Subject recommended samples: snowball sampling

Isaias, Pedro, Pifano, Sara and Miranda, Paula (2013). Subject recommended samples: snowball sampling. In Pedro Isaias and Miguel Baptista Nunes (Ed.), Information systems research and exploring social artifacts: approaches and methodologies (pp. 43-57) Hershey, PA, United States: IGI Global. doi:10.4018/978-1-4666-2491-7.ch003


Author Isaias, Pedro
Pifano, Sara
Miranda, Paula
Title of chapter Subject recommended samples: snowball sampling
Title of book Information systems research and exploring social artifacts: approaches and methodologies
Place of Publication Hershey, PA, United States
Publisher IGI Global
Publication Year 2013
Sub-type Research book chapter (original research)
DOI 10.4018/978-1-4666-2491-7.ch003
Open Access Status Not Open Access
Year available 2012
ISBN 9781466624917
9781466624924
1466624914
Editor Pedro Isaias
Miguel Baptista Nunes
Chapter number 3
Start page 43
End page 57
Total pages 15
Total chapters 20
Language eng
Abstract/Summary In a research project, the selection of the sample method is crucial, since it has repercussions throughout the entirety of the study. It determines how the population under scrutiny will be represented and with what accuracy. Hence, it has an important impact in terms of the reliability and validity of the research in general, and consequently, its conclusions. This chapter aims to explore snowball sampling as a chain-referral sampling method. An introductory review of the relevant literature highlights its main characteristics, benefits, and shortcomings, and provides a broader insight to circumstances where it can be successfully applied. This theoretical prologue is followed by the analysis of its employment in an online questionnaire and the presentation of the lessons learned from this sampling decision.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Book Chapter
Collection: Institute for Teaching and Learning Innovation Publications
 
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Created: Tue, 22 Nov 2016, 03:54:34 EST by Pedro Isaias on behalf of Institute for Teaching and Learning Innovation