Abstract
As the phenomenon of loneliness becomes ever so prominent, it is important to investigate it in relation to individual differences and mental disorders. Specifically, this paper aims at investigating introversion-extraversion as a predictor of three-factor concept of loneliness (intimate, relational, collective), and in turn loneliness as a predictor of both depression and anxiety. Regression analysis and structural equation modeling will be employed to analyze the survey data of 108 participants. Regression analysis shows how introversion presents lower scores in every level of loneliness, and all dimensions of loneliness predict depression, but only intimate loneliness predicts anxiety. SEM observing these relationships simultaneously shows the model to be a good fit for the data. Applications of results vary considerably, from distinguishing differential social connectedness based on personality, and personality and social connectedness as valid predictors of mental disorders. Future directions and limitations are also discussed.