Predicting satisfaction of school based on academic self-efficacy and achievement goals among students

The main object of this study was to Predict satisfaction of school based on academic self-efficacy, and student achievement goals. The research was practical according the purposes, based on the data was quantitative, and In terms of nature was correlational. In the present study population consisted of all students in seventh grade female high school first, Region 4 Education in Tehran. This number includes 11871 students. samples were 373 people by using kocran formula. Measures in this study were school satisfaction (MSLSS) Scott Huebner, self efficacy of students Jerry Jing and Morgan (MJSES) and achievement goals Midgley et al questionnaires. Data collected analyzed by using descriptive statistics (mean, standard deviation) and inferential statistics including Pearson correlation and multiple regression analysis. The Kolmogorov-Smirnov test was used to verify the normality of the study variables. The results obtained from this study shows that, academic self-efficacy, mastery objects and performance objects are able to predict Satisfaction of School.  Accordingly, The academic self-efficacy was able to predict 59% of the variation satisfaction of school score and mastery objects was able to predict 50% percent of the variation school satisfaction score.