Thesis:

Predicting resilience based on self-esteem, spiritual intelligence and social support in veterans over 50% of Sabzevar city

The aim of the present study was to predict resilience based on self-esteem, spiritual intelligence and social support in veterans above 50% in Sabzevar city. The research is of applied type in terms of purpose and descriptive-correlational type in terms of implementation method. The statistical population includes all veterans above 50% in Sabzevar city, which number 130 people. The statistical sample according to Morgan table is 100 veterans above 50% in the city, which were collected using the available sampling method and the Connor and Davidson (2003) resilience questionnaire, Eysenck (1974) self-esteem and Abdullah Zadeh's spiritual intelligence (2009) and Phillips' social support (1986) questionnaire. Inferential and descriptive statistical methods were used to analyze the data. Descriptive statistics were used to examine the mean and standard deviation of the research variables, and inferential statistics were used to analyze the research hypotheses, which included Pearson's correlation coefficient and multiple and single-variable regression modeling using SPSS24 software. The results showed that self-esteem, spiritual intelligence, and social support have a positive and significant relationship with resilience, and the existence of a significant relationship was confirmed based on the Pearson correlation coefficient. Since its significant level is less than 5%, we conclude that these variables have a positive and significant relationship with resilience, meaning that high levels of self-esteem, social support, and spiritual intelligence correspond to high levels of resilience. As a result, if a person has high self-esteem, spiritual intelligence, and social support, his resilience is also high, and as a result, this relationship is confirmed and significant. The aim of the present study was to predict resilience based on self-esteem, spiritual intelligence and social support in veterans above 50% in Sabzevar city. The research is of applied type in terms of purpose and descriptive-correlational type in terms of implementation method. The statistical population includes all veterans above 50% in Sabzevar city, which number 130 people. The statistical sample according to Morgan table is 100 veterans above 50% in the city, which were collected using the available sampling method and the Connor and Davidson (2003) resilience questionnaire, Eysenck (1974) self-esteem and Abdullah Zadeh's spiritual intelligence (2009) and Phillips' social support (1986) questionnaire. Inferential and descriptive statistical methods were used to analyze the data. Descriptive statistics were used to examine the mean and standard deviation of the research variables, and inferential statistics were used to analyze the research hypotheses, which included Pearson's correlation coefficient and multiple and single-variable regression modeling using SPSS24 software. The results showed that self-esteem, spiritual intelligence, and social support have a positive and significant relationship with resilience, and the existence of a significant relationship was confirmed based on the Pearson correlation coefficient. Since its significant level is less than 5%, we conclude that these variables have a positive and significant relationship with resilience, meaning that high levels of self-esteem, social support, and spiritual intelligence correspond to high levels of resilience. As a result, if a person has high self-esteem, spiritual intelligence, and social support, his resilience is also high, and as a result, this relationship is confirmed and significant.

Keywords: The aim of the present study was to predict resilience based on self-esteem, spiritual intelligence