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Study on Subjectivity of Fire Fighter

소방공무원의 주관성에 관한 연구

  • Kim, Jee-Hee (Department of Emergency Medical Technology, Kangwon National University) ;
  • Lee, Jei-Young (Department of Public Relation, Kwandong University) ;
  • Kim, Dong-Ok (Department of Emergency Medical Technology, Woosong University) ;
  • Hyun, Hye-Jin (Department of Nursing, Kangwon National University) ;
  • Byeon, Do-Hwa (Department of Emergency Medical Technology, Kangwon National University) ;
  • Rho, Sang-Gyun (Department of Emergency Medical Service, Sunmoon University) ;
  • Lee, Jung-Hyun (Department of Aircraft Service Management, Howon University)
  • 김지희 (강원대학교 응급구조학과) ;
  • 이제영 (관동대학교 광고홍보학과) ;
  • 김동옥 (우송대학교 응급구조학과) ;
  • 현혜진 (강원대학교 간호학과) ;
  • 변도화 (강원대학교 응급구조학과) ;
  • 노상균 (선문대학교 응급구조학과) ;
  • 이정현 (호원대학교 항공서비스학과)
  • Received : 2011.08.26
  • Accepted : 2011.10.06
  • Published : 2011.10.31

Abstract

This study was carried out by practical method in a subjectivity study accessible in-depth, in sloughing off old habit of functional quantity analysis about a subjectivity of fire-public servant in nation. The perception pattern come out in this study were divided into four types in Q-methodology. The result is as follows ; it is divided into 1[(N=26) : Occupational Type], 2[(N=11) : Experience Type], 3[(N=1) : Human Type], 4[(N=2) : Justice Type]. There are four types of fire fighter images. In conclusion, this study is to ascertain acceptance behavior about Reception Type on a subjectivity of fire-public servant in nation ; to offer a developmental suggestion about it.

본 논문에서는 해당 실무자들이 본 소방공무원들의 주관성을 진단하고, 기능적인 측면에서 세부적인 유형적 효과요인들을 확인하여 향후 개선과 방향성을 알아보고자 한다. 이 논문에서는 소방공무원들, 즉 해당 실무자들의 주관적 성향을 살펴보기 위해서 Q방법론을 이용하였다. 분석된 결과, 총 4가지의 유형, 즉, 제 1유형[(N=26) : 직업형 (Occupational Type)], 제 2유형[(N=11) : 경험형(Experience Type)], 제 3유형[(N=1) : 인간형(Human Type)], 제 4유형 [(N=2) : 정의형(Justice Type)] 등으로 분류되었다. 또한 QUANL 프로그램을 실시해 본 결과, 전체변량의 약 50(0.4972)%를 보여줌으로써 높은 설명력을 보여주었다. 결과적으로, 앞으로 계량적인 실증적 연구와 소비자들의 의견을 종합한 비교와 대안책이 추가된다면, 소방공무원들의 주관성에 관한 보다 심도 있는 연구결과가 제시될 수 있을 것으로 예상된다. 또한, 이러한 연구의 한계를 보완하는 후속연구가 지속적으로 진행되어지기를 기대한다.

Keywords

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