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Virtual network sampling method using LinkedIn

Surveying people via the Internet presents both opportunities and challenges. The opportunities include quick access to respondents all over the world enabling fast realization of surveys at low costs. The challenges include a lack of control over both the sampling process and research implementatio...

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Detalles Bibliográficos
Autores principales: Kozłowski, Arkadiusz, Kaliszewski, Adam, Dąbrowski, Janusz, Klimek, Hanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374516/
https://www.ncbi.nlm.nih.gov/pubmed/34430289
http://dx.doi.org/10.1016/j.mex.2021.101393
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author Kozłowski, Arkadiusz
Kaliszewski, Adam
Dąbrowski, Janusz
Klimek, Hanna
author_facet Kozłowski, Arkadiusz
Kaliszewski, Adam
Dąbrowski, Janusz
Klimek, Hanna
author_sort Kozłowski, Arkadiusz
collection PubMed
description Surveying people via the Internet presents both opportunities and challenges. The opportunities include quick access to respondents all over the world enabling fast realization of surveys at low costs. The challenges include a lack of control over both the sampling process and research implementation, as well as low response rates. This article describes a method of obtaining an appropriate sample of people for survey research utilising the power of the Internet, while simultaneously allowing the researcher to minimise risk thanks to enhanced control over the sampling process and the implementation of the survey. The proposed method could be used mainly in economic and social surveys; it allows researchers to reach selected groups of respondents and to conduct surveys on a global scale. • The proposed sampling method uses LinkedIn's network structure to quickly reach a dispersed population; • Creating a list of units belonging to the study population resembles the snowball method, though the units are selected for the sample by the researcher and not indicated by the respondents.
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spelling pubmed-83745162021-08-23 Virtual network sampling method using LinkedIn Kozłowski, Arkadiusz Kaliszewski, Adam Dąbrowski, Janusz Klimek, Hanna MethodsX Method Article Surveying people via the Internet presents both opportunities and challenges. The opportunities include quick access to respondents all over the world enabling fast realization of surveys at low costs. The challenges include a lack of control over both the sampling process and research implementation, as well as low response rates. This article describes a method of obtaining an appropriate sample of people for survey research utilising the power of the Internet, while simultaneously allowing the researcher to minimise risk thanks to enhanced control over the sampling process and the implementation of the survey. The proposed method could be used mainly in economic and social surveys; it allows researchers to reach selected groups of respondents and to conduct surveys on a global scale. • The proposed sampling method uses LinkedIn's network structure to quickly reach a dispersed population; • Creating a list of units belonging to the study population resembles the snowball method, though the units are selected for the sample by the researcher and not indicated by the respondents. Elsevier 2021-05-21 /pmc/articles/PMC8374516/ /pubmed/34430289 http://dx.doi.org/10.1016/j.mex.2021.101393 Text en © 2021 The Author(s). Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Kozłowski, Arkadiusz
Kaliszewski, Adam
Dąbrowski, Janusz
Klimek, Hanna
Virtual network sampling method using LinkedIn
title Virtual network sampling method using LinkedIn
title_full Virtual network sampling method using LinkedIn
title_fullStr Virtual network sampling method using LinkedIn
title_full_unstemmed Virtual network sampling method using LinkedIn
title_short Virtual network sampling method using LinkedIn
title_sort virtual network sampling method using linkedin
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8374516/
https://www.ncbi.nlm.nih.gov/pubmed/34430289
http://dx.doi.org/10.1016/j.mex.2021.101393
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