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Comparative Study
| Published: February 15, 2017
Personality Traits and Performance: A Perception Study In Respect of Faculty in Academic Disciplines
Associate Professor & Head, M.Phil/PhD Programmes, Indian Institute of Social Welfare & Business Management, India Google Scholar More about the auther
DIP: 18.01.081/20170402
DOI: 10.25215/0402.081
ABSTRACT
The present study investigates the impact of personality in terms of Big Five traits on faculty job performance in the areas of academics. An empirical research has been conducted with the help of personal interviews and close ended questionnaire (for members of faculty) on the basis of 5 components of personality traits and their impact on job performance. After collecting data from 178 faculty members working in a number of educational institutes throughout eastern India through questionnaire survey, Factor analysis has been used to analyze the data with the help of SPSS software and to identify the most significant factors most influencing traits with respect to their performance. For this purpose a principal component analysis with Varimax rotation was conducted on 5 items. A Reliability analysis also has been used with the help of Cronbach’s alpha to check the Reliability of the test. Multiple Regression Analysis has been used to identify influence level of those personality traits on performance. In a concluding initiative, a strategic framework has been designed with the help of Bayesian Probabilistic Network. This study is significant as it helps in policy implementation in terms of academic performance.
Keywords
Personality, Traits, Performance, Perception, Faculty, Academic Disciplines
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2017 Mitra D
Received: January 16, 2017; Revision Received: February 09, 2017; Accepted: February 15, 2017
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.081/20170402
10.25215/0402.081
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Published in Volume 04, Issue 2, January-March, 2017