Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Clustering Large Data Set: An Applied Comparative Study Read chapter Read first chapter

2012 | OriginalPaper | Chapter

Web Surveys: Methodological Problems and Research Perspectives

Authors : Silvia Biffignandi, Jelke Bethlehem

Published in: Advanced Statistical Methods for the Analysis of Large Data-Sets

Publisher: Springer Berlin Heidelberg

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Route-Based Performance Evaluation Using Data Envelopment Analysis Combined with Principal Component Analysis
next chapter Semantic Based DCM Models for Text Classification
Footnotes
1
Partners of the European project WebSM (Web Survey Methodology) are: University of Ljubliana, University of Bergamo, Linkoeping University, ZUMA.
 
Literature
Bethlehem J., Biffignandi S. (2012) Handbook of wep surveys, Wiley & Sons, New Jersey.
Bethlehem J. (2007) Reducing the bias of web surveys estimates, CBS Discussion paper 07001, Voorbug/Heelen.
Bethlehem J.G. (2008) How accurate are self-selection web surveys?. Discussion Paper 08014, Statistics Netherlands, The Hague/Heerlen, The Netherlands.
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.
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.
Biffignandi S., Pratesi M. (2000) Modelling firms response and contact probabilities in Web surveys, ICESII Proceeding Conference, Buffalo, USA, June 2000.
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.
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.
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).
Cochran W.G. (1968) The effectiveness of adjustment by subclassification in removing bias in observational studies. Biometrics 24.
Couper M.P. (2008) Designing Effective Web Surveys, Cambridge Univ. Press, N.Y..CrossRef
Czaja R., Blair J. (2005) Designing surveys: A guide to decisions and procedures (2, Sage, Oaks CA.
Dillman D. (2007) Mail and Internet Surveys, The Tailored DsiMethod,Wiley.
Huggins V., Krotki K. (2001) Implementation of nationally representative web-based surveys, Proceedings of the Annual Meeting of the ASA, August 5–9.
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.
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.MathSciNetMATHCrossRef
Rosenbaum, P.R. & Rubin. D.B. (1984), Reducing bias in observational studies using subclassification on the propensity score. JASA, 79, pp. 516–524.
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.
Schonlau, M., Fricker, R.D. & Elliott, M.N. (2003), Conducting Research Surveys via E-mail and the Web. Rand Corporation, Santa Monica, CA.
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.MathSciNetCrossRef
Terhanian, Marcus, Bremer, Smith (2001)Reducing error associated with non-probability sampling through propensity scores, JSM, Atlanta, Georgia, USA.
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.
Metadata
Title
Web Surveys: Methodological Problems and Research Perspectives
Authors
Silvia Biffignandi
Jelke Bethlehem
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
Advanced Statistical Methods for the Analysis of Large Data-Sets

Print ISBN: 978-3-642-21036-5

Electronic ISBN: 978-3-642-21037-2

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-21037-2_33

Premium Partner

    Image Credits