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Journals / Türk Psikolojik Danışma ve Rehberlik Dergisi / 2021 / Cilt: 11 - Sayı: 60

Predicting Career Decision-Making Difficulties: The Role of Barriers, Self-Efficacy, and Decision Status

Neslihan SALMAN
Adnan KAN
Pages
49–66
Publication Date
2021-03-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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.
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Key Findings & Data:The participants were 426 (284 female, 142 male) university students.
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Conclusion & Impact: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.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:University Students · Career Decision-Making Difficulties · Career Barriers

Abstract

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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Cite This Article

SALMAN, N., KAN, A. (2021). Predicting Career Decision-Making Difficulties: The Role of Barriers, Self-Efficacy, and Decision Status. Türk Psikolojik Danışma ve Rehberlik Dergisi, Cilt: 11 - Sayı: 60, 49–66. https://ajindex.com/articles/116592

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References (4)

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