Modeling of Structural Equation Teachers’ Job satisfaction in Agricultural High School, Mazandaran Province, Iran

مجله اقتصاد و توسعه کشاورزی

Article 2, Volume 28, Issue 3, October 2014, Pages 204-212   

Document Type: Research Article

DOI: 10.22067/jead2.v0i0.26300

Authors

M. Alikhani Dadoukolaei^* ; M. Charmchian Langerodi

Islamic Azad University

Abstract

Job satisfaction is a positive or pleasant emotional state resulting from a person’s appreciation of his/her own job or experience. The study purpose was to model job satisfaction for teachers working in Agricultural institutes within Mazandaran province of Iran. The study used a descriptive-correlative design . The statistical population (including all instructors working for agricultural Institutes within Mazandaran Province of Iran) was es 127 teachers. Using Cochran’s formula, the sample size was estimated at 85 teachers. To increase the viability of the study, the planned sample size was determined att 110 teachers from which 108 teachers completed the questionnaires. The study was conducted using questionnaire. The content validity of the questionnaire was assessed by a group of extension specialists. In order to measure the reliability of research questionnaires, 29 teachers who were randomly selected. completed some questionnaires. Cronbach's alpha, ordinal theta and combination reliability were calculated by 0.95, 0.92 and 0.87 respectively. The results indicate that the magnitude of job satisfaction for %85.2 of instructors working in Agricultural institutes within Mazandaran province was moderate and relatively high. Based on the estimated Structural equation model, the highest effect on the job satisfaction was related to the environmental factor with the path coefficient of 0.64. Motivational factor with the path coefficient of 0.26 had a significant effect on job satisfaction. In addition, the environmental factor with the path coefficient of 0.55 had a significant effect on the Motivational factor.

Keywords

Job satisfaction; instructors; agriculture institute; structural equation model

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