Open Access Open Access  Restricted Access Subscription Access

Web-Based Surveys:An Emerging Tool


Affiliations
1 UGC, Bangalore University, India
2 Quantitative Methods and Operations, ICFAI Business School, Bangalore, India
 

With increasing web accessibility and popularity, Web-Based-Surveys (WBS) are becoming common and convenient. In spite of the lower cost and greater speed advantages, there are a few concerns with WBS, including sample randomness. This article reviews WBS scenario briefly, mentions advantages and concerns sources of error. The question of noncoverage is addressed in particular and its impact is examined and this study addresses the category of non-respondents. A few seed ideas for addressing the shortcomings of the WBS are given.

Keywords

Bias, Dual-Frame Sampling, Internet, Noncoverage, Nonresponse, Randomness, River Sampling, Web-Based Surveys.
User
Notifications
Font Size

  • Bosnjak, MM and Tuten, TL (2001). Classifying response behaviours in web based surveys. Journal of computer mediated communication, Vol. 6(3). http://www.ascusc.org
  • Couper MP. (2000): A review of issues and approaches, Public opinion quarterly, Vol. 64(4) pp. 464-481.
  • Couper MP, Traugott MW and Lamias, MJ (2001). Web survey design and Administration, Public opinion quarterly, Vol. 65(2), pp. 230-253.
  • Dillman, DA (2000). Mail and internet surveys: The tailored design Methods, 2nd edition, Wiley , New York.
  • Dilman, DA and Bowker, DK (2001). The web questionnaire challenge to Survey methodologists.: http//survey.sesrc.wsu.edu
  • Dilman, DA et al (2001). Response rate and measurement Differences in mixed mode surveys using Mail, Telephone, Interactive Voice Response and Internet: http//survey.sesrc.wsu.edu.
  • DiSorga, C (2008). River samples: A good catch for researchers? www.knowledgenetworks.com.
  • Holly Gunn (2008). Web-based Surveys: Changing the survey Process. First Monday journal on the internet, Vol. 7(12) pp. 1-17.
  • Kalton, G (2001) Practical methods for sampling rare and mobile populations: Proceedings of American statistical Association, Section on Survey Research methods.
  • Redline, CD and Dilman , DA (1999). The influence of Auxiliary, Symbolic, Numeric and Verbal language on navigational Complience in self administrated questionnaires: http//www.survey.sesrc.wsu.edu.
  • Satmetrix, (2001). Investigating validity in Web surveys. http//www.satmetrix.com.
  • Solomon, DJ (2001). Conducting Web-based surveys: Practical assessment, Research and Evaluation, Vol. 7(19). http//www.ericae.net.
  • Srivenkataramana, T (2007). “Self reporting method in business surveys”, Dharana- Bhavan’s International journal of Business, Vol. 1 (1) pp. 38-40.

Abstract Views: 159

PDF Views: 82




  • Web-Based Surveys:An Emerging Tool

Abstract Views: 159  |  PDF Views: 82

Authors

T. Srivenkataramana
UGC, Bangalore University, India
M. Saisree
Quantitative Methods and Operations, ICFAI Business School, Bangalore, India

Abstract


With increasing web accessibility and popularity, Web-Based-Surveys (WBS) are becoming common and convenient. In spite of the lower cost and greater speed advantages, there are a few concerns with WBS, including sample randomness. This article reviews WBS scenario briefly, mentions advantages and concerns sources of error. The question of noncoverage is addressed in particular and its impact is examined and this study addresses the category of non-respondents. A few seed ideas for addressing the shortcomings of the WBS are given.

Keywords


Bias, Dual-Frame Sampling, Internet, Noncoverage, Nonresponse, Randomness, River Sampling, Web-Based Surveys.

References