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Web Based Surveys:An Analysis of Nonresponse Causes


Affiliations
1 Bangalore University, Bangalore, India
2 Utkal University, Bhubaneswar, India
3 IBSB, Bangalore, India
 

Web based surveys (WBS) are becoming increasingly common due to widening net connectivity. WBS mode has its positive and negative points. Cost and time reductions are on the plus side while the question of randomness of sample, nonresponse and quality of response are on the other. Thus, WBS presents a mixed bag. This paper examines the reasons for nonresponse in WBS. The often quoted reasons are examined using Factor Analysis. It is found that design is a predominant factor.This aspect is further examined by analyzing the effect of positioning of demographic block, using ANOVA. It is noted that this block in the beginning of the questionnaire results in more drop outs as compared to it being later on. Also examined is the impact of sensitivity of questions and its interaction with the positioning of demographic block.

Keywords

ANOVA, Demographic Block, Factor Analysis, Noncoverage, Nonresponse, Questionnaire Design, Web Based Surveys.
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Abstract Views: 172

PDF Views: 72




  • Web Based Surveys:An Analysis of Nonresponse Causes

Abstract Views: 172  |  PDF Views: 72

Authors

T. Srivenkataramana
Bangalore University, Bangalore, India
Gopabandhu Mishra
Utkal University, Bhubaneswar, India
M. Saisree
IBSB, Bangalore, India

Abstract


Web based surveys (WBS) are becoming increasingly common due to widening net connectivity. WBS mode has its positive and negative points. Cost and time reductions are on the plus side while the question of randomness of sample, nonresponse and quality of response are on the other. Thus, WBS presents a mixed bag. This paper examines the reasons for nonresponse in WBS. The often quoted reasons are examined using Factor Analysis. It is found that design is a predominant factor.This aspect is further examined by analyzing the effect of positioning of demographic block, using ANOVA. It is noted that this block in the beginning of the questionnaire results in more drop outs as compared to it being later on. Also examined is the impact of sensitivity of questions and its interaction with the positioning of demographic block.

Keywords


ANOVA, Demographic Block, Factor Analysis, Noncoverage, Nonresponse, Questionnaire Design, Web Based Surveys.

References