2009; 2011; Vereczkei, Z.
- Collaborative systems for enhancing the analysis of social surveys: the Grid Enabled Specialist Data...; 2011; Lambert, P., Warner, G., Doherty, T., McCafferty, S., Watt, J., Comerford, M., Gayle, V., Tan, L., Blum...
- ILS Online Survey; 2011; Weber, C.
- Development of a Web-Based Survey for Monitoring Daily Health and its Application in an Epidemiological...; 2011; Sugiura, H., Ohkusa, Y., Akahane, M., Sano, T., Okabe, N., Imamura, T.
- Sampling v. Scale: An investigation the tension between convenience sampling, response rates, probability...; 2011; Garland, P.
- Effectiveness and consequences of various recruitment methods in psychological research: case study; 2011; Poltorak, M.
- A new approach to the analysis of survey drop-out. Results from Follow-up Surveys in the German Longitudinal...; 2011; Rossmann, J., Blumenstiel, J. E., Steinbrecher, M.
- Tracking the decision-making process – Findings from an Online Rolling Cross-Section Panel Study...; 2011; Faas, T.
- Should we use the progress bar in online surveys? A meta-analysis of experiments manipulating progress...; 2011; Callegaro, M., Yang, Y., Villar, A.
- From "Web Questions" to "Propensity Score Weighting": An Evaluation of Topics and...; 2011; Welker, M., Taddicken, M.
- Rich Profiles – Or: What's the problem with self-disclosure data?; 2011; Tress, F.
- Who are leaving our panel: panel attrition and personality traits; 2011; Marchand, M.
- Mobile Research Apps – Adding New Capabilities to Market Research; 2011; Rieber, D.
- The influence of personality traits and motives for joining on participation behavior in online panels...; 2011; Keusch, F.
- Asking sensitive questions in a recruitment interview for an online panel: the income question; 2011; Schaurer, I., Struminskaya, B., Kaczmirek, L., Bandilla, W.
- Speeders in Online Value Research: Cross-checking results of fast and slow respondents in two separate...; 2011; Beckers, T., Siegers, P., Kuntz, A.
- Effects of survey question clarity on data quality; 2011; Lenzner, T.
- Respondent Characteristics as Explanations for Uninformative Survey Response: Sources of Nondifferentiation...; 2011; Van Meurs, L., Klausch, L. T., Schoenbach, K.
- Snap judgement polling; 2011; Anderson, K., Wright, M., Wheeler, M.
- Individual differences in motivation to participate in online panels; 2011; Bruggen, E., Wetzels, M., de Ruyter, K., Schillewaert, N.
- Data Use: A systematic method for checking online questionnaires; 2011; Arbittier, J.
- Understanding the pros and cons of mixed-mode research; 2011; Mora, M.
- Visiting item non-responses in internet survey data collection; 2011; Albaum, G., Roster, C. A., Smith, S. M., Wiley, J. B.
- Why Web-assisted TDIs are a cost-effective qualitative methodology ; 2011; Donnelly, T.
- Capturing affective experiences using the SMS Experience Sampling (SMS-ES) method.; 2011; Andrews, L., Russell-Bennett, R., Drennan, J.
- Successful Prompting Methods on a Web-Based Survey; 2011; Venkataraman, L.
- Multi-Mode Survey Administration; 2011; Holder, T.
- Do’s and Don’ts of Developing Mixed Mode Surveys; 2011; Sanders, Ti.
- Mobile Survey Development Toolkit/Survey Framework; 2011; Rauch, M.
- Web based CATI on Amazon Elastic Compute Cloud and VirtualBox using queXS; 2011; Zammit, A.
- Survey Suite: Our "LOGIN & GO" Solution to Survey Research Needs; 2011; Lowden, M.
- A Dinosaur That Just Won't Die: A Return to Paper Surveys; 2011; Crandall, S., Crisafulli, T.
- Responses to Mail-Internet Mixed Mode Surveys: When Can we do Away with Paper Questionnaires?; 2011; Krebill-Prather, R.
- Web/Cloud Based CATI Using queXS; 2011; Zammit, A.
- When Referring to Mode, Is Expressed Preference the Same as Reality?; 2011; Denk, K.
- Developing Paradata Tools to Maximize Call Center Conversion Rates; 2011; Heinrich, T., Pittman, J., Abu, K.
- Incentives, Research-based Best Practices; 2011; Dykema, J.
- "But This is My Cell Phone!": A Qualitative Look at Practical Techniques for Gaining the...; 2011; George, J., Balok, T., Frasier, A. M.
- Developing and Implementing Adaptive Total Design (ATD); 2011; Carley-Baxter, L. R., Mitchell, S., Peytchev, A., Day, O.
- Three Era's of Survey Research; 2011; Groves, R. M.
- Creating Effective Designs for Mixed-Mode Surveys; 2011; Dillman, D. A.