ANALYSIS AND MULTINOMIAL LOGISTIC REGRESSION MODELLING OF WORK STRESS IN HEAVY ENGINEERING INDUSTRIES IN KERALA, INDIA

This study examines the influence of factors responsible for work stress among the employees in the heavy engineering industries in Kerala, India. The sample size of the subjects selected for the study consists of 75 Engineers, 110 Supervisors and 675 Workers in the selected heavy engineering industries in Kerala ,India. Seven factors were identified with the existing literatures, and in consultation with safety experts for the evaluation of work stress. The instrument developed by using these factors had validity, unidimensionality and reliability. The response rate was 81.3%. It is observed that existence the factors responsible for work stress among all the categories of employees in these industries. The multinomial logistic regression model developed is found good in predicting the work stress in heavy engineering industries.

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