Emerald Article: Social research 2.0: virtual snowball sampling method using Facebook Fabiola Baltar, Ignasi Brunet
To cite this document: Fabiola Baltar, Ignasi Brunet, (2012),"Social research 2.0: virtual snowball sampling method using Facebook", Internet Research, Vol. 22 Iss: 1 pp. 57 - 74 Permanent link to this document: http://dx.doi.org/10.1108/10662241211199960 Downloaded on: 11-05-2012 References: This document contains references to 48 other documents To copy this document: firstname.lastname@example.org This document has been downloaded 189 times.
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Social research 2.0: virtual snowball sampling method using Facebook Fabiola Baltar
University of Mar del Plata, Mar del Plata, Argentina, and
Social research 2.0
Received 9 March 2011 Revised 10 March 2011 10 July 2011 26 July 2011 4 August 2011 Accepted 12 August 2011
University Rovira I Virgili, Reus, Spain
Purpose – The aim of this paper is to present a sampling method using virtual networks to study “hard-to-reach” populations. In the ambit of social research, the use of new technologies is still questioned because the selection bias is an obstacle to carry on scientiﬁc research on the Internet. In this regard, the authors’ hypothesis is that the use of social networking sites (Web 2.0) can be effective for the study of “hard-to-reach” populations. The main advantages of this technique are that it can expand the geographical scope and facilitates the identiﬁcation of individuals with barriers to access. Therefore, the use of virtual networks in non-probabilistic samples can increase the sample size and its representativeness. Design/methodology/approach – To test this hypothesis, a virtual method was designed using Facebook to identify Argentinean immigrant entrepreneurs in Spain (214 cases). A characteristic of this population is that some individuals are administratively invisible in national statistics because they have double nationality (non-EU and EU). The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2.0 research in behavioural sciences. Findings – The number of cases detected by Facebook and the virtual response rate is higher than traditional snowball technique. The explanation is that people increase their level of conﬁdence because the researcher shows his personal information (Facebook’s proﬁle) and also participates in their groups of interest (Facebook’s groups). Moreover, the online questionnaires administration allows the quality of the information to be controlled and avoids duplication of cases. Originality/value – The present article is the ﬁrst that uses Facebook as an instrument to study immigrants....