A Case Study on Career Decision Making Difficulties and a Prototype Implementation of a Solution

Abstract

Career Decision Making is essential for the human beings to become a successful human being. Most of the people are thinking about this kind of planning since their childhood. In Bangladesh, there are needed to analyze significant features of career decision making like many other countries around the world. The goal of this work to investigate significant features which are responsible to increase decision difficulties factors considering the family income of adolescents. In this situation, we gathered adolescent records of high school going adolescents at Faridganj, Chandpur, Bangladesh using Career Decision Difficulties Questionnaire (CDDQ) which is proposed by I. Gati et. al. In addition, our primary dataset was splitting into 18 datasets based on 3 major CDDQ categories and 6 individual family income ranges. Thus, 10 regression algorithms were applied in our primary dataset and find out the best regression algorithm from them. After that, our selected best algorithm was implemented throughout 18 different datasets and interpreted these findings. In this experiment, we finally observed that adolescents of middle-class families are faced more career decision difficulties than high-and low-class families. We suggest this analysis as a complementary tool for further psychological treatment about career decisions.