Özet:

The aim of this research was to investigate the relationship between career decision-making difficulties and career barriers, career decision-making self-efficacy, and decision status of university students. The participants were 426 (284 female, 142 male) university students. Data of the study were collected by using the Career Decision Making Difficulties Questionnaire (CDDQ), Perceived Career Barriers Scale (PCBS), Career Decision Self-Efficacy Scale–Short Form (CDSES-SF), and Personal Information Form. Multiple linear regression analysis was used for data analysis. Correlation values were examined to check whether there was multicollinearity among variables. The analyses propounded that perceived career barriers, career decision-making self-efficacy, and decision status (decision-making / not making) explained 45% of the total variance related to career decision-making difficulties. It was found that decision status was the most important predictor of the total career decision-making difficulties, and lack of readiness, lack of information, and inconsistent information subscales.

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