• 한국노년학
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• v.39 no.1
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• pp.37-60
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• 2019

This study was attempt to derive the aging trajectories of Korean elderly people and identify its characteristics. In particular, this study used the successful aging model of Rowe and Kahn as an analytical framework. Using the Korean Longitudinal Study of Ageing(KLoSA), this study applied group-based multi-trajectory analysis to identify multiple aging trajectories in sample of Korean elder aged 65~74(n=2,682). This study also used several demographic characteristics as baseline predictors to identify the characteristics of each aging trajectory. Five dimensions were analyzed in the multi-trajectory model: chronic disease, physical functional limitation, cognitive functioning, depressive symptom and social engagement. As a result of the analysis, five aging trajectories were identified: successful aging(17.8%), usual aging (33.9%), health declining aging(18.2%), pathological aging(7.9%), and aging with mild cognitive impairment(22.1%). In general, the odds of experiencing successful aging were high in men, low-aged, highly educated, high-income, and spousal elderly. On the other hand, for the elderly, who are under-educated, low-income, and high-aged, there was a high probability of experiencing a relatively difficult aging process. In particular, the odds of experiencing a mild cognitive impairment aging was high in older, lower-income women without a spouse.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.971-986
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• 2014

When thousands of hypotheses are tested simultaneously, the probability of rejecting any true hypotheses increases, and large multiplicity problems are generated. To solve these problems, researchers have proposed different approaches to multiple testing methods, considering family-wise error rate (FWER), false discovery rate (FDR) or false nondiscovery rate (FNR) as a type I error and some test statistics. In this article, we discuss Bonferroni (1960), Holm (1979), Benjamini and Hochberg (1995) and Benjamini and Yekutieli (2001) procedures based on T statistics, modified T statistics or local-pooled-error (LPE) statistics. We also consider Sun and Cai (2007) procedure based on Z statistics. These procedures are compared in the simulation and applied to Arabidopsis microarray gene expression data to identify differentially expressed genes.

• The Korean Journal of Applied Statistics
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• v.15 no.1
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• pp.85-105
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• 2002

To explore the relationships among frequencies for sets of alleles, within or between loci, is one of the first analyses in population genetic study. The general question is whether the frequency of a set of alleles is the same as the product of each of the separate allele frequencies. For two alleles of a single locus, Hardy-Weinberg equilibrium is tested and for an allele from each of two loci, linkage disequilibrium is tested. However, it is more useful if we can quantify and graphically represent this information. In this study, we suggest graphical methods to find associations between alleles. We also analyze the STR data of Korean population as an illustration.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.49-79
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• 2017

본 연구는 2011년 "원자력안전법" 제정 사례에 있어 정책의제 설정 과정을 동태적으로 이해하기 위해 다중흐름모형을 활용하여 분석을 수행하였다. 연구범위는 이명박 정부와 제18대 국회임기가 겹치는 기간인 2009년부터 2011년 간 기간으로서, 동 기간은 UAE 원전수출과 후쿠시마 원전사고라는 정 반대의 초점사건이 발생하면서 두 차례 의제설정 여부를 결정하는 정책의 창이 개방되었다. 분석결과, 문제의 흐름 영역에서는 정부의 원자력 정책에 있어 진흥과 규제기능을 별도 법령으로 분리하고 독립된 예산 및 전담조직을 구성하는 체계를 구축해야 한다는 문제는 장기간 존재해왔다. 1990년대부터 소수의 법학자들을 중심으로 문제인식과 대안제시가 이뤄지는 정책의 흐름이 발전되어 왔는데, 이후 UAE 원전수출 이후 2010년에 이르러서야 본격적으로 표출집단인 관료와 국회의원을 통해 구체적 대안이 제시되었고, 2011년 후쿠시마 원전사고 직후인 5월 원자력안전법이 제정되었다. 분석결과, 2009년 UAE원전수출 이후, 수출 확대 목적으로 제시된 원자력 규제 독립 법안이 통과되지 못했던 것에 반해, 2011년 후쿠시마 이후 원자력안전법이 통과 된 이유는 대안의 가치정합성, 사회여론, 정치환경 등 정치의 흐름이 크게 작용한 것으로 분석되었다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.14 no.5
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• pp.13-22
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• 2015

These days, human behavior (human factor), the main cause of traffic accidents, has drawn more attention. Research on driving behavior based on DBQ(Driver Behavior Questionnaire), the analysis tool of driving behavior, has been conducted actively. In domestic previous studies, their analysis subjects were limited to researchers or military officials, and their analysis methods were based on factor analysis and regression analysis. Therefore, this study tries to find the factors of general drivers' driving behavior that influence risk driving, and to analyze their influential relationship. Regarding study scope, general drivers with driving career were asked to answer DBQ questionnaire, and 300 effective samples were analyzed. In addition, previous studies were investigated to draw the three measurable attributes of DBQ-'Lapse, Mistake, and Violation'-as main factors of traffic accidents, and structural equation model was applied to design risk driving behavior model. To identify the difference between risk driving groups, this study made use of multiple group analysis. The analysis came to the following results: First, according to the examination of the hypothesis that 'Lapse, Mistake, and Violation factors will influence risk driving behavior', all factors were found to be statistically significant. Regarding their level of influence on risk driving behavior, Violation was 0.464, Lapse 0.383, and Mistake 0.158, and thus Violation was analyzed to be the most influential. Secondly, according to the examination of the hypothesis that 'the influence of Lapse, Mistake, and Violation factors on risk driving behavior will be different by risk group', the influence of Lapse on risk driving behavior was found to be different by risk group. It is expected that the study results will be used as a fundamental program to introduce traffic accident prevention program and education that takes violation and lapse into consideration.

• 한국노년학
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• v.32 no.2
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• pp.359-376
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• 2012

The present study empirically confirmed knowledge of ageing and quality of contact were predictors affecting middle-aged Korean's ageism against the elderly and verified mediating role of intergroup anxiety between not only knowledge of ageing but also quality of contact and ageism. To investigate causalities of factors, we purposively collected 400 samples from 20 Dongs evenly located in Jeonju and 393 samples, survived the data cleaning such as missing values, outliers, normality and covariance conditions, were analyzed by frequency, factor analysis, reliability, confirmatory factor analysis and structural model analysis. Followed were the selected contributions of the present study. First, the knowledge of ageing and quality of contact were predictors of ageism mediated by intergroup anxiety. Second, the knowledge of ageing and quality of contact did not directly affect middle-aged Korean's ageism against the elderly. Third, intergroup anxiety had strong effect on ageism. The contributions suggested increasing knowledge of ageing and providing contact experience to middle-aged Korean as combating strategy against ageism.

• 한국노년학
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• v.38 no.2
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• pp.329-349
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• 2018

The objective of this study is to examine whether there are differences in participation in social activities and the effects of social activity types on the levels of happiness of the Korean older adults by age groups. The 5th wave(2014) of the Korean Longitudinal Study of Ageing (KLoSA) was used and a total of 3,273 elderly were selected from the 5th wave, who were 65 years old and older and who were not living with their offsprings. Chi-square test, ANOVA, and hierarchical multiple regression analysis were used. The rate of participation in economic activities declined with age and the levels of participation in leisure activities was higher in the young-old group in comparison to the middle- and the oldest- old groups. The levels of participation in family activities was higher in the middle- and the oldest-old groups in comparison to the young-old group. Socializing activities and religious activities measured by the frequencies of activities were not significantly different among the age groups. The results of a regression analysis of social activity types and their effects on happiness by age groups are the followings: 1) Leisure, socializing, religious, and family activities all (with the exception of economic activities) significantly affected the level of happiness of older persons in the young-old group. 2) However, only socializing and family activities in the middle-old age group, and only family activities in oldest-old group, had a statistically significant impact on the levels of happiness. These results support that the rates of participation in the five types of social activities and their effects on the levels of happiness were different by age groups. The implication of this study was to report that needs and the interests of older individuals are different by age groups based on empirical evidences.

• 한국노년학
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• v.39 no.3
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• pp.467-484
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• 2019

The purpose of this study is to explore latent classes of longitudinal medical expenses of older people and to analyze its predictors and its effects on subjective health. Among participants of the Korean Health Panel, the sample of this study includes 1,119 people who is 65-year-old or older and reported their medical expenses for nine consecutive years. The analyses were conducted in three steps. First, Growth Mixture Model (GMM) was applied to find distinct subgroups showing similar patterns in medical expenses. The results showed four groups which were classified as high medical expenditure maintenance group, medical expenditure increase group, low medical expenditure maintenance group, and medical expenditure reduction group. Second, the multinominal logistic regression found that the presence of spouse, economic participation, the number of chronic diseases, and the type of health insurance were significant predictors of latent classes in medical expenses. In particular, the greater the number of chronic diseases, the higher the likelihood of belonging to the high medical expenditure maintenance group. In addition, medical benefit recipients are more likely to belong to the low medical cost maintenance and medical cost reduction groups. Third, multiple regression analysis revealed that the older people in the groups with low or reducing expenses reported better subjective health than people with higher expenses. This study has its meanings in exploring the heterogeneity in longitudinal medical expenses among older people and its predictors and its associations with health outcome. The results of this research provide background information in establishing public health policy for older people.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.12 s.138
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• pp.1545-1553
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• 2004

This study assumes a bidimensional model of acculturation theory in order to understand the acculturation patterns of Korean-Americans and their fashion and shopping behavior. Bidimensional models of acculturation suggest that acculturating individuals may possess the components of both the heritage culture and the new, host culture. A combination of email and paper and pencil surveys was conducted with a convenience sample of Korean-Americans who are living in Seattle and vicinity area (n=108). The questionnaire included questions related to the respondents' and their parents' demographic information, the respondents perceived relationship with their parents, self-reported ethnic identification, ethnicity-related behaviors/attitudes, clothing involvement, shopping motivations, and fashion reference groups. The results support the bidimensional models of acculturation process as opposed to the linear model. Three different groups among Korean-Americans based on their ethnic identification pattern were found: a group with dominant Korean identity(Segregation group), a group with dominant American identity(Assimilation group), and a group with dual identity(Integration group). According to the results of MANOVA and subsequent Duncan and Scheffe tests, the Integration group showed distinct characteristics from Segregation group or Assimilation group, in terms of their ethnicity-related behaviors/attitudes, clothing involvement, shopping motivations, and fashion reference group influence.

• Knowledge Management Research
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• v.20 no.2
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• pp.1-24
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• 2019

This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.