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Heterogeneity in Self-Esteem Development: New Theoretical Insights and Longitudinal Evidence

Thu, April 8, 10:00 to 11:30am EDT (10:00 to 11:30am EDT), Virtual

Session Type: Paper Symposium

Abstract

In the past decades, parents and teachers have become increasingly concerned about raising children’s self-esteem. This is understandable given self-esteem’s role in children’s mental health, social relationships, and academic performance. Yet contemporary theories emphasize that there is more to self-esteem than just how high or low it is. The symposium will integrate new advances in the study of heterogeneity in self-esteem development. It presents four longitudinal studies of self-esteem at different levels of processing (implicit, explicit), across contexts (academic, clinical), and across age groups (from childhood to adulthood).

Paper 1 shows that domain-specific self-evaluations show diverging developmental trajectories. A large-scale meta-analysis (N = 112,204) demonstrates that some domain-specific self-evaluations increase from childhood to adulthood (e.g., social acceptance), whereas others decline (e.g., mathematics). Paper 2 shows that discrepancies between early implicit self-esteem (age 5) and later explicit self-esteem (age 9) predict depressive (but not anxiety) symptoms. Paper 3 extends this work by examining how level and contingency of academic self-esteem emerge in early adolescence (age 12). While level of self-esteem is predicted by parents’ autonomy-supportive involvement and process-oriented feedback (e.g., feedback on children’s efforts and strategies), contingency of self-esteem is predicted by parents’ controlling involvement and person-oriented feedback (e.g., feedback on children’s intelligence). Paper 4 shows that downward social comparisons can cultivate narcissism rather than self-esteem in early adolescence (ages 11-15).

Together, these papers suggest a broadening of a research focus in developmental science to examine heterogeneity in children’s self-esteem. Understanding such heterogeneity will be critical for developing effective intervention tools.

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