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Dataset for field experiments analyzing discrimination in amateur soccer

This paper presents data of field experiments that analyze discrimination in amateur soccer. The studies created fake accounts and asked amateur soccer coaches to come for a trial practice. The fake accounts had either a native- or a foreign-sounding name. The dataset is based on three published stu...

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Detalles Bibliográficos
Autores principales: Nesseler, Cornel, Gomez-Gonzalez, Carlos, Dietl, Helmut, Halser, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718725/
https://www.ncbi.nlm.nih.gov/pubmed/35005143
http://dx.doi.org/10.1016/j.dib.2021.107751
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author Nesseler, Cornel
Gomez-Gonzalez, Carlos
Dietl, Helmut
Halser, Christoph
author_facet Nesseler, Cornel
Gomez-Gonzalez, Carlos
Dietl, Helmut
Halser, Christoph
author_sort Nesseler, Cornel
collection PubMed
description This paper presents data of field experiments that analyze discrimination in amateur soccer. The studies created fake accounts and asked amateur soccer coaches to come for a trial practice. The fake accounts had either a native- or a foreign-sounding name. The dataset is based on three published studies that analyzed discrimination in 23 countries. The dataset contains 24,915 observations and several variables that are interesting for further research. This data can be used to compare discrimination in amateur soccer with discrimination in diverse fields, such as migration, economics, or political science. For a more detailed discussion, please see the published articles.
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spelling pubmed-87187252022-01-06 Dataset for field experiments analyzing discrimination in amateur soccer Nesseler, Cornel Gomez-Gonzalez, Carlos Dietl, Helmut Halser, Christoph Data Brief Data Article This paper presents data of field experiments that analyze discrimination in amateur soccer. The studies created fake accounts and asked amateur soccer coaches to come for a trial practice. The fake accounts had either a native- or a foreign-sounding name. The dataset is based on three published studies that analyzed discrimination in 23 countries. The dataset contains 24,915 observations and several variables that are interesting for further research. This data can be used to compare discrimination in amateur soccer with discrimination in diverse fields, such as migration, economics, or political science. For a more detailed discussion, please see the published articles. Elsevier 2021-12-23 /pmc/articles/PMC8718725/ /pubmed/35005143 http://dx.doi.org/10.1016/j.dib.2021.107751 Text en © 2021 The Authors. Published by Elsevier Inc. 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 Data Article
Nesseler, Cornel
Gomez-Gonzalez, Carlos
Dietl, Helmut
Halser, Christoph
Dataset for field experiments analyzing discrimination in amateur soccer
title Dataset for field experiments analyzing discrimination in amateur soccer
title_full Dataset for field experiments analyzing discrimination in amateur soccer
title_fullStr Dataset for field experiments analyzing discrimination in amateur soccer
title_full_unstemmed Dataset for field experiments analyzing discrimination in amateur soccer
title_short Dataset for field experiments analyzing discrimination in amateur soccer
title_sort dataset for field experiments analyzing discrimination in amateur soccer
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8718725/
https://www.ncbi.nlm.nih.gov/pubmed/35005143
http://dx.doi.org/10.1016/j.dib.2021.107751
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