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A survey dataset on determinants of administrative corruption
This data article describes a survey dataset on administrative corruption and its main determinants (culture, organizational culture, political instability, and institutional weakness) in addition to social class. Prior research was consulted to determine indicators of the constructs of administrati...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889175/ https://www.ncbi.nlm.nih.gov/pubmed/31828186 http://dx.doi.org/10.1016/j.dib.2019.104820 |
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author | Al-Jundi, Salem A. |
author_facet | Al-Jundi, Salem A. |
author_sort | Al-Jundi, Salem A. |
collection | PubMed |
description | This data article describes a survey dataset on administrative corruption and its main determinants (culture, organizational culture, political instability, and institutional weakness) in addition to social class. Prior research was consulted to determine indicators of the constructs of administrative corruption. Each construct has four reflective indicators while social class has formative variables. All items are measured using a seven-point Likert scale and semantic differential scale types. Through Google Form, I collected 677 responses that reflect the perspective of the general public in Basra, Iraq. The paper shows how to build observed indicators for administrative corruption and its main causes, and a summary of the raw data. The dataset can be reused by other researchers and easily downloaded from the Mendeley Data repository (https://doi.org/10.17632/xh22fsmvmc.2). While the dataset is prepared for building and testing a model using a structural equation modeling approach, it sheds light on the debate regarding an increasingly important topic internationally, and especially in Middle Eastern countries, such as Iraq, that experience high rates of corruption and political instability. |
format | Online Article Text |
id | pubmed-6889175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68891752019-12-11 A survey dataset on determinants of administrative corruption Al-Jundi, Salem A. Data Brief Business, Management and Accounting This data article describes a survey dataset on administrative corruption and its main determinants (culture, organizational culture, political instability, and institutional weakness) in addition to social class. Prior research was consulted to determine indicators of the constructs of administrative corruption. Each construct has four reflective indicators while social class has formative variables. All items are measured using a seven-point Likert scale and semantic differential scale types. Through Google Form, I collected 677 responses that reflect the perspective of the general public in Basra, Iraq. The paper shows how to build observed indicators for administrative corruption and its main causes, and a summary of the raw data. The dataset can be reused by other researchers and easily downloaded from the Mendeley Data repository (https://doi.org/10.17632/xh22fsmvmc.2). While the dataset is prepared for building and testing a model using a structural equation modeling approach, it sheds light on the debate regarding an increasingly important topic internationally, and especially in Middle Eastern countries, such as Iraq, that experience high rates of corruption and political instability. Elsevier 2019-11-16 /pmc/articles/PMC6889175/ /pubmed/31828186 http://dx.doi.org/10.1016/j.dib.2019.104820 Text en © 2019 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 | Business, Management and Accounting Al-Jundi, Salem A. A survey dataset on determinants of administrative corruption |
title | A survey dataset on determinants of administrative corruption |
title_full | A survey dataset on determinants of administrative corruption |
title_fullStr | A survey dataset on determinants of administrative corruption |
title_full_unstemmed | A survey dataset on determinants of administrative corruption |
title_short | A survey dataset on determinants of administrative corruption |
title_sort | survey dataset on determinants of administrative corruption |
topic | Business, Management and Accounting |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6889175/ https://www.ncbi.nlm.nih.gov/pubmed/31828186 http://dx.doi.org/10.1016/j.dib.2019.104820 |
work_keys_str_mv | AT aljundisalema asurveydatasetondeterminantsofadministrativecorruption AT aljundisalema surveydatasetondeterminantsofadministrativecorruption |