• 한국조사연구학회지:조사연구
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• 제1권2호
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• pp.137-159
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• 2000

지식 정보화 사회에서 필요한 통계는 “기술통계+추론통계+실용통계”의 특성을 갖추어야 하며 적시성, 정확성과 경제성을 갖는 통계를 생산하기 위해서 자료 수집과 분석 과정에서 컴퓨터를 이용해 왔으나, 앞으로 인터넷이 보편화된 사이버 공간 사회에서 활용될 수 있는 실용통계 생산에 역점을 둔 통계 발전 방안을 살펴보았다. 먼저 컴퓨터 보급과 이용현황을 살펴보고 컴퓨터 이용조사 기법의 발달 과정을 요약하였으며, 적용 사례 중심으로 인터넷 조사의 발전 가능성에 대해서 언급한 후에, 모든 분야에서 어떤 종류의 통계도 효과적으로 생산할 수 있는 컴퓨터 이용 통계 조사 종합 시스템을 제안하였다.

• 대한간호학회지
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• 제34권7호
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• pp.1288-1297
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• 2004

Purpose: The purpose of this study was to investigate the factors influencing health promoting lifestyle in the elderly. Method: The subject of this study was 305 elderly person over the age of 60, living in rural and urban, Korea. For the analysis of collected data, descriptive statistics, t-test, analysis of variance and stepwise multiple regression were used for statistical analysis with SPSS statistical program. Results: The average item score for the health promoting lifestyle was 2.46, The higher score on the subscale was nutrition(2.65). The lowest score on the subscale were physical activity(2,36) and stress management(2,36). General characteristics showing statistically significant difference in health promoting lifestyle were age, residential district, live together spouse, education, religion and pocket money in the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of health promoting lifestyle in the elderly was prior related behavior(R2=.554). A combination of prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences accounted for $64.3\%$ of the variance in health promoting lifestyle in the elderly, Conclusion: The factors influencing on health promoting lifestyle for elderly were prior related behavior, perceived benefits of action, perceived self-efficacy, commitment to a plan of action, and interpersonal influences.

• 한국안전학회지
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• 제29권2호
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• pp.98-105
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• 2014

Biosafety has become quite sensitive issues according to dramatic development of biotechnology and LMO(Living Modifying Organism) is one of the key issue in biosafety. This study is an exploratory research for investigating the activation strategy of biosafety training management in LMO research field. Based on the survey data, main results are derived through various statistical analysis methodology such as descriptive analysis, factor analysis, reliability analysis, analysis of variance and regression analysis. According to the analysis results, some activation strategies are required to reach the target such as extension of specialized biosafety training program, enhancement of safety consciousness from the undergraduate courses, introduction of appropriate safety regulations, unification of safety management and establishment of safety management system.

• 정보관리학회지
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• 제36권2호
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• pp.255-273
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• 2019

이 연구는 최근 접근 및 활용이 높아지고 있는 목차에 대해 품사 측면과 주제 측면에서 가지는 기술통계와 비교 분석을 수행하였다. 이를 위해 대학 도서관의 수서 목록에서 사회과학분야 도서를 추출하고 해당하는 도서에 대해 종합목록으로부터 DDC 분류기호를, 인터넷 서점으로부터 목차 정보를 추출하였다. 서명과 목차를 대상으로 형태소 분석하여 명사 중심의 어휘에 대해 기술통계와 빈도 분석을 실시하였다. 그 결과 형태소 측면에서 서명과 목차는 명사가 대략 절반가량 차지하며, 서명과 비교하여 목차는 50배 정도 더 많은 명사를 가지며, 목차에 출현한 명사 중에 목차만이 고유하게 가지는 비율이 95.2%에 달하는 것으로 파악되었다. 또한 목차는 사회과학 학문분야에 따라 길이가 차이가 나는 것으로 나타났다.

• Journal of Acupuncture Research
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• 제34권2호
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• pp.19-38
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• 2017

Objectives : This is a retrospective statistical analysis of the demographic and therapeutic characteristics influencing the continued improvement of symptoms in patients treated in 2014 for herniated lumbar discs at a Korean medicine hospital; thereby, providing clinical data to further improve medical services of Korean medicine. Methods : We investigated the demographic and therapeutic variables of all patients who were diagnosed with a herniated lumbar intervertebral disc and were hospitalized for more than 1 night at Dunsan Korean medicine hospital from January 1, 2014, to December 31, 2014. IBM SPSS 21.0 was used to conduct a logistic multiple regression analysis and a covariance analysis (ANCOVA) of the demographic and therapeutic variables collected from the electronic medical records and telephone surveys. Results : 1. A longer duration of hospitalization was significantly better for the maintenance of pain relief or a decrease in the pain after discharge. 2. Younger patients were significantly less likely to be treated with a Western medical treatment after discharge. 3. Most of the demographic and therapeutic variables were not statistically significant in regards to treatment for lower back pain since discharge. Conclusion : Some of the demographic and therapeutic variables had a positive effect on the prognosis at one year or greater in patients who received integrative Korean medical treatment for lumbar disc herniation. Continued and systematic research will be needed.

• 한국의류학회지
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• 제38권6호
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• pp.810-822
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• 2014

This study investigated the effects of sociocultural influence and body image on appearance enhancement behavior (facial management, clothing selection, and weight/figure management). For data collection, a questionnaire was administrated to 378 female college students in Seoul and Gyeonggi-do from May $23^{rd}$ to June $10^{th}$ 2013. A SPSS 18.0 statistics package was used to analyze data along with descriptive statistical analysis, frequency analysis, factor analysis, reliability analysis, and regression analysis and frequency analysis. The results were as follows. First, sociocultural influences were divided into three factors: media influence, peer influence, and parental influence. Overall sociocultural influences had positive effects on appearance enhancement behavior. Second, body image was divided into: appearances-management, body-satisfaction and body confidence. Sociocultural influences had a significant effect on overall body image. Third, body image positively affected overall appearance enhancement behavior.

• 동의생리병리학회지
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• 제22권1호
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• pp.189-193
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• 2008

We analyzed the research type and statistical methods in Korean Journal of Oriental Physiology and Pathology for describing the trends of Oriental medicine research. The data for the analysis of trends in Oriental medicine research was taken from a total 808 articles published in Korean Journal of Oriental Physiology and Pathology from 2004 to 2006. We surveyed the number of authors, the institutes involved in each study, and used languages in each study. Also we seperated by epidemiological study design, the studies into categories and statistical methods into 13 categories. Results showed that descriptive statistics was used in 125(14.4%) papers. Also t-test, analysis of variance, multiple comparison, chi-square test, and non-parametric test were used in 338(38.9%), 147(16.9%), 81(9.3%), 27(3.1%), 23(2.6%) papers, respectively. And 62(7.1%) papers of the involved papers didn't use statistical methods. To improve the quality of Oriental medicine related articles, we have to use proper statistical methods with consultation of statistician or other experts before accepting a manuscript are needed.

• Communications for Statistical Applications and Methods
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• 제30권2호
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• pp.119-133
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• 2023

With the rapid growth of the economy and fossil fuel consumption, the concentration of air pollutants has increased significantly and the air pollution problem is no longer limited to small areas. We conduct statistical analysis with the actual data related to air quality that covers the entire of South Korea using R and Python. Some factors such as SO₂, CO, O₃, NO₂, PM₁₀, precipitation, wind speed, wind direction, vapor pressure, local pressure, sea level pressure, temperature, humidity, and others are used as covariates. The main goal of this paper is to predict air quality index (AQI) spatio-temporal data. The observations of spatio-temporal big datasets like AQI data are correlated both spatially and temporally, and computation of the prediction or forecasting with dependence structure is often infeasible. As such, the likelihood function based on the spatio-temporal model may be complicated and some special modelings are useful for statistically reliable predictions. In this paper, we propose several methods for this big spatio-temporal AQI data. First, random effects with spatio-temporal basis functions model, a classical statistical analysis, is proposed. Next, neural networks model, a deep learning method based on artificial neural networks, is applied. Finally, random forest model, a machine learning method that is closer to computational science, will be introduced. Then we compare the forecasting performance of each other in terms of predictive diagnostics. As a result of the analysis, all three methods predicted the normal level of PM_2.5 well, but the performance seems to be poor at the extreme value.

• Spatial Information Research
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• 제9권2호
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• pp.239-261
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• 2001

우리 나라 국가지정통계자료는 대부분 행정구역을 기초단위로 하는 지리/지역정보로서 계량적 지역분석기법을 통해서 그 가치가 더해진다. 본 연구는 지역분석을 위한 통계정보 및 통계지도 서비스 시스템의 한 선도적 모델을 제시하는데 그 목적을 둔다. 본 연구에서는 서울시를 사례로 하여 인구주택 총조사 및 사업체기초통계 원시자료 등을 재 집계하여 지역통계 데이터베이스를 구축하였다. 통계GIS의 핵심 지역분석모듈은 사회경제 자료분석에서 활용의 빈도가 높은 지역구조 및 격차 분석, 공간 분산분석, 상관분석, 회귀 및 잔차분석, 공간적 자기상관분석 등으로 구성되었다. 시스템 설계는 지역통계 데이터베이스와 지역분석기법 모듈, 그리고 통계지고를 웹 환경에서 통합하기 위해 어플리케이션 서버를 포함한 다양한 정보기반기술을 채택하여 이루어졌다. 지역분석을 위한 입출력 과정에서 대화형 통계지도가 사용된다. 본 연구를 통해 제안된 통계 GIS의 특징은 미리 저장된 데이터와 분석기능이 사용자와의 양방향 웹 인터페이스를 통해 제한 없이 확장될 수 있다는 점이다. 사용자의 요구에 따라 분석변수의 자유로운 변형과 합성이 연산자 구문해석기를 통해 가능하고, 이를 바탕으로 새로운 지역분석 알고리즘의 구현이 실시간으로 가능하다. 또한 데이터 측면에서는 사용자가 업로드한 자료를 잠정적으로 시스템에 통합하여 확장된 가상 데이터베이스를 만들고 이에 대해 여러 분석을 수행할 수 있다. 웹 기반 통계GIS 모델의 초기평가를 통해 각종 지역통해자료로부터 주문형 통계지도의 작성과 유통이 동시에 가능함이 확인되었다.

• 한국식품조리과학회지
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• 제23권4호통권100호
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• pp.469-480
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• 2007

The purposes of this study were to assess the perception of the characteristics of Condonopsis lanceolata dishes and to find out the development need & willingness to purchase for Condonopsis lanceolata dishes in view of industrial foodservice dieticians. Of 250 questionnaires distributed, 152 completed questionnaires were used for the statistical evaluation. Statistical data analysis was using SPSS 10.0 program for descriptive analysis, $X^{2}$-test, t-test and analysis of variance. The perception score on the characteristics of Condonopsis lanceolata dishes varied according to the number of meals served, mean price of a meal, type of food service management, food cost variation, offering type, and intake frequency; however, perception score was not affected by the number of meal serving/day and the type of menu. Regarding processed foods containing Condonopsis lanceolat, the need for developing side dishes was the highest in processed foods using Condonopsis lanceolata, followed by alcoholic beverage, one dish foods, health foods, and desserts. The score for willingness to purchase dessert of Condonopsis lanceolata was the highest, followed by alcoholic beverage, one dish foods, health foods, and side dishes.