Improving Prediction of Career Adjustment With Measures of Career Development

Seifert, Karl Heinz

doi:10.1002/j.2161-0045.1994.tb00518.x

Cited by 8 publications

(4 citation statements)

References 20 publications

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“…Based on this multivariate comparison, the comments to follow suggest several reasons why the educational and vocational outcomes of students with disabilities are unlikely to improve without significant career development interventions. Seifert (1994) explained that level of career maturity in high school directly affects a student's ability to cope with the psychosocial demands encountered in making the transition into the adult world of work. In this study, much as in Gillespie's (1993), the career decision-making self-efficacy beliefs of special education students are significantly lower than those of their general education peers.…”

Section: Discussionmentioning

confidence: 99%

Students with Disabilities

Ochs

Roessler

2001

Rehabilitation Counseling Bulletin

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Employment success in the 21st century requires that students with disabilities possess career maturity and personal flexibility. Past research, however, has indicated that students with disabilities experience a significant "developmental lag" with respect to career maturity. To determine whether that conclusion still pertained, this study compared the career development levels of 95 special education and 99 general education students. Although both groups had optimistic career outlooks, evidence indicated that special education students had significantly lower scores than their general-education peers on career decision-making self-efficacy, career outcome expectations, career exploration intentions, and vocational identity. Implications of the findings for educational and rehabilitation programming are discussed.

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Section: Discussionmentioning

confidence: 99%

Students with Disabilities

Ochs

Roessler

2001

Rehabilitation Counseling Bulletin

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“…In this questionnaire, the career decision-making component is taken from the Career Maturity Inventory (Seifert, 1986) [ 53 ] and consists of 12 items. The career planning component is taken from the Career Development Inventory (Seifert, 1985) [ 54 ], with 22 items in total. Career exploration consists of two parts, one of which is taken from the Career Development Inventory, with a total of 26 items.…”

Section: Resultsmentioning

confidence: 99%

Career Adaptability Research: A Literature Review with Scientific Knowledge Mapping in Web of Science

Chen

Fang

Fan

et al. 2020

IJERPH

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With the rapid development of society and technology, personal adaptability is becoming more and more important. Learning how to adapt to a changing world is becoming one of the necessary conditions for success. Career adaptability can help individuals to smoothly adapt to changes when coping with their career roles, and maintain their ability to balance their career roles, which will affect their important psychological resources for career development and achieve more meaning in life. In recent years, career adaptability has gradually attracted the attention of researchers. Therefore, in order to explore the main factors, such as research focus, the main researchers, its evolution, and the important results of career adaptability in the last ten years, this study used the scientific knowledge mapping software CiteSpace as a research tool, and select related articles from the Web of Science between 2010 to 2020 under the theme of “career adaptability” for data analysis, which can help future researchers to understand current and future career adaptability research and control the research direction of career adaptability. The results of this research indicate that there are direct or indirect connections between different themes, such as the career adaptability scale, career construction, positive personalities, and so on, but few articles integrate multiple research topics. At the same time, the main researchers, research frontiers and network relationships were also obtained. Based on the above findings, the correlative main concept, theoretical structure, evolution, and research progress of career adaptability in the past ten years are discussed.

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“…A good faculty affiliation and a stable position in professional faculties relieve career anxiety and indecision (Daniels et al 2011;Weinstein et al 2002 ). However, uncertainty in young adulthood occupational expectations results in higher drop-out rates and lower occupational attainment (Seifert 1994;Sikora 2018). Tolerance of career uncertainty plays a great role in career satisfaction and happenstance skills (Kim et al 2016).…”

Section: Related Workmentioning

confidence: 99%

“…The pressures on academic career progress prioritise researchers' early science productivity and impact (Mills and Paulson 2014). The career development tasks of the exploratory stage have an impact on ultimate career stages (Seifert 1994). For biologists, publishing in early career has a significant advantage for future career survival rate (Afonso 2016).…”

Section: Related Workmentioning

confidence: 99%

The strong nonlinear effect in academic dropout

et al. 2019

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Survivability is one of the features for success in contemporary science ecosystem. In this paper, we analyze the publication records of physicists in American Physical Society journals, aiming to identify the career length of each researcher and accordingly investigate the dropout phenomenon in science by the example of physicists. We find that scientific career is a complex nonlinear evolution process and can be generally divided into four stages regarding the dropout rate. In the early career, the dropout rate from trainee phase to maturity is high and negatively correlated with the research performance of the scientists, in both productivity and impact. Moreover, a strong nonlinearity is observed when we study the detailed relationship between the dropout rate and research performance. Interestingly, in the more mature stage of the career, the dropout rate becomes stable and independent of the early performance of the scientists. In the late career stage, the dropout rate increases and is mainly determined by retirement and external factors. The findings in this paper may provide useful guidance for young scholars to allocate their research effort in the early career.

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Improving Prediction of Career Adjustment With Measures of Career Development

Cited by 8 publications

References 20 publications

Students with Disabilities

Students with Disabilities

Career Adaptability Research: A Literature Review with Scientific Knowledge Mapping in Web of Science

The strong nonlinear effect in academic dropout

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