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Present research has been done to study the predictors of career planning among senior secondary school students. The predictors used to determine career planning in this study are self-esteem, academic achievement and vocational aspirations. A Sample of 1000 adolescents studying in senior secondary schools was selected through multistage sampling. Adapted version of Career Maturity Inventory by Gupta (1989) was used to study career planning. Career Maturity Inventory consists of six components i.e. Attitude, Self-Appraisal, Occupational Information, Goal Selection, Planning and Problem Solving. So its Planning component was used to measure the career planning of senior secondary school students. Self-Esteem Inventory by Prasad and Thakur (1977) was used for measuring the self-esteem of senior secondary school students. Marks obtained by students in tenth grade examinations conducted by H.P Board of School Education Dharamshala were considered as their academic achievement.To measure the vocational aspirations of adolescents the vocational aspirations scale was construct by researcher herself. Multiple Regression analysis was applied to find the contribution of self-esteem, academic achievement and vocational aspirations in prediction of career planning of senior secondary school students. The findings of the study revealed that jointly self-esteem academic achievement and vocational aspirations significantly predicts the career planning among senior secondary school students.
Keywords:
career planning, self-esteem, academic achievement, vocational aspirations, senior secondary school students.
Cite Article:
"PREDICTORS OF CAREER PLANNING AMONG SENIOR SECONDARY SCHOOL STUDENTS", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.354 - 357, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307053.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator