• Title/Summary/Keyword: 통계적 요인 분석

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Effect of dietary quality on periodontal diseases in Korean adults: the Korea National Health and Nutrition Examination Survey (2016-2018) (한국 성인의 식생활의 질이 치주질환에 미치는 영향: 국민건강영양조사 제7기(2016-2018) 자료 활용)

  • Park, Jung-Eun
    • Journal of Korean society of Dental Hygiene
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    • v.21 no.5
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    • pp.535-543
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    • 2021
  • Objectives: This study investigated the relationship between the Korean healthy eating index (KHEI) and periodontal disease in the Korean adult population. Methods: The data used in the analyses were obtained from the seventh Korean National Health and Nutrition Examination Survey (2016-2018). Data were analyzed by chi-square tests and t-test. Multiple regression analysis was also performed to assess the association between KHEI and periodontal disease. Statistical significance was set at p<0.05. Results: Multiple logistic regression analysis adjusted for socioeconomic variables showed that medical and health behavior variables were significantly related to the KHEI 1 (<63.7, odds ratio [OR]: 1.23, 95% confidence interval [CI]: 1.03-1.46), KHEI 2 (63.7-79.9, OR: 1.14, 95% CI: 0.97-1.34), and risk for periodontal disease. Conclusions: The results showed a significant association between the KHEI and periodontal disease in the Korean adult population.

A Topic Analysis of Abstracts in Journal of Korean Data Analysis Society (한국자료분석학회지에 대한 토픽분석)

  • Kang, Changwan;Kim, Kyu Kon;Choi, Seungbae
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.2907-2915
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    • 2018
  • Journal of the Korean Data Analysis Society founded in 1998 has played the role of a major application journal. In this study, we checked the objective of this journal by checking the abstracts for 10 years. Abstract data was crawled from the online journal site (kdas.jems.or.kr) and analyzed by topic model. As a result, we found 18 topics from 2680 abstracts that had several contents, for example, nursing, marketing, economics, regression, factor analysis, data mining and statistical inferences. Topic1 (regression) is most frequent with 460 documents and we found the usefulness of regression in the applied science area. We confirmed the significant 10 association rules using by Fisher's exact test. Also, for exploring the trend of topics, we conducted the topic analysis for two periods which are 2006-2011 period and 2012-2016 period. We found that the control study was more frequent than survey study over time and regression and factor analysis were frequent regardless of time.

A Study on the Relationship between Mathematics Anxiety and Mathematics Teaching Anxiety in Elementary School Teachers (초등학교 교사의 수학불안과 수학교수불안의 상관관계 분석 연구)

  • Kim, Rina
    • Education of Primary School Mathematics
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    • v.24 no.2
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    • pp.71-81
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    • 2021
  • In this study, I investigate the relationship between mathematics anxiety and mathematics teacher anxiety of elementary school teachers with integrated method. As a result of statistical analysis of the survey of 256 elementary school teachers, there was a statistically significant positive correlation between the two factors (r = .630, p <.05). The analysis show that teaching experience and degree may affect mathematics anxiety and teaching experience, degree, and teacher qualification may affect mathematics teaching anxiety. Subsequently I conduct a qualitative study focusing on interviews with 20 elementary school teachers. As a result of the analysis, I confirm that even if the mathematics anxiety is low, mathematics teaching anxiety may occur due to the teaching environment. As a result of the quantitative and qualitative analysis of this study, Korean elementary school teachers' mathematics anxiety and mathematics teaching anxiety might be regarded as separate factors. From the result of the study, I suggest that mathematics anxiety and mathematics teaching anxiety of elementary school teachers, each emotional state might be considered as independent emotional status. The implication of the study indicate that independent methods might be developed in order to prevent and treat mathematics anxiety and mathematics teaching anxiety in elementary school teachers.

A Meta-analysis of Related Factors Depression of Korea University Student (한국 대학생의 우울 관련 요인에 대한 메타분석)

  • Jeon, Byoung-Jin;Song, Bo-Kyong;Ko, Koung-Min;Kim, Ji-Yoon;Park, Sang-Eun;Yu, Yi-Seul;Lee, Du-Ri;Choi, Young-Ju
    • The Journal of Korean society of community based occupational therapy
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    • v.5 no.2
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    • pp.43-55
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    • 2015
  • Objective : This study was a meta-analysis of previous studies to examine the integration of related factors depression University students of Korea, and to determine the relative importance among the relevant factors based on it. Methods : 2000-2014 papers posted on the National Science and Technology Information Center (NDSL), Nurimedia (DBpia), Academic Research Information Service (RISS), Korea Research Information(KISS), provide the text of the Library of Congress were collected using the service. The Key words a 'University Student', 'Depression', 'Depression Factors' was used. Used the Down & Black level, evidence-based checklist was developed by the research (1998) (checklist) had analyzed the selected document metadata to assess the quality. Results : 47-studies selected research groups are divided into five factors(self-esteem, suicidal ideation, positive thinking, stresses, Internet and smartphone addiction). Using meta-analysis, we analyzed the effect sizes, statistical heterogeneity and publication amenities. As a result, the self-esteem of the five factors were not found heterogeneity. Effect size is a self-esteem and suicidal ideation "large effect size", positive thinking and stress "medium effect size", internet and smart phone addiction"small effect size". Conclusion : Self-esteem and suicidal ideation are among the factors associated with depression in University students of Korea was found that the most relevant. It identified the factors associated with depression in college students, and could utilized as basis for the prevention of depression.

An Empirical Study of the Effects and Productivity of KONEPS (나라장터 생산성 및 효과 실증 연구)

  • Kim, Hun-Hee;Lee, Won-Cheon;Oh, Yeon Chil;Yang, In-Hark
    • Annual Conference of KIPS
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    • 2016.04a
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    • pp.387-389
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    • 2016
  • 본 연구에서는 국가종합전자조달 시스템(이하, 나라장터)에 대한 생산성과 효과를 업무처리량을 기준으로 실증하였다. 기존의 연구방법은 인력 및 자본의 투입에 따른 부가가치를 생산성으로 산정하고 설문자료 및 지표 등으로 효과를 산정해 왔다. 본 연구에서는 정량적인 요인을 측정하기 위해 실제 정보시스템에 기록되는 문서량을 기준으로 업무모델 및 가설을 선정하였다. 생산성에 영향을 주는 계약건수, 문서처리, 통화시간 등을 행정업무에 소요되는 수기 또는 법적인 소요일수 등을 비교대상으로 하여 생산성을 산정하였다. 마지막으로 결과를 검증하기 위해 요인의 기술통계적 검정과 회귀분석으로 모델을 실증하였다.

Further Investigations on the Financial Characteristics of Cash Reserves for the Chaebol Firms in the Korean Capital Markets (국내 재벌기업들의 현금성자산 수준의 결정요인들에 대한 추가적 심층 분석)

  • Kim, Hanjoon
    • The Journal of the Korea Contents Association
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    • v.15 no.7
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    • pp.436-448
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    • 2015
  • This study examined one of the contemporary financial aspects, the level of corporate cash holdings for the firms belonging to the chaebols in the Korean capital markets. Being accompanied by various alternative econometric methodologies such as static and dynamic panel data model, stepwise OLS, and Fama-Macbeth modelm this research extended the preceding Kim's study (2015) in anticipation of validating the results to identify any financial factors which may significantly affect the chaebol firms' cash reserves. Several financial characteristics such as CASHFLOW, MVBV, REINVEST, and AGENCY, were found to be statistically significant factors on the level corporate liquidity, along with CCC as cash conversion cycle in the models. It may be plausible that any outcomes of this study may be applied to enhance the efficiency of financial strategies of the chaebol firms on cash holdings, thereby expediting the development of the domestic capital markets status quo toward the advanced one in the market classification.

Examining Impact of Weather Factors on Apple Yield (사과생산량에 영향을 미치는 기상요인 분석)

  • Kim, Mi Ri;Kim, Seung Gyu
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.16 no.4
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    • pp.274-284
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    • 2014
  • Crops and varieties are mostly affected by temperature, the amount of precipitation, and duration of sunshine. This study aims to identify the weather factors that directly influence to apple yield among the series of daily measured weather variables during growing seasons. In order to identify them, 1) a priori natural scientific knowledge with respect to the growth stage of apples and 2) pure statistical approaches to minimize bias due to the subject selection of variables are considered. Each result estimated by the Panel regression using fixed/random effect models is evaluated through suitability (i.e., Akaike information criterion and Bayesian information criterion) and predictability (i.e., mean absolute error, root mean square error, mean absolute percentage). The Panel data of apple yield and weather factors are collected from fifteen major producing areas of apples from 2006 to 2013 in Korea for the case study. The result shows that variable selection using factor analysis, which is one of the statistical approaches applied in the analysis, increases predictability and suitability most. It may imply that all the weather factors are important to predict apple yield if statistical problems, such as multicollinearity and lower degree of freedom due to too many explanatory variables used in the regression, can be controlled effectively. This may be because whole growth stages, such as germination, florescence, fruit setting, fatting, ripening, coloring, and harvesting, are affected by weather.

A Longitudinal Analysis of the Number of Checked-out Books Using Latent Growth Model and Growth Mixture Modeling (잠재성장모형과 성장혼합모형을 이용한 도서관 대출권수의 종단적 분석)

  • Heejin Park;Sungjae Park
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.1
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    • pp.45-68
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    • 2023
  • The purpose of this study is to longitudinally analyze impact factors on library use. One of library use indicators, the number of circulated books was statistically analyzed with latent growth model and growth mixture model. Library data from 2014 to 2019 were collected from the National Library Statistics System, and 846 public libraries were analyzed. As results, the number of circulated books were decreased, but it was tempered. Next, with controlling the factor affecting the dependent variable, the size of collection and the number of participants in reading programs provided by public libraries were statistically significant. Lastly, 5 classes were identified by applying the growth mixture model, and the number of librarians was significantly associated with trajectory class membership.

The Effects of the Dietary Lifestyle and Demographic Characteristics on the Brand Image of Restaurants with Nutritional Labeling (식생활라이프스타일과 인구통계적 특성이 외식영양표시 외식업체의 브랜드 이미지에 미치는 영향)

  • Kim, Na-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.548-556
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    • 2019
  • The purpose of this study is to analyze the impact of dietary lifestyles and demographic characteristics on the Brand image of restaurants with Nutritional labeling to provide basic marketing data for establishing differentiated Brand image strategies for restaurant businesses. To that end, the SPSS21.0 (ver.) program, frequency analysis, descriptive statistics, factor analysis, reliability analysis, correlation analysis, and multiple linear regression analysis were conducted to verify the hypothesis. As a result, the Brand image of restaurants with Nutritional labeling improved as the metropolitan area sought safety, non-capital area sought taste, males sought health, and females sought safety. In terms of age, it was analyzed that as more people in their 20s sought taste, those their 30s and 40s sought safety, and both married and unmarried people sought safety, the Brand image of restaurants with Nutritional labeling improved. In other words, it could be seen that people with Dietary lifestyles who pursued health and safety had positive images of restaurants with Nutritional labeling regardless of residential area, age, gender, marital status, or whether they had children.

An Empirical Study on the Determinants of Ownership Structure of Listed Companies in Korea : Evidence from Panel Data (우리나라 상장기업의 소유구조 결정요인에 관한 실증적 연구 : 패널자료로부터의 근거)

  • Lee, Hae-Young;Lee, Jae-Choon
    • The Korean Journal of Financial Management
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    • v.20 no.2
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    • pp.41-72
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    • 2003
  • The purposes of this paper are to build theoretical and empirically testable model to identify determining factors of ownership structure, and to analyze this model empirically using th Korea Stock Exchange panel data, and to test the impact of opening the stock market on the determinants of ownership structure. The determining factors of ownership structure identified in this paper include debt ratio, dividend, asset characteristics, profitability, growth business risk, size, institutional investors and chaebol-non chaebol dummy variable. Empirical panel estimation test reveals that this model can explain about $9\sim11%$ of the cross sectional variance in the equity ratio of large shareholders. The reasons that this model has too explanatory power are that some variables were measured with errors, and that there were some omitted variables in tested model. The regression results on the model variables ar generally in line with predictions. But the coefficient estimates on size is never significant. And it appears that the exogenous variable which explains opening the stock market has positive effect on the determinants of ownership structure.

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