Sampling for Internet Surveys. An Examination of Respondent Selection for Internet Research

Open Access
Publisher Website
Google Scholar
Abstract
The traditional methods of probability and non-probability sample selection are applicable to Internet surveys and respondents can be selected in various ways, some of which are unique to the Internet. Specific to the Internet and important to note from a sampling viewpoint, is the self-completion method of data collection. For this article the method has been sub-divided into six categories, three web-page style questionnaires and three e-mail style questionnaires. Data that show the number of individuals with access to a networked computer are of limited use in sampling. Thirteen types of computer user are identifiable, each of which poses a challenge for sampling. Published examples illustrate how these principles have been applied in practice. Two techniques; saturation surveying and sifting, may be employed usefully in some situations. There are numerous solutions to sampling problems for Internet research and many avenues for further inquiry.

This publication has 2 references indexed in Scilit: