Data on perceived excessive workload on faculty members׳ commitment

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...

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Main Authors: Olumuyiwa A. Oludayo, Comfort O. Akanbi, Hezekiah O. Falola, Oluwafisayo A. Aluko
Format: Article
Language:English
Published: Elsevier 2018-10-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340918309843
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spelling doaj-759fabd3f87747cc98e659b98a26baea2020-11-24T21:50:06ZengElsevierData in Brief2352-34092018-10-0120986990Data on perceived excessive workload on faculty members׳ commitmentOlumuyiwa A. Oludayo0Comfort O. Akanbi1Hezekiah O. Falola2Oluwafisayo A. Aluko3Department of Business Management, Covenant University, Ota, NigeriaDepartment of Economics, Bowen University, Iwo, Nigeria; Corresponding author.Department of Business Management, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaFor 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. Keywords: Workload, Organization, Commitment, Faculty membershttp://www.sciencedirect.com/science/article/pii/S2352340918309843
collection DOAJ
language English
format Article
sources DOAJ
author Olumuyiwa A. Oludayo
Comfort O. Akanbi
Hezekiah O. Falola
Oluwafisayo A. Aluko
spellingShingle Olumuyiwa A. Oludayo
Comfort O. Akanbi
Hezekiah O. Falola
Oluwafisayo A. Aluko
Data on perceived excessive workload on faculty members׳ commitment
Data in Brief
author_facet Olumuyiwa A. Oludayo
Comfort O. Akanbi
Hezekiah O. Falola
Oluwafisayo A. Aluko
author_sort Olumuyiwa A. Oludayo
title Data on perceived excessive workload on faculty members׳ commitment
title_short 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_sort data on perceived excessive workload on faculty members׳ commitment
publisher Elsevier
series Data in Brief
issn 2352-3409
publishDate 2018-10-01
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. Keywords: Workload, Organization, Commitment, Faculty members
url http://www.sciencedirect.com/science/article/pii/S2352340918309843
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AT oluwafisayoaaluko dataonperceivedexcessiveworkloadonfacultymemberscommitment
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