Parenting Styles and Adolescent Subjective Well-being: A Comparative Study of UP Board and CBSE Board Students.

  • Published In: Indian Journal of Positive Psychology, 2025, v. 16, n. 3. P. 447 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Singh, Deepti; Soni, Rashmi 3 of 3

Abstract

The subjective well-being (SWB) of teenagers is greatly influenced by parenting approaches. This study examines the association between the SWB of teenagers enrolled in Lucknow city's CBSE and UP Board schools and four parenting philosophies: democratic, autocratic, permissive, and uninvolved. Using random sampling, a sample of 200 students-100 from each board-was chosen. ANOVA was used to examine the data in a descriptive quantitative study design. The findings showed that the most prevalent parenting philosophies were autocratic and democratic. The SWB results of CBSE pupils were substantially higher than those of their UP-Board peers (p < 0.05). The educational setting was found to have a substantial impact on SWB, while parenting methods by themselves did not show statistically significant differences (p > 0.05). Higher levels of well-being seemed to be fostered by CBSE schools. The results highlight how parental styles and educational systems work together to influence teenage SWB, providing important information for legislators, educators, and mental health specialists to create focused solutions. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Indian Journal of Positive Psychology. 2025/09, Vol. 16, Issue 3, p447
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2025
  • ISSN:2229-4937
  • Accession Number:188772367
  • Copyright Statement:Copyright of Indian Journal of Positive Psychology is the property of Indian Association of Health, Research & Welfare and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.