career assessment
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2022 ◽  
pp. 7-23
Author(s):  
Rodney L. Lowman
Keyword(s):  

2021 ◽  
Vol 9 (11) ◽  
pp. 131-140
Author(s):  
Peter Firkola

This paper provides an overview of career assessment tools. Background on key career concepts is first introduced. A number of career assessment tools are then examined. These assessment tools included reviewing personal history, interest inventories, values assessments, personality assessments, and aptitude tests. The importance and limitations of these career assessment tools are then discussed.


Author(s):  
Peter McIlveen ◽  
Harsha N. Perera ◽  
Jason L. Brown ◽  
Michael Healy ◽  
Sara Hammer

Career assessment is inherent in the professional practices of career development. Career assessment has its scientific, technical, and aesthetic foundations in applied psychology and education. It takes the forms of objective or subjective observation of another—a student or client—or reflectively of self. Assessment enables the practitioner, researcher, client, and student to conceptualize behaviour essential to performing acts of career development, such as identifying vocational interests, decision-making, and making meaning in diverse contexts of education and work. Its utility in higher education is demonstrated by examples of qualitative and quantitative methods of career assessment focused on employability. Considerations are given to the future potential and limitations of career assessment.


2020 ◽  
Author(s):  
Dede Rahmat Hidayat ◽  
Robbani Alfan

This study was a meta-analysis of the effectiveness of technology-based career interventions. Meta-analysis was performed using Cohen’s effect size in 10 experimental research results in The Career Development Quarterly, Journal of Career Assessment, Journal of Career Development, Journal of Psychologists and Counselors in Schools published between 1988 – 2018. Participants in the studies were children and/or adolescents ranging from kindergarten through to adults of 25 years. The calculations show the modest effect (d= 0.305). It shows that technology-based career intervention has diverse effectiveness to measure any career-related variable. Keywords: meta-analysis, technology-based career intervention, career development


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