An Investigation of Long-Distance Relationship Maintenance in Married Individuals in Tehran, 2020

Abstract

Abstract This study investigated relationship maintenance behaviors in a sample of 451 married individuals in Tehran and was conducted as an online survey. Confirmatory factor analysis showed that, unlike intrapersonal and dyadic behaviors, social network behaviors did not have an acceptable factor loading. The regression model showed that dyadic behaviors at all three levels including before separation, during separation, and after separation could positively predict good relationship quality. Individual behaviors during separation and after separation predicted it positively and negatively, respectively. Social network behaviors could not predict relationship quality at any level. The implications of these findings are discussed.