Stress Management Analysis Through Mediating Effect
M. Muthumeenakshi1, P. Gohila2, S. Amilan3, P. Muralikrishna4
1M Muthumeenakshi, Department of Commerce, School of Social Sciences and Languages, Vellore Institute of Technology, Vellore. India.
2P Gohila, Department of Commerce, Kathir College of Arts and Science, Coimbatore India.
3S Amilan, Department of Commerce, Karaikkal Centre, Pondicherry University Karaikkal. India.
4P Muralikrishna, Department of Mathematics, Muthurangam Government Arts College, Vellore. India.

Manuscript received on 09 April 2019 | Revised Manuscript received on 17 May 2019 | Manuscript published on 30 May 2019 | PP: 2143-2147 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1927058119 /19©BEIESP
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Abstract: Baron and Kenny (1986) proposed a four-step approach in regression analysis to find out the mediating effect of one variable on other variables. The mediation model helps to examine the observed relationship between dependent and independent variables through the intervene variable known as mediator. Mediating variable explores the known relationship by which one variable influences the other variable through intervening variable. To make it clear, the real data is used for the application of mediating effect in regression analysis on stress management. In the point of application, the study has taken three variables, Organizational Climate (OC) as mediating variable, Person Organization Fit (Po-Fit) as independent variable and Organizational Role Stress (ORS) as dependent variable. The data has been collected from the employees of Original Equipment Manufacturing Units (OEM), Tamil Nadu. The result concluded that PO-Fit influenced ORS with partial mediation of Organizational Climate.
Index Terms: Organizational Climate, Person Organization Fit, Organizational Role Stress, Mediating variable
Scope of the Article: Data Management