scholarly journals Emotional Intelligence: A New Variable in Career Decision-Making

Author(s):  
Annamaria Di
2021 ◽  
pp. 089484532110055
Author(s):  
Michaël Parmentier ◽  
Thomas Pirsoul ◽  
Frédéric Nils

This study used a person-centered approach to investigate university students’ profiles of career adaptability and determine whether different combinations of concern, control, curiosity, and confidence could be identified. We also explored the relations of these profiles with emotional intelligence, anticipatory emotions, and career decision-making self-efficacy. We found six distinct profiles of career adaptability among 307 university students who differed both on their level and on shape. Emotional intelligence was associated with profiles displaying higher levels of career adaptability. Furthermore, profiles of career adaptability significantly displayed differences in terms of positive anticipatory emotions at the prospect of the school-to-work transition and career decision-making self-efficacy but not in terms of negative anticipatory emotions. These results highlight that differentiating profiles of career adaptability provide insights for the design and the implementation of career-related interventions among university students.


2018 ◽  
Vol 47 (6) ◽  
pp. 657-670 ◽  
Author(s):  
Ayoung Phang ◽  
Weihua Fan ◽  
Consuelo Arbona

Over the past few decades, researchers have been trying to understand the career decision-making process from interpersonal and affective perspectives. Previous findings suggest that secure attachment is negatively linked to career indecision, but the extent to which other variables mediate this relation is less clear. The present study was designed to identify underlying mechanism in the relation between attachment and career indecision. This was done by examining a model which links secure attachment with career indecision through the mediating role of emotional intelligence. Participants included 362 female undergraduate students from a large Southern University. A path model was tested to investigate (a) the direct association of attachment to three dimensions of career indecision (lack of readiness, lack of information, and inconsistent information) and (b) whether emotional intelligence mediates the relations between attachment and the career indecision dimensions, while controlling students’ age. Results indicated a very good fit for the proposed path model. With two exceptions, results provided support for the study’s hypothesis regarding the direct and mediated links in the model; all paths were in the expected direction. Results of the study provide support for the notion that different antecedents may explain career decision-making difficulties, and therefore, college women may require diverse intervention approaches


2020 ◽  
Vol 19 (1) ◽  
pp. 1-14
Author(s):  
Rose Mini Agoes Salim ◽  
Shahnaz Safitri

It is known that gifted high-school students tend to have difficulty in choosing career due to their wide-range interests and capabilities. In order to successfully making an appropriate career choice, having a high level of career decision making self-efficacy (CDMSE) is an important precondition. CDMSE is the belief in one’s ability to successfully complete the task necessary to make career-related decisions. Of several factors known to be affecting CDMSE, previous study has shown that career decision-making attribution (CDMA) could affect students CDMSE. However, the CDMA effect on CDMSE in gifted student is seemed to be related to personal trait of students, namely emotional intelligence (EI). Therefore, this study aims to examine the moderating role of EI on the impact of gifted high-school student CDMA on CDMSE. Subjects in this study were gifted high school students (N = 165; 52.12% males; M-age = 16.20 years old) in Jakarta. The measurement tools used are CDMSE Scale Short-Form, Assessment of Attribution for Career Decision Making, and Trait Emotional Intelligence Questionnaire Short-Form (TEIQue-SF) adapted into Indonesian language. The data were analyzed using simple regression analysis with Hayes PROCESS model. It was found that there is a direct effect of CDMA on CDMSE with (F (1,163) = 10.6661, p = .0033 < .001), in which CDMA serves as a predictor of CDMSE. We also found that EI can serve as a predictor of CDMSE (F (1,163) = 10.6661, p = .0007<.001. However, EI did not moderate the CDMA-CDMSE relation. Discussion, limitations, and suggestions for further research are listed. 


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