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Data on perceived excessive workload on faculty members׳ commitment
For this article, the survey data on the effect of perceived excessive workload on faculty members’ commitment was presented. This data was gathered from an academic environment using the full time faculty members of Covenant University. The descriptive research design method was employed. The initi...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138980/ https://www.ncbi.nlm.nih.gov/pubmed/30225312 http://dx.doi.org/10.1016/j.dib.2018.08.132 |
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author | Oludayo, Olumuyiwa A. Akanbi, Comfort O. Falola, Hezekiah O. Aluko, Oluwafisayo A. |
author_facet | Oludayo, Olumuyiwa A. Akanbi, Comfort O. Falola, Hezekiah O. Aluko, Oluwafisayo A. |
author_sort | Oludayo, Olumuyiwa A. |
collection | PubMed |
description | For this article, the survey data on the effect of perceived excessive workload on faculty members’ commitment was presented. This data was gathered from an academic environment using the full time faculty members of Covenant University. The descriptive research design method was employed. The initial sample size used for the analysis was 228 faculty members but only 189 copies of questionnaire were returned. Statistical package for social sciences (SPSS) was used for the coding of the data. The validity and reliability of the research instrument were carried out using Cronbach Alpha. Descriptive analysis was used for the presentation of the data. This data is made publicly available to assist further study in the area of workload and employees commitment. |
format | Online Article Text |
id | pubmed-6138980 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-61389802018-09-17 Data on perceived excessive workload on faculty members׳ commitment Oludayo, Olumuyiwa A. Akanbi, Comfort O. Falola, Hezekiah O. Aluko, Oluwafisayo A. Data Brief Business, Management and Accounting For this article, the survey data on the effect of perceived excessive workload on faculty members’ commitment was presented. This data was gathered from an academic environment using the full time faculty members of Covenant University. The descriptive research design method was employed. The initial sample size used for the analysis was 228 faculty members but only 189 copies of questionnaire were returned. Statistical package for social sciences (SPSS) was used for the coding of the data. The validity and reliability of the research instrument were carried out using Cronbach Alpha. Descriptive analysis was used for the presentation of the data. This data is made publicly available to assist further study in the area of workload and employees commitment. Elsevier 2018-08-31 /pmc/articles/PMC6138980/ /pubmed/30225312 http://dx.doi.org/10.1016/j.dib.2018.08.132 Text en © 2018 The Authors 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 Oludayo, Olumuyiwa A. Akanbi, Comfort O. Falola, Hezekiah O. Aluko, Oluwafisayo A. Data on perceived excessive workload on faculty members׳ commitment |
title | Data on perceived excessive workload on faculty members׳ commitment |
title_full | Data on perceived excessive workload on faculty members׳ commitment |
title_fullStr | Data on perceived excessive workload on faculty members׳ commitment |
title_full_unstemmed | Data on perceived excessive workload on faculty members׳ commitment |
title_short | Data on perceived excessive workload on faculty members׳ commitment |
title_sort | data on perceived excessive workload on faculty members׳ commitment |
topic | Business, Management and Accounting |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6138980/ https://www.ncbi.nlm.nih.gov/pubmed/30225312 http://dx.doi.org/10.1016/j.dib.2018.08.132 |
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