• 노동경제논집
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• 제43권4호
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• pp.179-203
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• 2020

본 연구는 사업체패널조사와 노동패널조사를 사용하여 노동조합이 교육훈련에 미치는 영향을 비교·분석하였다. 상관임의효과(Correlated Random Effect: CRE) 모형을 적용한 사업체 및 개인 단위의 분석 결과를 살펴보면, 두 결과 모두에서 노동조합은 교육훈련을 증가시키는 것으로 나타났다. 노동조합의 존재는 사업체의 교육훈련 실시를 약 4.7%p, 개별 근로자들의 교육훈련 참여를 약 1.7%p 높이는 것으로 추정되었으며, 이상의 분석 결과는 근로자를 위한 교육훈련을 늘리기 위한 노동조합의 역할을 시사하고 있다.

• 한국보건간호학회지
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• 제23권1호
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• pp.101-112
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• 2009

Purpose: The study was to assess marital satisfaction. needs for help, and stress of immigrant women. Method: The study employed a descriptive design of data collection. Structured Questionaires were given to the subjects; 144 women who immigrated to Korea through marriage. The data were then analyzed using $x^2$-test, one way ANOVA, and Pearson's Correlation. Results: Stress of immigrant women was significantly different according to their nationality. Housework was the highest among stress domains, the next were finance, husband, parents in law, health, children, and friends. Among these, the subject's stress was significantly correlated to the domains of husband and parents in law. The level of immigrant women's marital satisfaction was significantly different according to their job. Immigrant women's Korean proficiency was correlated to marital satisfaction and their marital satisfaction was significantly correlated to stress. Needs for help of immigrant women were rated in the following order : communication, the raising of children, culture and institution, finance, employment, socialization, marriage problem, discrimination, and self development. Conclusion: The findings of this study could be useful to help develop new programmes, and to support existing projects that help immigrant women integrate into Korean society.

• 근관절건강학회지
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• 제11권2호
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• pp.187-198
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• 2004

Purpose: The purpose of this study was to identify differences of BMI, pain, depression, self-esteem and self-efficacy between rheumatoid arthritis and osteoarthritis patients. Method: The study subjects were 135 persons having chronic arthritis at rheumatology clinic and the department of orthopedic surgery of the C university hospital in D city. The data were collected from February 19th to April 7th, 2003. The data analysis consisted of $X^{2}-test$, t-test, Pearson Correlation Coefficient, and multiple regression using SPSSWIN 10.0 program. Result: 1. There were significant differences in age(p=0.000), occupation(p=0.015), marriage(p=0.028), duration of illness(p=0.000), BMI(p=0.006) and Self-efficacy(p=0.017) between rheumatoid arthritis and osteoarthritis patients. 2. In rheumatoid arthritis, the BMI and self-esteem(r=-0.239, p=0.05) were significantly correlated and also pain and self-esteem(r=-0.402, p=0.01), pain and self-efficacy(r=-0.455, p=0.01) were significantly negatively correlated. The self-esteem and depression(r=-0.622, p=0.01), self-efficacy and depression(r=-0.729, p=0.01) were significantly negatively correlated and also pain and depression(r=0.432, p=0.01), self-esteem and self-efficacy(r=-0.476, p=0.01) were significantly positively correlated. In osteoarthritis, the pain and self-esteem(r=-0.225, p=0.01) were significantly negatively correlated and also pain and self-efficacy(r=-0.493, p=0.01), self-esteem and depression(r=-0.692, p=0.01), self-efficacy and depression(r=-0.566, p=0.01) were significantly negatively correlated. The pain and depression(r=0.290, p=0.05), self-esteem and self-efficacy(r=0.383, p=0.01) were significantly positively correlated. 3. The factors influenced by the self-efficacy, the depression and age in rheumatoid arthritis explained 56.2%, the depression and pain in osteoarthritis explained 43.9%. The factors influenced by the BMI, the self-esteem in rheumatoid arthritis explained 5.7%, but there was no significantly variable in osteoarthritis. Conclusion: The results support the importance of different nursing intervention focused on BMI and self-efficacy in patients with rheumatoid arthritis and osteoarthritis. There is a need for further studies to identify relation of variables in different diseases related to arthritis.

• Journal of the Korean Data and Information Science Society
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• 제17권4호
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• pp.1053-1065
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• 2006

This paper proposes a method in one-way layouts for longitudinal data with informative drop-out. When dropouts are informative, that is, correlated with unobserved data and/or the previous observed data, the simple imputation methods such as 'last observation carried forward' (LOCF) methods would arise the bias of the testing models. The maximum likelihood procedure combined with a logit model for the drop-out process is proposed to test treatment effects for one factorial designs and compared with LOCF method in two examples.

• 정신신체의학
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• 제11권2호
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• pp.182-195
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• 2003

연구배경 및 목적: 결혼은 인생의 주요 사건 중의 하나로, 개인의 행복과 인생의 의미의 근원이며 결혼 생활의 적응은 개인의 대인 관계 및 정신 건강에 중요한 영향을 미친다. 성공적인 결혼 생활을 예측할 수 있는 몇 가지 요인이 있는데, 그 중에서 개인의 성격은 결혼의 안정, 만족, 행복을 달성하고 유지하는데 중요한 요인으로 작용한다. 따라서 본 연구에서는 도시 지역의 기혼 여성을 대상으로 성격 차원은 부부간의 적응도와 어떠한 관련이 있는지 알아보았다. 방 법: 기혼 여성 170명을 대상으로 인구통계학적 자료, DAS, EPQ, BDI 및 STAI의 기술 통계치를 구하고 Pearson의 적률 상관을 통해 각 자료간의 상관 관계를 분석하였다. 위계적 중다 회귀 분석을 통해 불안과 우울을 통제한 상태에서 부부 적응도와 성격 차원과의 관련을 보았다. 결 과: 연령과 결혼 기간이 증가할수록 애정 표현과 응집도는 감소하였다. 학력의 증가에 따라 전체 부부 적응도와 만족도가 증가하였고, 가족 소득의 증가에 따라 전체 부부 적응도 및 만족도, 일치도, 응집도가 증가하였다. 부부만 사는 가족은 전체 결혼 적응도, 만족도, 응집도에서 부부와 자녀로 구성된 핵가족, 그리고 기타가족이 포함된 확대 가족과 유의미한 차이를 보였다. 정신병적 경향성이 증가할수록 전체 부부 적응도, 일치도, 만족도, 애정 표현, 응집도가 감소했으며 신경증적 경향성이 증가할수록 전체 부부 적응도, 만족도, 일치도, 애정 표현이 감소하였다. 외향성과 허위성은 전체 부부 적응도 및 하부 요인과 상관 관계를 보이지 않았다. 우울과 불안을 통제한 상태에서는 정신병적 경향성이 전체 부부 적응도, 만족도, 일치도에 영향을 미치는 것으로 나타났다. 결 론: 연령, 결혼 기간, 학력, 소득, 가족형태 등의 인구통계학적 변인들 및 정신병적 경향성, 신경증적 경향성의 성격 차원이 부부 적응도와 상관 관계를 보였으며, 신경증적 경향성은 우울과 불안 등의 정서 상태를 매개로 하여 부부 적응도에 영향을 미침을 알 수 있었다. 이를 통해서 개인의 성격은 부부간의 적응과 밀접하게 관련되어 있으며, 결혼 문제를 다룰 때 치료자는 개인의 성격 측면에 대해 고려할 필요가 있음을 알 수 있었다. 향후 정상 대조군과 정신과 질환군 간, 그리고 부부간에서는 성격 차원에 따른 부부 적응도에 어떠한 차이가 있는가에 대한 후속 연구가 있어야 할 것으로 생각된다.

• 품질경영학회지
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• 제49권4호
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• pp.539-550
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• 2021

Purpose: The purpose of this study is to propose a multivariate CUSUM control chart that can detect the out-of-control state fast while monitoring the cross- and auto- correlated multivariate time series data. Methods: We first build models to estimate the observation data and calculate the corresponding residuals. After then, a multivariate CUSUM chart is applied to monitor the residuals instead of the original raw observation data. Vector Autoregression and Artificial Neural Net are selected for the modelling, and Separated-MCUSUM chart is selected for the monitoring. The suggested methods are tested under a number of experimental settings and the performances are compared with those of other existing methods. Results: We find that Artificial Neural Net is more appropriate than Vector Autoregression for the modelling and show the combination of Separated-MCUSUM with Artificial Neural Net outperforms the other alternatives considered in this paper. Conclusion: The suggested chart has many advantages. It can monitor the complicated multivariate data with cross- and auto- correlation, and detects the out-of-control state fast. Unlike other CUSUM charts finding their control limits by trial and error simulation, the suggested chart saves lots of time and effort by approximating its control limit mathematically. We expect that the suggested chart performs not only effectively but also efficiently for monitoring the process with complicated correlations and frequently-changed parameters.

• 품질경영학회지
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• 제47권2호
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• pp.271-281
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• 2019

Purpose: The purpose of this study is to suggest a more efficient distance measure taking into account the relationship between categorical variables for categorical data cluster analysis. Methods: In this study, the association-based dissimilarity was employed to calculate the distance between two categorical data observations and the distance obtained from the association-based dissimilarity was applied to the PAM cluster algorithms to verify its effectiveness. The strength of association between two different categorical variables can be calculated using a mixture of dissimilarities between the conditional probability distributions of other categorical variables, given these two categorical values. In particular, this method is suitable for datasets whose categorical variables are highly correlated. Results: The simulation results using several real life data showed that the proposed distance which considered relationships among the categorical variables generally yielded better clustering performance than the Hamming distance. In addition, as the number of correlated variables was increasing, the difference in the performance of the two clustering methods based on different distance measures became statistically more significant. Conclusion: This study revealed that the adoption of the relationship between categorical variables using our proposed method positively affected the results of cluster analysis.

• 대한건축학회논문집:계획계
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• 제36권5호
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• pp.53-58
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• 2020

The purpose of this study is to build a database of Spatial information Bigdata of cities using satellite images and spatial information, and to examine the correlations with the surface temperature. Using architectural structure and usage in building information, DEM and Slope topographical information for constructed with 300 × 300 mesh grids for Busan. The satellite image is used to prepare the Normalized Difference Built-up Index (NDBI), Normalized Difference Vegetation Index (NDVI), Bare Soil Index (BI), and Land Surface Temperature (LST). In addition, the building area in the grid was calculated and the building ratio was constructed to build the urban environment DB. In architectural structure, positive correlation was found in masonry and concrete structures. On the terrain, negative correlations were observed between DEM and slope. NDBI and BI were positively correlated, and NDVI was negatively correlated. The higher the Building ratio, the higher the surface temperature. It was found that the urban environment DB could be used as a basic data for urban environment analysis, and it was possible to quantitatively grasp the impact on the architecture and urban environment by adding local meteorological factors. This result is expected to be used as basic data for future urban environment planning and disaster prevention data construction.

• 한국연초학회지
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• 제27권1호
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• pp.134-140
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• 2005

The purpose of this study was the discrimination of different tobacco types by the E-Nose/tongue and the analysis of what human sensory attributes are correlated with e-instrument's sensors. Samples were made from five groups of Korean domestic tobacco leaves, aged burley and not aged, aged flue-cured and not aged and blending types of the four. Instrumental tests were conducted to discriminate characteristics among different tobacco samples by the E-Nose and the E-Tongue. Sensory attributes of tobacco tastes were impact, irritation, bitterness, hay-like, tobacco taste, smoke volume, smoke pungent and mouth cleanness. STATISTICA software was used to analyze correlation between the human sensory data and the raw data of e-instruments. Discrimination analysis can be achieved using principal components analysis (PCA) and discriminant factorial analysis(DFA). As a result, impact, bitterness, irritation, smoke volume and smoke pungent of human sensory attributes were correlated with data from the several clustered E-Nose sensors(p < 0.10). And bitterness, irritation, and smoke pungent of human sensory attributes were correlated with data from the E-Tongue sensors(p < 0.10). PCA plot by the E-Nose shows that aged tobacco and not aged were discriminated and DFA plot shows that three groups(aged burley, not aged burley and flue-cured) were discriminated. PCA plot by the E- Tongue shows that flue-cured tobacco was separated from burley. Our results indicated that the e-instruments are sensitive enough to distinguish among tobacco types and their several sensors are reacted to the human sensory attributes.

• 대한조현병학회지
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• 제22권2호
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• pp.34-41
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• 2019

Objectives: This study was performed to examine the effects of the public attention to 'crime of schizophrenia' on the use of mental health services in patients with schizophrenia using big data analysis. Methods: Data on the frequency of internet searches for 'crime of schizophrenia' and the patterns of mental health service utilization by patients with schizophrenia spectrum disorders by month were collected from Naver big data and the Health Insurance Review and Assessment Services in Korea, respectively. Their correlations in the same and following month for lagged effect were examined. Results: The number of outpatients correlated negatively with public attention to 'crime of schizophrenia' in the same month. The lagged relationship between public attention and the number of admissions in psychiatric wards was also found. In terms of sex differences, the use of outpatient services among female patients correlated negatively with public attention in the same month while the number of male patients' admissions in both same and following month correlated positively with public attention. Conclusion: These findings suggested that public attention to 'crime of schizophrenia' could negatively affect illness behavior in patients with schizophrenia.