Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set
The main objective of this paper is to present the data set which depicts faculty commitment and effectiveness of job responsibilities in a changing world and the moderating role of the university׳s support system. The population of the study consisted all the 1912 Faculty members of six selected pr...
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doaj-b5fde72a13674d1fbe7fc024783e6bd82020-11-25T02:12:46ZengElsevierData in Brief2352-34092018-08-011911201123Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data setH.O. Falola0O.A. Oludayo1D.M. Akinnusi2A.O. Osibanjo3O.P. Salau4Corresponding author.; Department of Business Management, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaDepartment of Business Management, Covenant University, Ota, NigeriaThe main objective of this paper is to present the data set which depicts faculty commitment and effectiveness of job responsibilities in a changing world and the moderating role of the university׳s support system. The population of the study consisted all the 1912 Faculty members of six selected private universities in Southwest, Nigeria [5]. The sample size determination formula by [5] was adopted, resulting in the selection of 400 respondents to whom a structured questionnaire was administered accordingly. Only 343 copies of the questionnaire were valid and used for this data set. Structural equation modeling, which combines factor analysis and multiple regression, was used to present the structural relationship between dependent and independent variables. When the data is analysed, it will help to determine the degree of relationship and the strength of significance between the observed variables and the latent constructs.http://www.sciencedirect.com/science/article/pii/S2352340918306449 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
H.O. Falola O.A. Oludayo D.M. Akinnusi A.O. Osibanjo O.P. Salau |
spellingShingle |
H.O. Falola O.A. Oludayo D.M. Akinnusi A.O. Osibanjo O.P. Salau Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set Data in Brief |
author_facet |
H.O. Falola O.A. Oludayo D.M. Akinnusi A.O. Osibanjo O.P. Salau |
author_sort |
H.O. Falola |
title |
Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set |
title_short |
Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set |
title_full |
Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set |
title_fullStr |
Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set |
title_full_unstemmed |
Faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: A survey data set |
title_sort |
faculty commitment, effectiveness of job responsibilities and the moderating role of institutional support: a survey data set |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2018-08-01 |
description |
The main objective of this paper is to present the data set which depicts faculty commitment and effectiveness of job responsibilities in a changing world and the moderating role of the university׳s support system. The population of the study consisted all the 1912 Faculty members of six selected private universities in Southwest, Nigeria [5]. The sample size determination formula by [5] was adopted, resulting in the selection of 400 respondents to whom a structured questionnaire was administered accordingly. Only 343 copies of the questionnaire were valid and used for this data set. Structural equation modeling, which combines factor analysis and multiple regression, was used to present the structural relationship between dependent and independent variables. When the data is analysed, it will help to determine the degree of relationship and the strength of significance between the observed variables and the latent constructs. |
url |
http://www.sciencedirect.com/science/article/pii/S2352340918306449 |
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