AU - Rahimi Pordanjani, Tayebe AU - Mohamadzade Ebrahimi, Ali TI - Identifying of effective factors on job dissatisfaction of primary school teachers in Bojnord city (Factor Analysis research) PT - JOURNAL ARTICLE TA - IOH JN - IOH VO - 14 VI - 4 IP - 4 4099 - http://ioh.iums.ac.ir/article-1-1734-en.html 4100 - http://ioh.iums.ac.ir/article-1-1734-en.pdf SO - IOH 4 ABĀ  - Background and aims: Feel job satisfaction is the most basic components of mental health and an important factor in career success. The aim of this study was identify of effective factors on job dissatisfaction of primary school teachers of Bojnord city. Methods: In this descriptive – correlation study, the population were all primary school teachers that who were working in 2015 (N= 653). 200 teachers were selected by the use of multistage cluster sampling method. Participants in this study were measured by "measuring factors influencing job dissatisfaction questionnaire". In order to analyze the data, the exploratory factor analysis with principal components by use software SPSS-22 and the confirmatory factor analysis by use software AMOS-22 were applied. Results: Principal components analysis using varimax rotation yielded a three-factor solution of improper management (27 items), individual factors (12 items) and lack of welfare agents (9 items) that jointly accounted for 41.07 percent of the total variance. The next step to explain the concept, confirmatory factor analysis was performed. The results showed job dissatisfaction questionnaire building from three construct latent. Indices of confirmatory factor analysis model showed that the model has an acceptable fit. Conclusion: The results of this study showed the importance of improper management, individual factors and lack of welfare agents as the factors that influence on job dissatisfaction of primary school teachers in Bojnord city. Therefore, custodians of educational system in order to the micro and macro planning, should rely on these variables. CP - IRAN IN - University of Bojnord LG - eng PB - IOH PG - 74 PT - Research YR - 2017