An Empirical Study of Self-Esteem Across Various Factors

This study explores the self-esteem levels across various demographics, specifically focusing on gender, age, caste, and educational qualifications. Analyzed through a well-structured sample of 432 participants, the findings illuminate the nuances of self-esteem distribution among diverse categories. The results show that gender influences self-esteem, with females demonstrating better average self-esteem despite males having higher instances of high self-esteem. Age distribution reveals younger individuals (18-24) possess the highest average self-esteem, while older participants display a notable decline. Caste analysis indicates that individuals from the Other Castes (OC) exhibit the highest self-esteem levels, contrasting against Backward Castes (BC) and Scheduled Castes (SC). The educational qualifications further underscore the implications on self-esteem, with undergraduates reporting higher average ratings compared to those with professional degrees. Statistical assessments, including Chi-square analyses, indicate significant variances in self-esteem levels based on educational qualification, underscoring the predictive power of education on self-perception. This research contributes to understanding the multifaceted nature of self-esteem, offering grounded insights that can inform educational policies and psychological support mechanisms in contemporary settings