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A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases

This data article provides research data on the perception of public-sector corruption in Mauritius, captured using a survey questionnaire as well as a thematic framework for the analysis of corruption court cases prosecuted by the national anti-corruption body, namely, the Independent Commission ag...

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Detalles Bibliográficos
Autores principales: Peerthum, Sheilendra, Gunputh, Rajendra Parsad, Luckho, Takesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393465/
https://www.ncbi.nlm.nih.gov/pubmed/32760772
http://dx.doi.org/10.1016/j.dib.2020.106057
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author Peerthum, Sheilendra
Gunputh, Rajendra Parsad
Luckho, Takesh
author_facet Peerthum, Sheilendra
Gunputh, Rajendra Parsad
Luckho, Takesh
author_sort Peerthum, Sheilendra
collection PubMed
description This data article provides research data on the perception of public-sector corruption in Mauritius, captured using a survey questionnaire as well as a thematic framework for the analysis of corruption court cases prosecuted by the national anti-corruption body, namely, the Independent Commission against Corruption (ICAC). A sequential mixed methods design was adopted. First, a quantitative approach was used, whereby a questionnaire was developed and administered on 600 persons to gauge public opinion on the perceived seriousness of the phenomenon of public-sector corruption in the country while at the same time recording citizens’ perceived effectiveness of the ICAC in its fight against public corruption in Mauritius. Second, to cross-validate the quantitative findings on the perceived effectiveness of the ICAC in fulfilling its mandate as an anti-corruption agency, a content analysis of court judgments prosecuted by ICAC from 2002 to 2018, was conducted to find out whether or not the respondents’ perceptions of the prosecutorial efficacy of the ICAC was justified. The questionnaire, the raw dataset as well as the analysis of court judgments can be downloaded from the Mendeley Data repository (https://data.mendeley.com/datasets/h8k5ghvhgh/1). The data may be reused for similar research in other parts of the world. The research findings have been published in The International Journal of Law, Crime, and Justice.
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spelling pubmed-73934652020-08-04 A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases Peerthum, Sheilendra Gunputh, Rajendra Parsad Luckho, Takesh Data Brief Social Science This data article provides research data on the perception of public-sector corruption in Mauritius, captured using a survey questionnaire as well as a thematic framework for the analysis of corruption court cases prosecuted by the national anti-corruption body, namely, the Independent Commission against Corruption (ICAC). A sequential mixed methods design was adopted. First, a quantitative approach was used, whereby a questionnaire was developed and administered on 600 persons to gauge public opinion on the perceived seriousness of the phenomenon of public-sector corruption in the country while at the same time recording citizens’ perceived effectiveness of the ICAC in its fight against public corruption in Mauritius. Second, to cross-validate the quantitative findings on the perceived effectiveness of the ICAC in fulfilling its mandate as an anti-corruption agency, a content analysis of court judgments prosecuted by ICAC from 2002 to 2018, was conducted to find out whether or not the respondents’ perceptions of the prosecutorial efficacy of the ICAC was justified. The questionnaire, the raw dataset as well as the analysis of court judgments can be downloaded from the Mendeley Data repository (https://data.mendeley.com/datasets/h8k5ghvhgh/1). The data may be reused for similar research in other parts of the world. The research findings have been published in The International Journal of Law, Crime, and Justice. Elsevier 2020-07-22 /pmc/articles/PMC7393465/ /pubmed/32760772 http://dx.doi.org/10.1016/j.dib.2020.106057 Text en © 2020 The Author(s) http://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 Social Science
Peerthum, Sheilendra
Gunputh, Rajendra Parsad
Luckho, Takesh
A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title_full A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title_fullStr A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title_full_unstemmed A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title_short A survey dataset on the perception of public-sector corruption in Mauritius and a framework analysis of corruption court cases
title_sort survey dataset on the perception of public-sector corruption in mauritius and a framework analysis of corruption court cases
topic Social Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7393465/
https://www.ncbi.nlm.nih.gov/pubmed/32760772
http://dx.doi.org/10.1016/j.dib.2020.106057
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