• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1475-1480
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• 2014

This article analyzes the academic achievement of students who entered A university from 2011 to 2012 using grade point average (GPA). The purpose of this analysis is to find the relationship between admission factors and academic achievement. Contrary to our expectation, GPA of student selected from KSAT is higher than that of selected from CSAT. So, designing and running university entrance type, it is necessary to consider admission factors deliberately.

• The Korean Journal of Financial Management
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• v.19 no.2
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• pp.111-134
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• 2002

본 연구에서는 건설업종에 특화된 신용평가 모형을 개발하여 건설업종에 대한 부도 예측력를 제고하고자 하였다. 건설업은 여타 업종과는 다른 재무적 특성을 지니고 있다. 특히, 재무적 안정성이 취약하고 자산의 대부분이 매출채권, 재고자산으로 구성되어 유동성이 극히 낮은 실정이다. 본 연구는 이러한 건설업종의 특성을 충분히 감안한 신용평가 모형을 개발하고자 한것이다. 신용평가 모형 중 그 현실적 유용성이 높아 많이 이용되어 오던 신용평점 모형을 개발하였다. 총 2,475개 건설업체를 대상으로 모형구조 및 각종 계량지표 및 비계량지표에 대한 분석을 주로 평균차이 검증과 로짓분석에 의거 선정하였다. 그 결과 새로운 신용평점 모형은 매출액 경상이익률, 총 현금흐름 대 차입금 비율 등 9개의 재무지표와 5분류의 비재무지표로 구성되었다. 이 모형을 기존의 신용평점모형과 비교한 결과 신규모형의 변별력이 높은 것으로 나타났다. 본 연구가 제시한 신용평점모형과 그 개발 방법이 향후 금융기관들의 부실을 줄이고 결과적으로 수익성을 개선하는데 일조하리라 기대된다.

• 한국노년학
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• v.25 no.2
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• pp.143-154
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• 2005

This study was conducted to examine the environmental status, FIM(Function Independence Measure), Illness intrusiveness of home stayed stroke patients. Data were collected on 145 patients living in K city and the neighborhood located in southern part of Korea. The data were analyzed by means of SPSS program. Results : In assessment of environmental safety, 46.2%(67) felt unsafe around their residential area. The most dangerous facilities in their residence was stairs(58.2%), gas/electric facilities(14.9%). For sanitary problems, 28.2%(41) felt they have problems at their home. The most important problems were outdoor polluted toilet(22.0%) and scattered and dirty residential circumstances(22.0%). The average FIM score was 74.52(4.14) of total score 126(7). In motor area FIM was lowest at stair walking(3.01) and bathing(3.16). In cognitive area FIM was lowest at social activities(3.36). The mean score of Illness intrusiveness was 58.86(4.52) of total score 91(7). The major area largely impacted by stroke were health(5.61), working(5.68), active leisure activities(5.56). There was significant reverse correlation between FIM and illness intrusiveness(r=-0.66, p=0.00). Conclusion : It was needed environmental improvement and rehabilitation program for stroke patients, and repeated follow up study.

• Korean Journal of Occupational Health Nursing
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• v.1
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• pp.30-51
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• 1991

본 연구는 산업간호사가 수행하는 산업간호업무 수행실태를 파악하고 업무수행에 영향을 미치는 요인이 무엇인지를 직무만족도와 지식의 측면에서 조사 분석하기 위한 목적으로 이 연구를 시도하였다. 연구방법은 1991년 4월 26일 부터 5일 3일까지의 총 8일간 서울시내에 소재하고 있는 사업체의 산업간호사 77명을 대상으로 연구자와 조사자 1명이 직접방문을 하여 자료수집 하였다. 자료는 SPSS를 이용하여 전산처리 하였다. 실수와 백분율, 평균 표준편차를 구하였으며, Pearson Correlation Coefficient, ANOVA 분석방법올 활용하였다. 본 연구의 결과는 다음과 같다. 1. 산업 간호업무 수행 정도는 근로자건강관리업무 중의 통상질환관리 업무를 대상자의 97.6%가 실시하여 수행정도가 가장 높았고, 가장 수행정도가 낮은 업무는 근로자복리중 진업무로 대상자의 40.2%만이 실시하고 있었다. 산업환경위생관리업무(실시율 45.5%), 직업병 관리업무(실시율 43.1%), 산업보건교육업무(실시율41.5%)로 역시 낮은 실시율을 보였다. 2. 산업간호사 직무만족도는 최대가능점수 240점에 대하여 점수 143.8점이며 최대평점 5점에 평점 3.0으로 나타났고 상호작용, 전문적위치, 자율성면에서 3.4점으로 높았으며 보수에 관한 만족도는 평점 2.3으로 가장 낮아 산업간호사들이 보수에 대해 불만족하고 있는 것으로 나타났다. 3. 산업간호사의 산업간호업무 관계지식정도는 최대가능점수 21점에 대하여 점수 17.9점을 나타내었다. 영역별로 가장 많이 알고 있는 지식은 건강관리실운영업무 관계지식으로 정확하게 알고있는 사람이 63명으로 전체의 81.4%이었고, 가장 낮게 알고 있는 지식은 산업환경위생관리 업무 관계지식으로 정답자는 42명(54.2%)이었다. 4. 산업간호업무 수행정도와 직무만족도 및 지식정도와의 상관관계를 분석하여 본 결과 직무만족도가 높을수록 업무수행정도가 높은 것으로 나타났고 (r=.3010, P<.01), 업무수행정도와 지식정도 역시 순상관관계 (r=.2591, P<.05)가 있음이 통계적으로 유의하여 지식정도가 높을수록 업무수행정도가 높음을 알 수 있었다. 그러나 직무만족도와 지식정도는 상관관계가 없었다. 결론적으로 연구에서 나타난 산업 간호사의 업무수행은 통상질환관리 위주의 업무로서 직업병 예방, 산업보건교육, 산업환경위생관리 업무등에는 수행이 미비한 것으로 나타났으며, 업무수행과 직무만족도 및 지식정도는 순상관관계가 있어 직무만족도와 지식정도가 높을수록 업무수행이 높은 것으로 나타났다.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.71-89
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• 2016

Sentiment analysis is used for identifying emotions or sentiments embedded in the user generated data such as customer reviews from blogs, social network services, and so on. Various research fields such as computer science and business management can take advantage of this feature to analyze customer-generated opinions. In previous studies, the star rating of a review is regarded as the same as sentiment embedded in the text. However, it does not always correspond to the sentiment polarity. Due to this supposition, previous studies have some limitations in their accuracy. To solve this issue, the present study uses a supervised sentiment classification model to measure a more accurate sentiment polarity. This study aims to propose an advanced sentiment classifier and to discover the correlation between movie reviews and box-office success. The advanced sentiment classifier is based on two supervised machine learning techniques, the Support Vector Machines (SVM) and Feedforward Neural Network (FNN). The sentiment scores of the movie reviews are measured by the sentiment classifier and are analyzed by statistical correlations between movie reviews and box-office success. Movie reviews are collected along with a star-rate. The dataset used in this study consists of 1,258,538 reviews from 175 films gathered from Naver Movie website (movie.naver.com). The results show that the proposed sentiment classifier outperforms Naive Bayes (NB) classifier as its accuracy is about 6% higher than NB. Furthermore, the results indicate that there are positive correlations between the star-rate and the number of audiences, which can be regarded as the box-office success of a movie. The study also shows that there is the mild, positive correlation between the sentiment scores estimated by the classifier and the number of audiences. To verify the applicability of the sentiment scores, an independent sample t-test was conducted. For this, the movies were divided into two groups using the average of sentiment scores. The two groups are significantly different in terms of the star-rated scores.

• The Journal of Korean Society for Radiation Therapy
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• v.18 no.2
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• pp.97-103
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• 2006

The purpose of this study is to understand preliminary education. level of understanding and the degrees of educational requirement for cancer patients on radiotherapy and to present the preliminary data to development of effective and practical patients treatment programs. Based on the abovementioned results of this study. Relationship betweendegrees of knowledge and demand for educational requirement for patients who are undertaking radiotherapy could be varied with different factors such as educational background, ages, regions of treatment, experience of symptoms. In general, patients do not have enough information, on the other hand, have very high demand for educational requirement. Customized education patients by patients would not be possible in reality. However, if we could provide standard for patients and establish systematic sessions during treatment based on this study, more and better patients satisfaction and results of treatments could be achieved.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1285-1296
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• 2013

The fundamental concerns of this paper are to analyze the effects of student course evaluation using subject characteristic and student characteristic variables. We use a 2-level hierarchical linear model since the data structure of subject characteristic and student characteristic variables is multilevel. Four models we consider are as follows; (1) null model, (2) random coefficient model, (3) mean as outcomes model, (4) intercepts and slopes as outcomes model. The results of the analysis were given as follows. First, the result of null model was that subject characteristics effects on course evaluation had much larger than student characteristics. Second, the result of conditional model specifying subject and student level predictors revealed that class size, grade, tenure, mean GPA of the class, native class for level-1, and sex, department category, admission method, mean GPA of the student for level-2 had statistically significant effects on course evaluation. The explained variance was 13% in subject level, 13% in student level.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.417-427
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• 2012

This study is to recognize the relationship between better life index, nursing performance and intents to leave among hospital nurses by comparison. From July 1to July 20, 2012. we collected survey results subjecting on total 700 nurses by random sampling of hospital-class medical institutes over 200 beds located on Busan & Gyeongnam, and analyzed final 677 copies. We recognized the degrees and the differences of happiness index, professionalism, intents to leave among hospital nerses and analyzed the factors impacting on intents to leave among hospital nerses through correlation analysis and multiple regression analysis between variables. The main result is as follows: First, the average of the item related to happiness index of nurse was 3.03 (5 points of scale) and the average score of professionalism was 3.09 (medium degree) but the average score of turnover intention was 3.35 (relatively high); Second, professionalism and turnover intention according to characteristics of subjects were significant statistically (p<0.05) and turnover intention indicated a significant negative relation with happiness index and professionalism; Third, a factor which mostly impact on turnover intention indicated a significant level (p<0.05) in professionalism, happiness index, general hospital, 2.01 to 2.5 million of average pay. Based on such results, as happiness index and professionalism are indicated as major factors to turnover intention, multi-dimensional viewpoint of follow-up study including further variables is required and the plan to apply nursing intervention program for reducing turnover intention is also required.

• The Journal of the Korea Contents Association
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• v.16 no.4
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• pp.231-240
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• 2016

The purpose of this study is to investigate the relationship among fatigue, personality, learning strategies, and academic achievement of medical students. 146 students from year 1 to year 4 at one medical school participated in this study. Students completed the fatigue, Big Five personality traits(Neuroticism, Extraversion, Openness, Agreeableness, Conscientiousness), learning, strategies. The academic achievement of students measured by GPA. The data were analyzed by t-test and stepwise multiple regression. The student's fatigue differed by grade, and the students of low grade had higher scores than high grade. But personality traits and learning strategies were not significantly different by grade. The factors that affect on academic achievement differ by grade. In low grade, neuroticism, extraversion, and rehearsal affected students' academic achievement. In high grade, conscientiousness and extraversion had an effect on the academic achievement of students. These results could guide the design of medical education improvement, and be useful in developing a supporting program for medical students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.152-161
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• 2019

This study analyzed the relationship of turnover intention of clinical nurses with self-leadership, job involvement, and empowerment. The participants were 173 clinical nurses working in D city and K province in Korea. Data analysis consisted of independent t-tests, ANOVA, Scheffe's tests, Pearson's correlations, and stepwise multiple regression conducted using SPSS WIN 21.0. There was a significant correlation between self-leadership, job involvement, empowerment and turnover intention. Factors affecting turnover intention were total clinical career, position, salary, marital status and job involvement. Total clinical career was the most influential factor, with an explanatory power of 28.7%. Based on the results, it is necessary to reduce turnover intention of nurses through the development of educational programs to increase job involvement and reorganization of the hospital organization system to manage nursing manpower resources efficiently.