Evaluation of the eight intelligences, and its relationship with organizational commitment: the case study of Islamic Azad University of Kermanshah province

Abstract

Organizational commitment is an attitude. It is a mental state, which indicates a desire, need and obligation to continue employment in an organization. Interests and desires of the heart 's desire to continue to serve the organization and the individual's need for investment in the organization, and have continued to serve in it, and the religious obligation, responsibility or duty that the person is the finds himself obliged to stay another vision, commitment and a sense of belonging and attachment to the organization. The current study aimed to determine the relationship of eight intelligence and organizational commitment among employees of Azad university Kermanshah region, to conduct research, 256 people, the staff, simple random sampling, selection and testing of the eight intelligences Gardner Allen test organizational commitment and Meyer will run on it. After data collection, the research hypotheses using SPSS21 software and Amos21 assessed and evaluated. For the reliability study, Alfa Cronbach coefficient for the validity of face validity and construct validity using factor analysis were used. Pearson correlation methods, and analysis of variance for testing hypotheses, regression techniques and structural equation model was used for evaluation. The results show that, between the two variables (multiple intelligences and levels of employee engagement), there is a significant relationship. The relationship with the 0.19 level at least 0.95 is acceptable. Results of structural equation models and measurements show that the fit is appropriate. The theoretical model developed in the exogenous variables and the latent variables, such as multiple intelligences, as exogenous variables and organizational commitment variables as endogenous latent variables were defined. The chi-square as a bad indicator fitted with 82.147 was calculated.(RMSEA), equal to 0.060, goodness of fit index (CFI) against 0.981, and adjusted goodness of fit index (PCFI) versus 0.678, we can conclude that, when data were largely modeled measuring the structural supports.