Virtual snowball sampling not only facilitates the access to *hard to reach” population, but also can expand sample size and the scope of the study and reduce costs and time (Benefited and Solemn, 2006). Pace-eBook as a sample frame: combining random seeds and online/offline snowball sampling empirical studies have applied Internet surveys for accessing to “hard to reach” samples (Miller and Scoundrels, 2010; Rhodes et al., 2007; Wilson and Lackey, 2003; Cambial, 2006; We et al_, 2010). Snowball sampling (also known as chain-referral sampling) is a non-probability (non-random) sampling method used when characteristics to be possessed by samples are rare and difficult to find. The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2.0 research in behavioural sciences. Thus, those samples tend to be biased towards more cooperative individuals or those who have a large personal network According to the limitations observed in the traditional snowball method, the targeted sampling includes an initial ethnographic assessment in order to identify the networks that might exist in a given population. In spite of these limitations, we consider that it is important to pay attention to the concept tot statistical generalization and other concepts associated with external validation such as theoretical validity or the possibilities of replication. 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. Snowball sampling is a popular technique among social scientists who wish to work with a population that is difficult to identify or locate. The deadline is too short to read long examples? Many authors observe that snowball samples have a number of deficiencies (Van Meter, 1990, Johnston and Sabina, 2010). Moreover, the quality of the information and the selection bias problem are associated with the sampling error (i. E. Missing virtual groups), coverage (i. E. Internet accessibility of the target population), Nan-response pattern (i. E. Preferences between respondents and Nan-respondents on a variable of interest) and measurement errors (i. E. Deviation of respondents answers with the population). Descending methodology involves strategies for the study of general populations. 22 No. Luckily, FreeBookSummary offers study guides on over 1000 top books from students’ curricula! (Wilson and Lackey, 2003: Benefited and Solemn, 2006: Divorcing and Liar, 2006), it is less developed in the analysis of online recruitment sample process. Atkinson and Plinth (2001, p. 2) suggest that: the problem of selection bias may be partially addressed, firstly through the generation Of large sample and secondly by the replication Of results to strengthen any generalizations. freebooksummary.com © 2016 - 2020 All Rights Reserved. Snowball sampling is defined as: technique for finding research subjects. Pages. 1, pp. The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2. Currently, more than 500 million users worldwide share their interest and personal information on Backbone. But not all the research questions pursue the aim of predicting results to the population. Unclear answering instructions because online questionnaires are self-administered. In the same fashion, Evans and Amateur (2005) list a set of problems associated with the use of online surveys: The perception that the mail is a “spam” one which increase the non-response rate. Therefore its adoption represents a great challenge in the social research field because there are many barriers Of access and search. HTML Social research 2.: virtual snowball sampling method using Backbone Bilabial Bulbar University of Mar del Plat, Mar del Plat, Argentina, and Social research 2. As it is observed by Brinkman- Bhutan (2009, p. 1), “online social networking sites offer new ways for researchers to run surveys quickly, cheaply, and single- handled, especially when seeking to construct snowball samples of small or stigmatize subsets of the general population”. This strategy can be viewed as a response to overcoming the problems associated with sampling concealed hard to reach populations such as the criminal and the isolated (Atkinson and Flint, 2001, p. 1). As many scholars recognize, the Internet provides new opportunities for non-random survey data (Copper, 2000; Fricke and Cinchonas, 002). The main disadvantages are that there are biases particularly associated With data collection: sampling error. Typical forms of ascending data analysis arc social network analysis and classification analysis, often called cluster analysis. In this regard, the tutors’ hypothesis is that the use of social networking sites (Web 2. In order to test this hypothesis, we applied virtual online sampling to detect Argentinean entrepreneurs in Spain. A characteristic of this population is that mom individuals are administratively invisible in national statistics because they have double nationality (non-E and ELI). Internet Research Emerald Article: Social research 2.0: virtual snowball sampling method using Facebook Fabiola Baltar, Ignasi Brunet Article information: To cite this document: Fabiola Baltar, Ignasi Brunet, (2012),"Social research 2.0: virtual snowball sampling method using Facebook", Internet Research, Vol. Moreover, the study of online recruitment of hard to reach populations in economics and business search field is highly limited (Alive et 2002; Burns and Bush, 2006). 3. Therefore, the use of virtual networks in non-probabilistic samples can increase the sample size and its representatives. 2003) created a web link to capture information of anonymous recreational drug users. Impersonal, there is usually no human contact in online surveys. Because the geographical conditions can change over time, there is a potential sampling bias that makes it necessary to update the sampling frame which means increased costs. The main barriers to get a considerable sample size are the geographical scope and the time needed to build trust between the researcher and the individuals. Managing t al. Hidden population” (the double nationality citizens) there is a threat in terms of representatives Of the results. But the massive impact of Sans was given in 2003 with the emergence of sites such Namespace or Linked, However, many researchers recognize that with the creation of Backbone in 2004, the social networks phenomenon had attracted more users not only in the USA but also all around the world. 0) can be effective for the study of “hard-to-reach” populations. At the beginning Backbone was created to connect Harvard students, but rapidly it spread to include high school students, professionals and everyone. The behavior tooth population tot interest is not known, which leads too poor choice of places in which to approach them. A characteristic of this population is that some individuals are administratively invisible in national statistics because they have double nationality (non‐EU and EU). Keuntungan dalam pengambilan sampel bola salju virtual yaitu; Virtual snowball sampling not only facilitates the access to *hard to reach” population, but also can expand sample size and the scope of the study and reduce costs and time (Benefited and Solemn, 2006). Originality’s – The present article is the first that uses Backbone as an instrument to study immigrants. (2005) pointed that the sample composition is influenced by the choice of initial seeds. In fact, some authors demonstrate that the response rate Of online studies depends on personalized contact strategies (Cook et al., 2000), the interest of the individuals on the topic considered (Groves et al., 2004), the incentives and the length of the survey (Animosity and Brig, 2008) and technical factors (Copper, 2000). The use of virtual sampling was combined with an online questionnaire as a complementary tool for Web 2.0 research in behavioural sciences.

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