Article ID Journal Published Year Pages File Type
6835848 Computers in Human Behavior 2018 36 Pages PDF
Abstract
In recent years, considerable research effort has been directed at the identification of relationships between psychological variables and Facebook usage indicators. However, the identification of homogeneous subgroups of individuals based on similar Facebook usage characteristics still presents a challenge. This study aims: (1) to empirically determine homogeneous groups of Facebook users based on variables regarding their personal experience on Facebook, by using a Latent Class Analysis; and (2) to examine the association between an individual's personality and interpersonal characteristics and the empirically-derived profiles of Facebook usage. Eight hundred and eleven Facebook users (aged from 17 to 61 years) provided data on personality traits, self-esteem, interpersonal difficulties, attachment styles, preference for online social interaction and information on general Facebook use. We found that a three-class model (Mild-users, Committed to Facebook, and Online Socially-Oriented groups) fitted well with our data. Individuals in the Online Socially-Oriented group reported greater openness to experience as well as a greater preference for online social interaction, whereas the individuals in the Committed to Facebook group showed high self-esteem, extraversion and need for approval, as well as low emotional stability. The results of this study provided a more comprehensive picture of individual characteristics associated with the different profiles of Facebook usage.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
, , , , , ,