Introduction: The majority of health system related staffs is nurses. Job satisfaction in the realm of medical and hospital services has always been a matter of interest for researchers, due to that fact the manpower occupied in this field ensures the health of the society. The purpose of this study is to design a pattern of affective factors on job satisfaction of nurses in state hospitals of Ilam. Materials & methods: The present study is a descriptive study, from the view point of content analysis, and a survey. The statistical population of this study includes all the nurses occupied in state hospitals of Ilam city at the summer of 2014, making up for 239 individuals, and the statistical sample, 148 individuals, has been considered randomly as a class in proportion with the size of the population. The study tools include researcher-made questionnaire on job satisfaction made up of 53 questions. The content validity of the questionnaire was confirmed after consulting some of the experts of research methodology, including the revered lecturers, and the stability of the research was calculated using Cronbach’s alpha .937, and in order to analyze the data, the method of explanatory factor analysis and KMO and Bartlet tests in the environment of SPSS software were used. Findings: In this study, using the explanatory factor analysis method and in the framework of a content analysis study and a survey, the factors affecting job satisfaction of nurses in state hospitals of Ilam city were investigated, and the results of the study identified 11 affective factors in nurses’ job satisfaction altogether specifies 70.704 precent of total variance. Discussion & Conclusion: The results of factor analysis showed that the identified factors include: welfare facilities and wages with 32.233 percent of variance explanation, work group with 8.738 percents of variance explanation, interests and job success with 6.923 percents of variance explanation, monitoring and dominant policies in the workspace with 3.792 percent of vaiance explanation, progress and job development with 3.396 percent of variance explanation, discrimination and harassment with 3.121 percent of variance explanation, stress and work-related pressures with 2.814 percent of variance explanation, communication with doctors with 2.708 percent of variance explanation, client satisfaction with 2.570 percent of variance explanation, nature of the work with 2.384 percent of variance explanation, work hours and workload with 2.026 percent of variance explanation.