Open AccessStress Indicator in Professional Teaching-Perception and Semantic Interpretation
Author(s) -
V. Jothi Francina*,
G. Padmanaban,
S. Vijayanand,
Andy Edwards,
U. Komal
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f8836.038620
Subject(s) - variance (accounting) , multivariate statistics , structural equation modeling , compensation (psychology) , perception , stress (linguistics) , psychology , sample (material) , variables , econometrics , multivariate analysis , interpretation (philosophy) , statistics , regression analysis , work (physics) , social psychology , computer science , mathematics , engineering , linguistics , accounting , economics , mechanical engineering , philosophy , chemistry , chromatography , neuroscience , programming language
The purpose of this study was to obtain the form of parameter estimates and the form of estimation of fit models on the work stress of private college professors in Salem region. The method used in this study is to use the analysis of Structural Equation Modeling (SEM) based on variance, namely Partial Least Square (PLS) to find out the truth of the theoretical concept of the factors that influence work stress. PLS is a powerful analytical method because the method is not based on the number of assumptions where such data does not have to be a normal multivariate distribution and the sample does not have to be large. Silahturahmi variables become intervening variables that can mediate compensation variables against work stress variables. These results can be translated that the work stress experienced by private college professors caused by low compensation can be prevented by good silahturahmi between principals and private college professors