• 제목/요약/키워드: Quantitative Data

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Unequal Size, Two-way Analysis of Variance for Categorical Data

  • Chung, Han-Yong
    • Journal of the Korean Statistical Society
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    • 제5권1호
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    • pp.29-34
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    • 1976
  • The techniques about the analysis of variance for quantitative variables have been well-developed. But when the variable is categorical, we must switch to a completely different set of varied techniques. R.J. Light and B.H. Margolin presented one kind of techniques for categorical data in their paper, where there are G unordered experimental groups and I unordered response categories.

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젊은 한국 여성의 구강안면영역에서 절대적 온도역치와 상대적 온도역치간의 비교 (Comparison of absolute and relative thermal QST thresholds In the orofacial region of the young Korean women)

  • 김기석
    • Journal of Oral Medicine and Pain
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    • 제38권4호
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    • pp.367-372
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    • 2013
  • 신경손상과 관련된 감각이상의 평가 시 정량적 감각 신경검사법 중의 하나인 열역치검사법을 사용하며 환자의 열 자극에 대한 역치 값은 건강한 집단을 대상으로 하여 얻은 정상치 (절대값)와 비교하거나 손상부와 대응되는 비이환측에서 측정한 값 (상대값)과 좌우 비교를 통해 정상여부를 판단한다. 기존의 문헌들을 통해 상대값을 이용한 좌우비교가 집단의 절대값을 이용한 방법보다 감각신경의 이상을 판단하는데 더 효율적이라고 알려져 있지만 구강안면부에서 절대값에 대해 상대값이 갖는 효율성 여부와 그 정도에 대한 연구가 부족하기에 이번 연구를 통해 구강안면부에서 상대값의 타당도를 평가하고 절대값과 효율성을 비교하고자 하였다. 19명의 건강한 성인여성을 대상으로 이마, 뺨, 이부, 하순, 혀의 양측에 정량적 온도역치검사를 시행하여 상대 값과 절대값에 대한 평균과 표준편차를 계산하였다. 연구를 통해 각 구강안면부에서 상대값을 이용한 좌우비교 시 유의한 차이가 없었으며 대부분 유의한 상관관계를 보였으며 절대값을 이용한 방법에 비해 최대 4.6배 작은 표준편차를 보였다. 결론적으로 구강안면부에서 상대값을 이용한 정량적 온도역치검사법은 타당도가 있으며 절대값을 이용한 방법에 비해 감각신경의 이상을 판단하는데 유리하다고 볼 수 있다.

Gametogenic Cycle and the Number of Spawning Seasons by Quantitative Statistical Analysis, and the Size at 50% of Group Sexual Maturity in Atrina (Servatrina) pectinata (Bivalvia: Pinnidae) in Western Korea

  • Chung, Jae Seung;Chung, Ee-Yung;Lee, Chang-Hoon
    • 한국패류학회지
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    • 제28권4호
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    • pp.363-375
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    • 2012
  • The gametogenic cycle, the number of spawning seasons per year and first sexual maturiity of the pen shell, Atrina (Servatrina) pectinata, were investigated by quantitative statistical analysis using an Image Analyzer System. Compared two previous results (the spawning periods in the reproductive cycles in 1998 and 2006) by qualitative histological analysis with the present results by quantitative statistical analysis, there are some differences in the spawning periods: the spawning period (June to September) by quantitative statistical analysis was one month longer than those of two previous reports (June to July or June to August) by qualitative histological analysis. However, the number of spawning seasons studied by the qualitative and quatitative analyses occurred once per year. In quantitative statistical analysis using an image analyzer system, the patterns of monthly changes in the percent (%) of the areas occupied by follicles to the ovary area in females (or that of the areas occupied by spermatogenic stages to the testis area in males) showed a maximum in May, and then sharply droped from June to September, 2006. From these data, it is apparent that the spawning season of A. (S.) pectinata occurred once a year from June to September, indicating a unimodal gametogenic cycle during the year. Shell heights of sexually mature pen shells (size at 50% of group sexual maturity, $GM_{50}$) that were fitted to an exponential equation were 15.81 cm in females and 15.72 cm in males (considered to be one year old).

Gametogenic Cycle and the Number of Spawning Seasons by Quantitative Reproductive Analysis in Female Ruditapes philippinarum in Western Korea

  • Chung, Ee-Yung;Lee, Chang-Hoon;Choi, Ki-Ho;Choi, Moon-Sul;Lee, Ki-Young
    • 한국패류학회지
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    • 제26권3호
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    • pp.245-254
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    • 2010
  • For the studies of germ cell development and maturation in the ovary, the gametogenic cycle and the number of spawning seasons per year in female Ruditapes philippinarum were investigated by quantitative statistical analysis using an Image Analyzer System. Compared with the results by qualitative and quantitative analyses, monthly variations in female gonad indice by qualitative histological analysis showed a pattern similar to that of the female gametogenic cycle calculated by quantitative statistical analysis. The number of spawning seasons occurred once per year, from June to October. In quantitative statistical analysis using an image analyzer system, monthly changes in the portions (%) of the ovary area to total tissue areas in females increased in March and reached a maximum in May, and then showed a rapid decrease from June to October when spawning occurred. And also monthly changes in portions (%) of follicle areas to the ovary area and in portions of oocyte areas to ovarian tissue areas in females began to increase in March and reached a maximum in May, and then. rapidly dropped from June to October when spawnig occurred. From these data, it is apparent that the number of spawning seasons occurred once per year, from June to October. Monthly changes in the number of the oocyte per $mm^2$ and in mean diameter of the oocyte in captured image which were calculated for each female slide showed a maximum in May and reached the minimum from December to February. Therefore, female R. philippinarum showed a unimodal gametogenic cycle during the year.

햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가 (Quantitative Microbial Risk Assessment of Clostridium perfringens on Ham and Sausage Products in Korea)

  • 고은경;문진산;위성환;박경진
    • 한국축산식품학회지
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    • 제32권1호
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    • pp.118-124
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    • 2012
  • 본 연구는 햄 및 소시지류에서의 Clostridium perfringens에 대한 정량적 미생물 위해평가(Quantitative microbial risk assessment; QMRA)를 국제기준(Codex)의 원칙과 지침에 따라 수행하였으며, 오염수준에 대한 직접적인 분석결과와 현재의 국내 유통환경, 관련제품의 특성, 섭취량 및 소비행태 등을 반영한 노출평가용 "product-retail-consumption pathway" frame-work 모델을 구성하였고, 이를 바탕으로 엑셀(Excel)기반 노출평가용 시뮬레이션 모델을 개발하여 제시하였다. 개발된 모델을 시뮬레이션 프로그램인 @RISK를 활용하여 위해(risk) 수준을 산출하였으며, 그 결과 국내에서 1일 1인이 햄 및 소시지류의 섭취를 통한 Cl. perfringens에 의한 식중독발생 확률은 평균적으로 $3.97{\times}10^{-11}{\pm}1.80{\times}10^{-9}$으로 추정하였다. 또한 본 연구에서 수행한 QMRA결과를 바탕으로 현재수준에서의 한계점과 미래에 더욱 발전된 국내 QMRA 연구 및 활용을 위한 제언을 추가하였다

미취학 자녀를 둔 취업모의 경제활동 중단 의향 (Intentions of Employed Mothers with Young Children to Leave the Labor Force)

  • 손서희;이재림
    • 가정과삶의질연구
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    • 제32권3호
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    • pp.157-177
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    • 2014
  • The purpose of this study was to investigate the contexts in which employed mothers with young children consider leaving the labor force. We used a mixed methods design, which integrates the findings of quantitative and qualitative analyses, to better understand the dynamics underlying employed mothers' intentions to leave the labor force. The participants of both quantitative (N = 324) and qualitative (N = 16) data were married mothers who were employed full-time and had at least one child younger than elementary-school age at the time of data collection. Both the quantitative analysis of logistic regression and the qualitative thematic analysis revealed that the child's age, the husband's income, the utilization of child care by relatives, the mother's job involvement, family-to-work role conflict, and other costs and rewards of participation in the work force were the important contexts where employed mothers considered leaving the labor force. The quantitative analysis uniquely found that being employed at a workplace with flexible work hours were associated with lower odds of considering exit from the labor market. The qualitative analysis highlighted that the decision to leave the labor force or to stay in it is a complicated issue that almost all employed mothers potentially face at some point in their careers. These findings suggest that policy support is warranted to help employed mothers with young children remain in the workforce when they wish to.

산림부문의 국가온실가스 배출·흡수계수 개발 필요 우선순위 및 정량평가 방법론 (Priority for Developing Emission Factors and Quantitative Assessment in the Forestry Sector)

  • 한승현;이선정;장한나;김성준;김래현;전의찬;손요환
    • 한국기후변화학회지
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    • 제8권3호
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    • pp.239-245
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    • 2017
  • This study aimed to suggest priority for developing emission factor (EF) and to develop the methodology of quantitative assessment of EF in the forestry sector. Based on the stock-difference method, 17 kinds of EFs (27 EFs based on forest types) were required to calculate the carbon emission in the forestry sector. Priority for developing EFs followed the standards, which is a development plan by the government agency, importance of carbon stock for greenhouse gas, and EFs by the species. Currently, the most urgent development of EFs was carbon fraction in biomass and carbon stock in dead wood. Meanwhile, the quantitative assessment of EF consisted of 7 categories (5 categories of compulsory and 2 categories of quality evaluation) and 12 verification factors. Category in compulsory verification consisted of administrative document, determination methodology of emission factors, emission characteristic, accuracy of measurement and analysis, and data representative. Category in quality evaluation consisted of data management and uncertainty estimates. Based on the importance of factors in the verification process, each factor was scored separately, however, the score needs to be coordinated by the government agency. These results would help build a reliable and accurate greenhouse gas inventory report of Korea.

Analytic Hierarchy Process Modelling of Location Competitiveness for a Regional Logistics Distribution Center Serving Northeast Asia

  • Kim, Si-Hyun;Lee, Kwang-Ho;Kang, Dal-Won
    • Journal of Korea Trade
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    • 제24권3호
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    • pp.20-36
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    • 2020
  • Purpose - As the global product network expands through both internationalization and diversification of the multimodal transportation system, corporate strategies have shifted to emphasize the importance of a high value-added international logistics system. To guide policies and strategies to attract relevant industries, this study aims to analyze the location competitiveness of regional logistics distribution center to serve Northeast Asia. Design/methodology - Multi-criteria techniques are considered to offer a promising framework for evaluating decision-making factors. This paper employed an analytic hierarchy process to analyze the hierarchal structure of determinants for selecting the location of a regional logistics distribution center. Adopting both qualitative and quantitative evaluations, this study suggest political implications for a regional logistics distribution center development, such as the direction of political support, service differentiation and infrastructure development. Findings - This study developed a location competitiveness evaluation model, based on the case study of the major port-cities in Northeast Asia. Evaluation model incorporates five factors underpinning 17 components extracted using factor analysis. The results revealed that the logistics factor is the most significant factor for evaluating the competitiveness of a regional logistics distribution center. The remaining factors were market, costs, and services environment. Comparing qualitative and quantitative evaluations, results provide useful insights for a regional logistics distribution center development in Northeast Asia. Originality/value - This study revealed differences between qualitative and quantitative evaluations. The finding implies that prior works on evaluation models of competitiveness has not successfully measured the gap between quantitative data and expert' evaluations. To overcome this limitation, this paper considered both actual data such as actual distance, cost, the number of companies located, and expert opinions.

마음의 방 그리기에 관한 양적, 질적 분석 연구 (The Study on Quantitative and Qualitative Analysis of Mentalizing the Rooms of Mind)

  • 유수양;강형원
    • 동의신경정신과학회지
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    • 제28권3호
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    • pp.275-286
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    • 2017
  • Objectives: To suggest the basis of clinical applications through qualitative and quantitative analysis of mentalizing the rooms of mind in the mindfulness meditation program. It is one of the M&L psychotherapy techniques that enables observing the mind more objectively by structuring, visualizing and embodying state of the mind at the moment of drawing a room of the mind. Methods: In this study, we conducted 5t mindfulness meditation program sessions with 85 college students studying Oriental Neuropsychiatry at the University of Oriental Medical College. Before and after the program, data checked the FFMQ and drew the room of mind. Qualitative analysis by subjects were analyzed using qualitative and quantitative methods. Results: First, results of the quantitative analysis revealed significant difference between pre-and post on describing one of the FFMQ sub-factors. However, there were no statistically significant other factors. Second, qualitative analysis results follow as: It extracted 2 keywords including 'viewpoint as a therapist' and 'viewpoint as a client' and 3 consisting words 'positive response', 'negative response', 'ambiguous response'. Conclusions: Mentalizing the room of mind is the work of visualizing, diagramming, objectifying, and specifying the mind of this moment. It is concerned that the value of clinical use is high as a useful tool to increase concentration of meditation and observe and evaluate changes of mind before and after treatments.

Two-layer Investment Decision-making Using Knowledge about Investor′s Risk-preference: Model and Empirical Testing.

  • Won, Chaehwan;Kim, Chulsoo
    • Management Science and Financial Engineering
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    • 제10권1호
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    • pp.25-41
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    • 2004
  • There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.