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Web Surveys: Methodological Problems and Research Perspectives

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Advanced Statistical Methods for the Analysis of Large Data-Sets

Part of the book series: Studies in Theoretical and Applied Statistics ((STASSPSS))

Abstract

This paper presents a framework of current problems and related literature on Internet/web surveys. It proposes a new classification of research topics on challenging issues. Thereby it takes into account application the role that these surveys play in different research contexts (official statistics, academic research, market research). In addition critical research, open questions and trends are identified. Furthermore a specific section is devoted to bias estimation, which is a critical point in this type of survey. In particular, original bias and variance definitions are proposed.

The present paper is financially supported from the ex 60% research funds 2007 and 2008 of the University of Bergamo, research responsible Silvia Biffignandi.

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Notes

  1. 1.

    Partners of the European project WebSM (Web Survey Methodology) are: University of Ljubliana, University of Bergamo, Linkoeping University, ZUMA.

References

  • Bethlehem J., Biffignandi S. (2012) Handbook of wep surveys, Wiley & Sons, New Jersey.

    Google Scholar 

  • Bethlehem J. (2007) Reducing the bias of web surveys estimates, CBS Discussion paper 07001, Voorbug/Heelen.

    Google Scholar 

  • Bethlehem J.G. (2008) How accurate are self-selection web surveys?. Discussion Paper 08014, Statistics Netherlands, The Hague/Heerlen, The Netherlands.

    Google Scholar 

  • Bethlehem, J.G., Stoop, I. (2007) Online panels - a Paradigm Theft? In M. Trotman et al. (Eds.), The challenges of a changing world. Southampton, UK: ASC, 113–131.

    Google Scholar 

  • Biffignandi S. (2010) Internet Survey Methodology - recent trends and developments, in International Encyclopedia of Statistical Science, Lovric, Miodrag (Ed.), Springer, ISBN: 978–3–642–04897–5.

    Google Scholar 

  • Biffignandi S., Pratesi M. (2000) Modelling firms response and contact probabilities in Web surveys, ICESII Proceeding Conference, Buffalo, USA, June 2000.

    Google Scholar 

  • Biffignandi S., Pratesi M. (2002) Modeling The Respondents’ Profile In A Web Survey On Firms In Italy, In A. Ferligoj, A. Mrvar (ed.), Developments in Social Science Methodology, Metodoloski zvezki, 18, 171–185.

    Google Scholar 

  • Biffignandi S., Pratesi M. (2005) Indagini Web: propensity scores matching e inferenza. Un’analisi empirica e uno studio di simulazione, in Integrazione di dati di fonti diverse: Falorsi P., Pallara A., Russo A. (editors), Angeli, Milano, 131–158.

    Google Scholar 

  • Biffignandi S., Pratesi M., Toninelli D. (2003) Potentiality of propensity scores methods in weighting for Web surveys: a simulation study based on a statistical register, ISI Conference, Berlino, August (CD).

    Google Scholar 

  • Cochran W.G. (1968) The effectiveness of adjustment by subclassification in removing bias in observational studies. Biometrics 24.

    Google Scholar 

  • Couper M.P. (2008) Designing Effective Web Surveys, Cambridge Univ. Press, N.Y..

    Book  Google Scholar 

  • Czaja R., Blair J. (2005) Designing surveys: A guide to decisions and procedures (2, Sage, Oaks CA.

    Google Scholar 

  • Dillman D. (2007) Mail and Internet Surveys, The Tailored DsiMethod,Wiley.

    Google Scholar 

  • Huggins V., Krotki K. (2001) Implementation of nationally representative web-based surveys, Proceedings of the Annual Meeting of the ASA, August 5–9.

    Google Scholar 

  • Lozar Manfreda K., Vehovar V. (2006) Web survey methodology (WebSM) portal, in B. Aaron, D. Aiken, R.A. Reynolds, R. Woods, J.D. Baker (Eds), Handbook on Research on Electronic Surveys and Measurement, Hershey PA, 248–252.

    Google Scholar 

  • Rosenbaum, P.R. & Rubin, D.B. (1983), The central role of the propensity score in observational studies for causal effects. Biometrika 70, pp. 41–55.

    Article  MathSciNet  MATH  Google Scholar 

  • Rosenbaum, P.R. & Rubin. D.B. (1984), Reducing bias in observational studies using subclassification on the propensity score. JASA, 79, pp. 516–524.

    Google Scholar 

  • Scherpenzeel, A. (2008), An online panel as a platform for multi-disciplinary research. In: I. Stoop & M. Wittenberg (eds.), Access Panels and Online Research, Panacea or Pitfall?, Aksant, Amsterdam, 101–106.

    Google Scholar 

  • Schonlau, M., Fricker, R.D. & Elliott, M.N. (2003), Conducting Research Surveys via E-mail and the Web. Rand Corporation, Santa Monica, CA.

    Google Scholar 

  • Schonlau M., van Soest A., Kapteyn A., Couper M. (2009) Selection Bias in Web Surveys and the Use of Propensity Scores, Sociological Methods & Research, Vol. 37, No. 3, 291–318.

    Article  MathSciNet  Google Scholar 

  • Terhanian, Marcus, Bremer, Smith (2001)Reducing error associated with non-probability sampling through propensity scores, JSM, Atlanta, Georgia, USA.

    Google Scholar 

  • Vonk, T., Van Ossenbruggen, R. and Willems, P. (2006) The effects of panel recruitment and management on research results, a study among 19 online panels. Panel Research 2006, ESOMAR World Research, ESOMAR Publ.Serv. 317, 79–99.

    Google Scholar 

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Correspondence to Silvia Biffignandi .

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Biffignandi, S., Bethlehem, J. (2012). Web Surveys: Methodological Problems and Research Perspectives. In: Di Ciaccio, A., Coli, M., Angulo Ibanez, J. (eds) Advanced Statistical Methods for the Analysis of Large Data-Sets. Studies in Theoretical and Applied Statistics(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21037-2_33

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