TY - GEN
T1 - Exploring Significant Family Income Ranges of Career Decision Difficulties of Adolescents in Bangladesh Applying Regression Techniques
AU - Satu, Md Shahriare
AU - Ahamed, Sharif
AU - Chowdhury, Asive
AU - Whaiduzzaman, Md
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in Bangladesh. The goal of this work to explore the most affected class of adolescents about career decision difficulties considering family income ranges in Bangladesh. In this situation, we gathered several records of high school going adolescents at Faridganj, Chandpur, Bangladesh using career decision difficulties questionnaire which was proposed by I. Gati et. al. Hence, several regression algorithms were considered for experimental analysis based on the characteristics of our primary career decision difficulties dataset. After that, these algorithms were applied into career decision difficulties dataset of adolescents and explored the best regression algorithm based on experimental results from them. Then, our selected best algorithm was implemented throughout different datasets (split from primary dataset) and interpreted their findings. Finally, we observed that middle level family income ranges (10000-21000 BDT) of adolescents were faced more difficulties to take proper decision about career than others. This analysis is suggested as a complementary tool for further psychological treatment about career decisions.
AB - Career Decision Making is essential part of human life. Most of the people are thinking about this since adolescence. Therefore, we should analyze significant features about career decision difficulties of adolescents in Bangladesh. The goal of this work to explore the most affected class of adolescents about career decision difficulties considering family income ranges in Bangladesh. In this situation, we gathered several records of high school going adolescents at Faridganj, Chandpur, Bangladesh using career decision difficulties questionnaire which was proposed by I. Gati et. al. Hence, several regression algorithms were considered for experimental analysis based on the characteristics of our primary career decision difficulties dataset. After that, these algorithms were applied into career decision difficulties dataset of adolescents and explored the best regression algorithm based on experimental results from them. Then, our selected best algorithm was implemented throughout different datasets (split from primary dataset) and interpreted their findings. Finally, we observed that middle level family income ranges (10000-21000 BDT) of adolescents were faced more difficulties to take proper decision about career than others. This analysis is suggested as a complementary tool for further psychological treatment about career decisions.
KW - Adolescent
KW - CDD
KW - CDDQ
KW - Family Income Range
KW - Regression
UR - http://www.scopus.com/inward/record.url?scp=85064636364&partnerID=8YFLogxK
U2 - 10.1109/ECACE.2019.8679415
DO - 10.1109/ECACE.2019.8679415
M3 - Conference contribution
AN - SCOPUS:85064636364
T3 - 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019
BT - 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Electrical, Computer and Communication Engineering, ECCE 2019
Y2 - 7 February 2019 through 9 February 2019
ER -