The Dynamics of Self-Esteem: A Growth-Curve Analysis

Research on adolescent self-esteem has been inconsistent regarding development patterns and processes, with some scholars concluding that self-esteem is a static construct and others concluding that it is a dynamic construct. A potential source of this inconsistency is the lack of attention to intraindividual changes in self-esteem across adolescence and to gender-specific developmental patterns. Building on previous research, we use a growth-curve analysis to examine intraindividual self-esteem changes from early adolescence to early adulthood. Using 7 years of sequential data from the Family Health Study (762 subjects ages 11–16 in Year 1), we estimated a hierarchical growth-curve model that emphasized the effects of age, life events, gender, and family cohesion on self-esteem. The results indicated that age had a curvilinear relationship with self-esteem suggesting that during adolescence self-esteem is a dynamic rather than a static construct. Furthermore, changes in self-esteem during adolescence were influenced by shifts in life events and family cohesion. These processes were different for males and females, particularly during early adolescence.     

Combating child homicide: preventive policing for the new millennium

High-profile media coverage of crimes against children has heightened public awareness of critical child safety needs and issues. However, numerous research studies in the area of child homicide have illustrated the importance of the power of science to correct false perceptions and misinformation, improving how to best serve and protect our children. Age-based analyses of childhood crime patterns have vastly improved how law enforcement and social service practitioners identify, investigate, and resolve child victimization cases. Future protective efforts must involve multiagency and multidisciplinary collaboration. Law enforcement, social service clinicians, educators, and academicians should jointly develop and implement pragmatic and effective prevention, detection, and resolution programs and policies.