Prediction of self-esteem Based on Social Intelligence in Female Students

Raziyeh Ahmadpour Khorrami; Azarmidokht Rezaei

doi:10.63053/ijhes.64

Authors

Raziyeh Ahmadpour Khorrami Master's degree, general psychologist, Islamic Azad University, Marvdasht, Iran,
Azarmidokht Rezaei Assistant Professor, Department of Psychology, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran,

DOI:

https://doi.org/10.63053/ijhes.64

Abstract

The purpose of this research was to predict self-esteem based on social intelligence in female students of Islamic Azad University, Marvdasht branch. The current research method was a descriptive survey of correlation type. The statistical population of this research included all the female students of the Islamic Azad University of Marvdasht. Out of this population, 130 people were selected by cluster sampling. The tools for collecting information were the self-esteem questionnaire and the social intelligence questionnaire. To analyze the data, Pearson's correlation coefficient and multiple regression were used simultaneously. The research results in the first hypothesis showed that there is a significant relationship between social intelligence and self-esteem in female students. The second hypothesis showed that social intelligence and its dimensions can predict self-esteem in female students. According to the results of this research, it is suggested that professional training workshops organized by experts in this field should be held in the university to improve and increase social intelligence and self-esteem in girls.

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