Impact of Academic Stress on Career Decision Making and Psychological Well-Being among Adolescents

The purpose of the present study is to investigate the relationship between academic stress, career decision making and psychological well-being among adolescents. The sample consists of 144 students (72 males, 72 females) aged from 18 to 25 years. Resources of this study used were the Academic stress scale given by Rajendran and Kaliappan (1970), the career decision scale given by S.H. Osipow (1970), A short version of Ryff’s Psychological Well-being scale given by Carol D. Ryff (1989). Data was analyzed by using T-test, Correlation, and Regression. The finding of the study shows that the data was analyzed based on gender, it was found that there was no such significant difference between males and females in terms of. The results show the level of Academic stress in male adults (M = 100.20, SD=32.94) and in young female (M=97.43, SD= 32.21). the data was analysed based on gender, it was found that there was a significant difference between males and females in terms of career decision. The results show the level of career decision in young male (M = 43.47, SD=12.59) and young female (M=39.80, SD=10.49). when the data was analysed based on gender, it was found that there is no significant difference between males and females in terms of psychological well-being. The results show the level of psychological well-being in young female (M = 87.05, SD=12.18) and in young male (M=82.83, SD= 14.86). There is a negative correlation, academic stress and psychological well- being, as indicated by the Pearson correlation of -.406 is statistically significant at p<0.01. There is a positive correlation between academic stress and career decision making, as indicated by the Pearson correlation of .324 is statistically significant at p<.001. By using regression, the R square was .192, Significant at 0.00level. This means that career decision making, and psychological well-being impact explains 19.2% of the variance Academic stress can be explained by the career decision making and psychological well-being F- Test 16.79 and P- value of .000 indicates that the overall model is significant.