• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.219-226
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• 2020

This study conducted an online survey of university students based in Jeolla-do province from September 1 to 10, 2020 using Naver survey form to find out the perception and attitude of paramedic students about child abuse. A total of 293 students were studied, and the collected data was analyzed using SPSS WIN 20.0. The analysis of general characteristics, recognition of child abuse reporting obligations and activation plans, and awareness of child abuse education were calculated with frequency and percentage, and the degree of child abuse awareness was calculated by the average and standard deviation. Differences in perception of child abuse behavior based on the general characteristics of respondents were used T-test and ANOVA.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.511-519
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• 2021

This study aimed to identify the effect of job embeddedness and organization attachment on the intention to stay of hospital nurses in the convergence society. The participants were 211 general hospital nurses; data were analyzed using t-test, ANOVA, Pearson correlation, Multiple regression. This study found that: hospital nurses showed higher score at job embeddedness, higher organization attachment, higher scores for intention to stay. The main factors influencing intention to stay were job embeddedness and organization attachment. They explained about 45% of the intention to stay. Thus, it is necessary to allocate tasks and evaluate appropriate to the nurse's ability and support individual and organizational activities that can enhance organizational attachment.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.98-104
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• 2022

The aim of this study was to analyze pilots' safety consciousness and grit level, and the correlations between them. Participants were 142 pilots for pilot qualification (n=78), certification 1 (n=12), and 2 (n=52) level. The data were gathered from questionnaire for safety consciousness and grit scale from April to August 2022. Statistical treatment were processed (by SPSS 21.0 for windows) by descriptive analysis for all variables. One-way ANOVA was processed for analyze pilots' safety consciousness and grit scale by their groups. And the correlations were analyzed for investigating relations between them. Statistical significancy was set as p<.05. The results were as follows. First, pilots' safety consciousness showed higher trend in certification 1, qualification and certification 2 as considerable. The grit scale showed higher trend in qualification, certification 2 and 1 in order. The grit and its subfactor passion showed significance (p<.05). Second, the correlations among factors showed significance(p<.05). Conclusionly, safety consciousness was importantly recognized to the certification 1(F-4/5) pilots and grit to qualification pilots. The limit of this research was in small sample size, although need further study for practical using.

• Journal of the Korean Applied Science and Technology
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• v.39 no.6
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• pp.883-891
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• 2022

This study is a descriptive survey research attempted to verify the effects of strengths knowledge and self leadership on career preparation behavior in nursing students. The subjects of this study were students enrolled in Department of Nursing in G city. Descriptive statistics, t-test, ANOVA, Pearson's correlation analysis and controlled regression analysis were used for data analysis. The results of the study are as follows. Strengths knowledge(𝛽=.464, p<.001), self leadership(𝛽=.512, p<.001) showed a positive effect on career preparation behavior. The study model accounted for 34.1% of career preparation behavior. These findings suggest that measures to increase strengths knowledge and self leadership are needed to promote career preparation behavior of nursing students.

• Proceedings of the KSCN Conference
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• 2004.05a
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• pp.429.1-429
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• 2004

본 연구는 충북지역에서 근무하는 현직 영양사들을 대상으로, 그들의 직무 수행도와, 대학에서 배웠던 전공교과목에 대한 중요도 및 추가로 필요로 하는 교과목에 대하여, 설문지를 통하여 조사한 내용이다. 회수된 설문지는 총 213부였고, 최종 통계처리에 사용된 설문지는 178부였다. 조사기간은 2002년 12월-2003년 1월까지의 2개월 간이었고, 사용된 통계처리 방법은 t-test와 ANOVA 분석 (사후분석으로 Duncan test)이었다.(중략)

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.241-242
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• 2014

이 연구에서는 경찰의 조직적 특성 중 경찰관서의 규모에 따른 직무만족과 이직의도 수준을 비교 분석하고자 하였다. 경찰관서 규모에 따른 직무만족과 이직의도 수준의 차이를 살펴보기 위해 독립변수는 관서규모와 급지, 종속변수는 직무만족과 이직의도로 구성하여 일원변량 분산분석(One-way ANOVA)을 실시하였다. 그 결과 관서규모와 급지 둘 다 직무만족과 이직의도에서 통계적으로 유의한 수준의 차이가 발견되었다.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.187-188
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• 2013

이 연구에서는 경찰의 조직적 특성 중 경찰관서의 규모에 따른 스트레스 수준을 비교 분석하고자 하였다. 경찰관서 규모에 따른 스트레스 수준의 차이를 살펴보기 위해 독립변수는 관서규모와 급지, 종속변수는 생활 스트레스, 직무 스트레스, 외상성 스트레스로 구성하여 일원변량 분산분석(One-way ANOVA)을 실시하였다. 그 결과 관서규모와 급지 둘 다 직무 스트레스와 외상성 스트레스에서 통계적으로 유의한 수준의 차이가 발견되었다.

• Proceedings of the Materials Research Society of Korea Conference
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• 1999.05a
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• pp.57-57
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• 1999

핵연료 펠렛제조공정의 단순화를 위하여 분말을 플라즈마로 용융시킨 후 이를 펠렛몰더에 직접 침적시키는 방법으로 핵연료를 제조하고자 하였다. 침적물의 밀도에 미치는 영향을 관찰하기 위하여 쉬스가스 조성, 플라즈마 동력, 챔버내부압력 및 분말 공급량, 입자크기, 분사관 위치, 분사거리 및 쉬스가스조성 등을 변수로 하였다$^{1)}$ . 실험으로 얻어진 결과는 ANOVA(Analysis of Variance)의 통계적 방법으로 각각의 인자가 밀도에 미치는 영향의 크기뿐만 아니라, 두 가지 이상의 인자가 조합되어 나타나는 영향에 대해서도 분석하였다.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.413-414
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• 2016

연구의 목적은 간호대학생의 영아심폐소생술에 대한 지식, 태도, 수행능력의 정도를 확인하고 그 관계를 분석하기 위함이다. 이 연구에 참여하기를 동의한 간호대학생 151명을 대상으로 자가보고식 설문지를 이용하여 자료를 수집하였다. 자료는 SPSS 21.0 Win을 이용하여 t-test, ANOVA, peason's correlation coefficients을 이용하여 분석 하였다. 영아심폐소생술의 대한 지식과 수행능력, 태도와 수행능력은 긍정적 상관관계가 있었다. 본 연구결과를 토대로 간호대학생들의 영아 심폐소생술 수행능력을 증진시키기 위해 지식과 태도를 강화할 수 있는 반복적 영아 심폐소생술 교육프로그램을 개발할 필요가 있다.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.13 no.9
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• pp.914-921
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• 2001

The objective of this study is to evaluate the design parameters and to develop the cooling and heating load prediction equations of office buildings. The building load calculation simulation was carried out using the DOE-2.1E program. The results of the simulation was used as a data for ANOVA and multiple regression analysis which could develop the load prediction equations.