• Journal of Fisheries and Marine Sciences Education
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• v.16 no.1
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• pp.11-20
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• 2004

The purpose of this study was to analyze of career exploration and career decision-making by identity statuses(diffusion, foreclosure, moratorium, achievement) of vocational high school students. The research questions were formulated as follows. (1) Is there a difference in identity statuses by level of the career exploration? (2) Is there a difference in identity statuses by level of the career decision-making? (3) How much identity statuses-identity diffusion, identity foreclosure, identity moratorium, identity achievement-effect to the career exploration and career decision-making? 255 vocational high school students in Pusan were sampled. For the statistical analysis, Oneway, analysis of covariance structure by AMOS 4.0 was applied. The results of the study were as follows. (1) The identity diffusion was low in the level of career exploration, but the identity moratorium and achievement were high in the level of career exploration. (3) The identity diffusion was low in the level of career decision-making, but the identity achievement was high in the level of career decision-making. (4) The identity diffusion effected to negatively career exploration and career decision-making, identity foreclosure effected to low positively career exploration and career decision-making, identity moratorium effected to positively career exploration but negatively career decision-making, identity achievement effected to positively career exploration and career decision-making.

• Journal of vocational education research
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• v.29 no.3
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• pp.291-307
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• 2010

The purpose of this study was to investigate the effects of major satisfaction, career decision efficacy and career attitude maturity of engineering college students to the career decision level. A total of 432 engineering students(male=339, female=96) completed major satisfaction, career decision efficacy, career attitude maturity and career decision level tests. The analysis showed the following findings. First, there are significant correlations among major satisfaction, career decision efficacy, career attitude maturity, and the career decision level. Second, the major satisfaction explained 2% of engineering college students' the career decision level. The career decision efficacy explained 21% of engineering college students' the career decision level. And the career attitude maturity explained 53% of engineering college students' the career decision level. The results of the study suggested that when career guidance and counseling program for the engineering college students, it is important to consider the factors to improve career self-efficacy and career attitude maturity.

• Journal of the Korean Data and Information Science Society
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• v.18 no.4
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• pp.985-994
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• 2007

We note that the time of adolescents is very important time for obtaining informations about their jobs, exploring and making appropriate their career decision. In order to understand the career decision level of adolescents, we needed a study on effects of personal variables and family variables affecting the career decision level. For this, we provide direct, indirect and total effects of family variables and personal variables on the career decision level using the path analysis. Therefore, in this study, we give the real usefulness for making a different diagnosis and strategy solving some problems of career decision level.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.4
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• pp.89-101
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• 2015

In this study, it examined whether recognized career barriers among students of majoring in aviation affected career stress and career decision level, and career stress moderated the impact of career barriers on career decision level. For this purpose, it conducted a survey of aviation-related college students in C university from Sep. 21th. 2015 to Oct. 8th. 2015. A total of 225 questionnaires were analyzed using SPSS 21.0 statistical package program and frequency analysis, factor analysis, reliability analysis, regression analysis, and correlation analysis were conducted. Findings indicated that career barriers partly influenced the career stress and career decision level. Also, career stress had an negative effect on career decision level. Lastly, career stress moderated the impact of career barriers on career decision level. The implication of this paper would be used as a fundamental material to guide for career direction to students majoring in aviation.

• Journal of Fashion Business
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• v.20 no.4
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• pp.36-49
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• 2016

The objective of this study was to examine the effects of appearance management behaviors on career decision level among female college students. Based on previous studies on appearance management behaviors and career decision level, the items for a questionnaire were developed. For the study, we conducted a questionnaire survey among 292 students from women's university in Seoul. Factor analysis, correlation analysis and multiple regression analysis were performed using SPSS statistics 23. Results of this study are as follows. First, the factor structure of appearance management behavior had three factors: 'fashion & hair,' 'skin & plastic surgery,' and 'body shape.' The reliability and validity of the factor structure were proved. Second, a significant correlation was found between sub-factors in appearance management behaviors. Career decision level showed a significant correlation only with body management factor. Third, the appearance management behavior of female college students was found to have a partially significant effect on career decision level. For higher grade students, fashion & hair factor and body shape factor had positive effects on career decision level. For lower grade students, body shape factor had a positive effect on career decision level while skin & plastic surgery factor had a negative effect on career decision level. Therefore, to increase career decision level, managing appearance through keeping fit body shape is crucial. This study also suggests that as one elevates to a higher grade, the importance of management and keeping interest toward fashion is important.

• The Journal of Korean Academic Society of Nursing Education
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• v.22 no.2
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• pp.210-219
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• 2016

Purpose: The purpose of this study was to contribute to career counseling and career guidance for nursing students by examining students' career decision-making styles and career decision levels and the relationship between self-efficacy and career decision-making styles and career decision levels. Methods: A descriptive survey design was used and data were collected using questionnaires from a sample of 469 nursing students. The data were analyzed using frequencies means, Kruskal-Wallis test, Pearson correlation coefficient, and multiple regression analysis with SPSS 21.0. Results: Career decision level had a significant correlation with self-efficacy and decision-making styles. Self-efficacy (${\beta}=.143$, p<.001), type of decision-making styles rational type (${\beta}=.180$, p<.001), intuitive type (${\beta}=.137$, p<.001), dependent type (${\beta}=-.236$, p<.001) and sex (${\beta}=-.086$, p=.023), school grades (${\beta}=.086$, p=.033), and satisfaction of nursing major (${\beta}=.209$, p<.001) were significant predictors of career decision level. Conclusion: It is necessary to develop effective career support programs according to type of decision-making styles, sex, school grades, motivation to improve nursing students' self-efficacy and satisfaction in the nursing major.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.359-368
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• 2019

The study was conducted to understand the effect of major satisfaction of university students majoring public health administration on the career decision level and career preparation behavior by the medium of career decision-making self-efficacy. The analysis result showed that major satisfaction and career decision-making self-efficacy, major satisfaction and career decision level, major satisfaction and career preparation behavior had a statistically significant positive (+) correlation respectively. In addition, the result of a path analysis using AMOS indicated that their major satisfaction level is found to have a direct and indirect effect on career decision level and indirect effect on career preparation behavior, while career decision-making self-efficacy is directly effective against career decision level and career preparation action and major satisfaction exerted an impact on career decision level and career preparation behavior by the medium of career decision-making self-efficacy. Therefore, to improve the level of public health administration university student's career decision and career preparation behavior, systematic and detailed programs and effective plans to improve their major satisfaction and career decision-making self-efficacy will be necessary.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.301-308
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• 2020

The purpose of this study is to describe the mediating effect of career decision level on the relationship between career decision self-efficacy and career preparation behavior of nursing students. The subjects of the study were data collected from 108 nursing students in 3rd and 4th grade and analyzed. The factors affecting career preparation behavior of nursing college students were career decision self-efficacy (β= .54, p<.001) and career decision level (β =.23, p=.009). Career decision-making levels were found to play a partial mediating role in the relationship between efficacy and career readiness behavior (Z=2.49, p=.006). The results of this study suggest that it is necessary to improve the career decision-making self-efficacy and the level of career decision-making for effective career preparation behavior, and it is necessary to develop strategic career guidance and program that reflects this.

• Knowledge Management Research
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• v.22 no.2
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• pp.189-208
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• 2021

The purpose of this study was to identify the effect of education service quality (quality of professor service, quality of curriculum service) on career decision-making, self-efficacy, career decision level, and career preparation behavior. Appropriate measures were developed and tested on 426 respondents of Gyeongnam province in South Korea with a cross-sectional questionnaire survey. To ensure the reliability and validity of the questionnaire, frequency analysis, reliability analysis, and validity analysis were conducted. To ensure the reliability and validity of the measurement model, the CFA(confirmatory factor anlaysis) were conducted. The SEM(structural equation modeling) analysis was undertaken to perform the path analysis among the variables and to assess the suitability of the model. MCFA(multi group CFA) and MSEM(multi group SEM) were performed to confirm the moderation effect. Results of the study are summarized as follows: Firstly, education service quality has positive effects on career decision-making self-efficacy. Second, career decision-making self-efficacy has positive effects on career decision level and career reparation behavior. Third, career decision level has positive effects on career reparation behavior. Finally, it was found there exists a moderating effect of freshman/registered student between education service quality, career decision-making self-efficacy, career decision level, career preparation behavior. As a result of this study, it is suggested that investigation of extraneous variables which help to improve career preparation behavior and career decision level as for career of university student will contribute to university education.

• Journal of the Korea Convergence Society
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• v.3 no.2
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• pp.27-32
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• 2012

The purpose of this study was to find out the effect of self-efficacy, career decision-making styles, and career decision-making level of the college the department of Dental Hygiene 1,2,3 students. The subjects of this study were 106 university students of the department of Dental Hygiene in K university. The instrument employed were the Career Decision Making Self Efficacy Scale, career decision level, career preparation behavior.The data collected were analyzed using Frequency analysis, t-test, Regression analysis and the pearson correlation of the spss 19.0 version.