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      중학생들의 진로포부수준,의사결정유형과 진로성숙도와의 관계

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      https://www.riss.kr/link?id=T8935700

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Working with the third graders of high schools, the researcher tried to determine differences among such career-maturity related factors as career aspiration level, types of decision making, and career maturity by their residential areas, gender, kinds of high schools to enter and academic careers and to determine the correlation between career maturity and such variables as academic achievement, career aspiration level and types decision making. The researcher depended on questionnaire research which had been distributed to five co-ed schools located in cities, and gun, South Kyeongsang Province. The following are the findings.
      First, the survey shows that there was a significant difference in educational aspiration level in accordance with the subjects' resident areas, the kinds of high schools for them to wish to enter and academic achievement.
      The educational aspiration levels of subjects is higher in the areas of myeon(county) than the areas of cities(P<.01), and those who are expected to enter academic high schools have a higher educational aspiration level thant than those who are expected to enter vocational high schools in terms of kinds of high schools to enter(P<.001). The students with high academic achievement have a higher educational aspiration level than the students with low academic achievement(P<.001). There was no educational aspiration level by gender.
      Second, there was a difference in vocational aspiration levels by such subjects' variables as gender, kinds of high schools and academic achievement.
      In other words, the female subjects have a higher vocational aspiration than the male subjects, and those expected to academic high schools have a higher vocational aspiration than those expected to vocational high schools, Those with high academic achievement turned out to have a high vocational aspiration(P<.001).
      Third, the survey shows that the types of middle school students making a decision were rational, intuitional and dependent. The first two types turned out to be rather higher than the third type.
      The subjects had a tendency to have a rational type of decision making in case they live in cities(P<.001) or they are girls(P<.05) or they are academic high school students(P<.05). There was no statistically significant difference by area, gender and kinds of high schools in case of the intuitional type. The female subjects tended to make an dependent type of decision making in terms of gender(P<.005).
      Fourth, those living in the areas of myeon and male subjects had a high degree of maturity related to career in terms of residental areas (P<.001) and gender(P<.05).
      Fifth, those subjects with higher academic achievement had more improved type of rational decision making(r=.258, P<.001), but showed a decrease in the intuitional type(r=-.158, P<.01).
      Sixth, the survey with individual variables, academic achievement, career aspiration level and types of decision making as independent variable and with career maturity as an dependent variables reveals that the degree of career involvement was higher(β=.162, P<.01) if the subjects live in the areas of myeon(β=-.253, P<.001), and if they are expected to enter high schools(β=.130, P<.05), and if they make a rational decision(β=.248, P<.001). The subjects turned out to have a higher degree of career determination if they have a low degree of academic achievement(β=-.124, P<.05), and if their decision making is rational(β=.122, P<.01). The subjects turned out to have a lower degree of career determination if their decision making is a dependent type(β=-1.55, P<.01).
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      Working with the third graders of high schools, the researcher tried to determine differences among such career-maturity related factors as career aspiration level, types of decision making, and career maturity by their residential areas, gender, kind...

      Working with the third graders of high schools, the researcher tried to determine differences among such career-maturity related factors as career aspiration level, types of decision making, and career maturity by their residential areas, gender, kinds of high schools to enter and academic careers and to determine the correlation between career maturity and such variables as academic achievement, career aspiration level and types decision making. The researcher depended on questionnaire research which had been distributed to five co-ed schools located in cities, and gun, South Kyeongsang Province. The following are the findings.
      First, the survey shows that there was a significant difference in educational aspiration level in accordance with the subjects' resident areas, the kinds of high schools for them to wish to enter and academic achievement.
      The educational aspiration levels of subjects is higher in the areas of myeon(county) than the areas of cities(P<.01), and those who are expected to enter academic high schools have a higher educational aspiration level thant than those who are expected to enter vocational high schools in terms of kinds of high schools to enter(P<.001). The students with high academic achievement have a higher educational aspiration level than the students with low academic achievement(P<.001). There was no educational aspiration level by gender.
      Second, there was a difference in vocational aspiration levels by such subjects' variables as gender, kinds of high schools and academic achievement.
      In other words, the female subjects have a higher vocational aspiration than the male subjects, and those expected to academic high schools have a higher vocational aspiration than those expected to vocational high schools, Those with high academic achievement turned out to have a high vocational aspiration(P<.001).
      Third, the survey shows that the types of middle school students making a decision were rational, intuitional and dependent. The first two types turned out to be rather higher than the third type.
      The subjects had a tendency to have a rational type of decision making in case they live in cities(P<.001) or they are girls(P<.05) or they are academic high school students(P<.05). There was no statistically significant difference by area, gender and kinds of high schools in case of the intuitional type. The female subjects tended to make an dependent type of decision making in terms of gender(P<.005).
      Fourth, those living in the areas of myeon and male subjects had a high degree of maturity related to career in terms of residental areas (P<.001) and gender(P<.05).
      Fifth, those subjects with higher academic achievement had more improved type of rational decision making(r=.258, P<.001), but showed a decrease in the intuitional type(r=-.158, P<.01).
      Sixth, the survey with individual variables, academic achievement, career aspiration level and types of decision making as independent variable and with career maturity as an dependent variables reveals that the degree of career involvement was higher(β=.162, P<.01) if the subjects live in the areas of myeon(β=-.253, P<.001), and if they are expected to enter high schools(β=.130, P<.05), and if they make a rational decision(β=.248, P<.001). The subjects turned out to have a higher degree of career determination if they have a low degree of academic achievement(β=-.124, P<.05), and if their decision making is rational(β=.122, P<.01). The subjects turned out to have a lower degree of career determination if their decision making is a dependent type(β=-1.55, P<.01).

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      목차 (Table of Contents)

      • 목차
      • SUMMARY
      • I. 서론 = 1
      • 1. 연구의 필요성 및 목적 = 1
      • 2. 연구 문제 = 3
      • 목차
      • SUMMARY
      • I. 서론 = 1
      • 1. 연구의 필요성 및 목적 = 1
      • 2. 연구 문제 = 3
      • 3. 연구의 가설 = 4
      • 4. 용어의 정의 = 4
      • 5. 연구의 제한 = 5
      • II. 이론적 배경 = 7
      • 1. 진로성숙도(Career Maturity) = 7
      • 2. 의사결정유형과 진로포부수준 = 10
      • 3. 선행연구 = 14
      • III. 연구의 방법 및 절차 = 18
      • 1. 연구대상 = 18
      • 2. 조사의 도구 = 18
      • 3. 자료처리 및 분석 방법 = 21
      • 4. 신뢰도 분석 결과 = 22
      • IV. 연구의 결과 및 해석 = 23
      • 1. 조사대상자의 일반적 특성 = 23
      • 2. 가설1의 검증 = 24
      • 3. 가설2의 검증 = 29
      • 4. 가설3의 검증 = 30
      • 5. 가설4의 검증 = 31
      • 6. 가설검증 결과 요약 = 38
      • V. 요약 및 결론 = 41
      • 1. 요약 = 41
      • 2. 결론 및 논의 = 44
      • 참고문헌 = 47
      • 부록 : 설문지 = 49
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