The prediction model of social loneliness based on interpersonal sensitivity and social intelligence with self-critical mediation

The purpose of this study was to predict social loneliness based on interpersonal sensitivity and social intelligence through self-critical mediation. The research design was correlation. The statistical population of this study was all of the students of Azad University of Tehran in 1397. The sample size of this study was 632 people who were selected by multistage cluster sampling. The Data collection tools were loneliness questionnaire (Russell, 1996), an interpersonal sensitivity questionnaire (Boyce & Popper, 1989), Social Intelligence Questionnaire (Tet, 2008) and Self-Critical Scale (Gilbert, Hampson, Miles & Irons, 2004. Data was analyzed with two SPSS and lisrel software. The data analysis method was structural equation modeling. The findings showed that the variables of self-critical and interpersonal sensitivity were significantly increased on these two constructs (T> 1.96). Self-critical effect on positive and significant social self-sufficiency, the effect of interpersonal sensitivity and social intelligence on social self sufficiency is negative and significant. Also, the effect of interpersonal sensitivity on positive and meaningful social loneliness and the effect of social intelligence on self-critical negativity and meaning. The effect of indirect structure of interpersonal sensitivity on social loneliness is positive and significant due to the self-critical variable, but the effect of indirect structure of social intelligence on loneliness is not critical and meaningful due to its own variable. The structural effects of the overall interpersonal sensitivity on social, positive and meaningful loneliness, and structural effects of the whole social intelligence on the loneliness of society are also negative and significant.