• Ridhima Dhar
• Dr. Ratna Dixit Sharma

This study investigated the role of various parental factors in influencing academic anxiety among school-going students across India. Using a sample of 856 students from ten different states, the research employed quantitative methodology, specifically regression analysis, to evaluate the impact of specific parental characteristics on academic anxiety. The study utilized a stratified random sampling approach to ensure a representative sample from the diverse population across different states. The dependent variable was academic anxiety, while the independent variables included the father’s age, mother’s age, father’s qualification, mother’s qualification, father’s occupation, mother’s occupation, parental guidance, and parental support. Data was collected through structured questionnaires and the results have revealed that the occupations of both the father and mother, as well as parental guidance, did not significantly influence academic anxiety levels. In contrast, significant predictors included the father's and mother's ages, qualifications, and the level of parental support provided to the students. These findings suggest that while certain demographic factors, such as parental occupations and guidance, may not directly affect academic anxiety, other factors, particularly parental age and educational background, play a crucial role, thereby, underscoring importance of a supportive environment and well-educated parents in mitigating academic anxiety.

Academic anxiety, Parental factors, School-going students India, Quantitative methodology ,Regression analysis, Stratified random sampling

"Impact of Parental Characteristics on Academic Anxiety in Indian Students", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.d640-d650, December-2024, Available :http://www.jetir.org/papers/JETIR2412380.pdf

"Impact of Parental Characteristics on Academic Anxiety in Indian Students", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppd640-d650, December-2024, Available at : http://www.jetir.org/papers/JETIR2412380.pdf