Winning at all costs: The etiology of hypercompetitiveness through the indirect influences of parental bonds on anger and verbal/physical aggression.

Hypercompetitiveness reflects the need to compete and win at all costs as a means of maintaining or enhancing one's own self-worth (Horney, 1937; Ryckman, Hammer, Kaczor, & Gold, 1990). This need to win at any cost is linked to expressions of verbal and physical aggression, which may take a toll on important relationships (Hibbard & Buhrmester, 2010). We sought to explore whether parental bonds with mothers and fathers (i.e., care, rejection, autonomy, and overprotection) were indirectly linked to aggression via the mediating mechanisms of hypercompetitiveness and feelings of anger. A sample of 581 university students (316 females; 265 males) were used to examine a multiple-group structural equation model. Tests of structural invariance revealed clear moderation by gender. For instance, the pathway from verbal to physical aggression was stronger for males compared to females. For females only, higher levels of father care were indirectly linked to fewer acts of physical aggression. For both genders, higher levels of mother overprotection were indirectly linked to more acts of physical aggression through increased hypercompetitiveness and, in turn, more feelings of anger. Findings regarding maternal overprotection are consistent with both Evolutionary and Social Learning theories of behavior.

What Makes Users Rate (Share, Tag, Edit )? Predicting Patterns of Participation in Online Communities.

Administrators of online communities face the crucial issue of understanding and developing their user communities. Will new users become committed members? What types of roles are particular individuals most likely to take on? We report on a study that investigates these questions. We administered a survey (based on standard psychological instruments) to nearly 4000 new users of the MovieLens film recommendation community from October 2009 to March 2010 and logged their usage history on MovieLens. We found that general volunteer motivations, pro-social behavioral history, and community-specific motivations predicted both the amount of use and specific types of activities users engaged in after joining the community. These findings have implications for the design and management of online communities.