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항암화학요법을 받는 소아암 환아 가족의 간호 요구도와 간호 만족도
박은정(Park, Eun Jung),정정희(Jeong, Jeong Hee),진성례(Jin, Seong Rye),조은주(Cho, Eun Joo),김주연(Kim, Ju Youn),신지현(Shin, Ji Hyun),허명은(Hur, Myung Eun),서민정(Seo, Min Jung),차은경(Cha, Eun Kyung),노기옥(Noh, Gie Ok) 대한종양간호학회 2017 Asian Oncology Nursing Vol.17 No.2
Purpose: The aim of this study was to explore the nursing needs and satisfaction of pediatric cancer patient families during chemotherapy. Methods: Data collection was conducted from April to July 2016 using the questionnaire of nursing needs and satisfaction developed by the researchers in 123 families of children who were diagnosed with pediatric cancer and undergoing chemotherapy. The collected data were analyzed by descriptive statistics, t-test, and ANCOVA using the SPSS 22.0 program. Results: Nursing needs and satisfaction were 4.27 ± 0.78 and 4.16 ± 0.57, respectively. Significant differences between nursing need and satisfaction were observed in the educational/informational domain (t=3.94, p=<.001) and community resources nursing domain (t=2.16, p=.032). Also, in terms of general characteristics, the nursing needs were significantly different depending on the elapsed time after diagnosis (t=1.98, p=.049), and the nursing satisfaction was significantly different depending on the type of treatment (F=4.02, p=.009). Conclusion: Based on the results of this study, when caring for children who are receiving chemotherapy and their family, it is necessary to develop nursing interventions that meet the individualized nursing needs of those directly and indirectly affected.
양일호,정진우,허명,김영신,김진수,김민경,최현동,오창호,Yang Il-Ho,Jeong Jin-Woo,Hur Myung,Kim Young-Shin,Kim Jin-Soo,Kim Min-Kyung,Choi Hyun-Dong,Oh Chang-Ho 한국초등과학교육학회 2005 초등과학교육 Vol.24 No.5
The purpose of this study was to develop an instrument for analysing elementary secondary school, and university science laboratory instructions. The categories of this analysis instrument were instituted through literature overviews and interactions with three researchers in a science classroom analyst team, a doctoral student, and eight master level students, who participated in the process of modification of the analysis instruments on the science laboratory instructions. The contents areas were divided into three categories: aims of laboratory activities, interactions, and scientific inquiry processes. Each category contains $2\~3$ items. So the instrument consisted of 20 subcategories. The validity of the this instrument was achieved through checking with 4 science education specialists.
뇌파검사 자료를 기반으로 한 과학영재 판별 지수(G-Index) 개발과 적용
김경화(Kyung-Hwa Kim),김규한(Kyu-Han Kim),이선길(Sun-Kil Lee),허명(Myung Hur),김용진(Yong-Jin Kim) 한국영재학회 2005 영재교육연구 Vol.15 No.1
과학영재 판별의 대안적 도구로서의 가능성을 찾아보기 위하여 영재 집단과 일반 집단 의 뇌파검사를 실시하였다. 뇌파의 주성분 공간분석법인 PCA분석 자료의 집단별 차이점 을 이용하여 과학영재 판별지수(Gifted Index: G-Index)를 개발하고 과학영재 판별의 가 능성을 탐색하여 보았더니 76% 수준에서의 판별 효과를 얻을 수 있었다. 또 과학영재 판 별이 가능한 기타 판별도구 성취도들 간의 상관관계를 바탕으로 하여 회귀분석을 시도 한 결과는<Logit(영재여부)=-57.510+(-.018)TTCT검사+(.057)IQ검사+(1.916)장의존/ 장독립검사+(.682)공간지각능력검사+(.088)실험능력평가+(.034)G-Index>로 나타났다. 이를 근거로 한 영재 판별 확률식을 제안하면 P= 1/1+e 와 같고 이 회귀분석식을 적용한 결과 영재 집단 내에서의 판별 가능성이 95% 수준에서 매우 우수하였다. 따라서 과학영재 판별의 대안적 도구로서의 뇌파검사와 G-Index의 유용성을 확인할 수 있었다. In this study we investigated the adequacy of tools for distinction gifted students through the comparison these mutual relation on the basis of data, like paper test, the depths interview score, and the rest data((TTCT: Torrance Tests of Creative Thinking, IQ test, FASP: Find A Shape Puzzle, V.T: Visualization Tests and Exp: experimental ability test), and analysis data of EEG test for examining the adequacy of tools for identification gifted students. So, we developed Brain Wave gifted Index(G-Index) for finding another distinction ability as using brain waves data. The standard of index development use gifted brain characteristic in closed-eyes rest state which is judged like that characteristic of distinction between gifted and normal students is the most clear and consistence. That is, the degree of unified pattern between each object and gifted PCA pattern was defined by Pearson method which added spatial mutual index to weight concept. This refer to mean number of spatial PCA pattern. Searching for the possibility of distinction gifted gave distinction effect in 76%. The result of regression analysis on the basis of mutual relation between the rest data is <Logit(gifted or normal) =-57.510+(-.018)TTCT+(.057)IQ+(1.916)FASP+(.682)V.T+(.088)experiment test+(.034)G-Index>. The probability formula for distinct gifted group is as follow. P= 1/1+e The result of this calculation showed that probability for distinct in gifted group was very good(95.0%). On the basis of upper result, tools for identification gifted students should be estimated as using many-sided estimation data whatever possible. And following study about development, and operation of tools for distinction suitable to gifted student in science should be progressed.