Thesis:

Prediction of academic satisfaction based on personality traits and self-esteem in students of the first secondary level of the 5th district of Mashhad

The present research has been carried out with the aim of predicting academic satisfaction based on personality traits and self-esteem in the students of the first secondary school in the 5th district of Mashhad. The current research is applied research in terms of purpose, quantitative research in terms of what the research is, and descriptive and correlational research in terms of data collection method. In this research, the statistical population consists of all the students of the first secondary level of the 5th district of Mashhad city in the academic year of 1401-1402, whose number is 3000, and 350 students were selected from among them by multi-stage cluster method using Morgan's table. The participants completed Rosenberg's (1965) self-esteem questionnaires, Eyseng's (1975) personality traits, and Huebenz's (2001) academic satisfaction. Finally, the information obtained from the questionnaires was collected and analyzed by the researcher. To analyze the data obtained from the research, SPSS software was used in two levels of descriptive and inferential statistics. At the descriptive level, the mean and standard deviation were used, and at the inferential level, in line with the research hypotheses, which was based on the comparison of scores in the two control and experimental groups, univariate and multivariate analysis of covariance tests were used. The results of the research generally indicated the positive role of self-esteem on academic satisfaction, but the personality characteristics of students could not predict the degree of their satisfaction with education.

Keywords: Key words: academic satisfaction, personality traits, self-esteem