• 한국직업건강간호학회지
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• 제22권1호
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• pp.1-12
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• 2013

Purpose: This study aims to test the validity and criteria-related reliability of the Korean version of the Copenhagen Psyco-social Questionnaire version II (COPSOQ-K) assessing the psychosocial working environment. Methods: The COPSOQ-K was developed through forward-backward translation techniques, and revision based on feedback from focus groups. Survey data were collected from 311 office workers who worked in one workplace. An internal consistency reliability was estimated by Cronbach's ${\alpha}$. The impacts of the COPSOQ-K scales on job satisfaction, self-rated health, stress, sleeping troubles, burnout, and sickness absence were analyzed with multiple regression model or multiple logistic regression model, adjusted age and gender using SAS version 9.3. The Pearson correlation coefficients between the COPSOQ-K scales and Korean job stress and its subdomain were identified. Results: Cronbach's ${\alpha}$ of COPSOQ-K scales was adequate or good (0.66~0.87). The major COPSOQ-K scales predict job satisfaction, self-rated health, stress, sleeping troubles burnout, and sickness absence. The major COPSOQ-K scales were correlated with Korean job stress and its subdomain. Conclusion: The COPSOQ-K scales have satisfactory reliability and criteria-related validity. The COPSOQ-K scales will be useful for the future studies and practices associated with psychosocial working environment.

• 동서간호학연구지
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• 제25권2호
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• pp.138-146
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• 2019

Purpose: The purpose of this study was to identify the factors influencing dementia preventive behavior intention of the elderly people based on the Health Belief Model. Methods: The participants included 113 elderly people who met the eligibility criteria. Demographic variables, variables of the Health Belief Model (perceived susceptibility, perceived severity, perceived benefit, perceived barrier, cues to action, general health motivation, and self efficacy), dementia fear and behavioral intention of dementia prevention were examined using structured self-report questionnaires. Statistical analysis was performed by stepwise multiple regression using SPSS for Windows version 21. Results: Self efficacy, alcohol drinking, perceived barrier and education level were significant factors, which explained 32% of the variance in dementia preventive behavior intention. Multiple regression analysis demonstrated that a powerful predictor of dementia preventive behavior intention of the elderly was self efficacy. Conclusion: Developing nursing intervention to enhance self efficacy toward improvement of dementia preventive behavior among elderly people would be recommended.

• 가정간호학회지
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• 제27권3호
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• pp.284-293
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• 2020

Purpose: Based on Anderson's model of health service utilization, we investigated the factors that affect the influenza vaccination status in Korean adults aged 50-64 years, who live alone. Methods: Data of 194 Korean adults aged 50-64 years, who live alone were obtained from the Korea National Health and Nutrition Examination Survey 7th Edition (2016-2018). Descriptive statistics and a multiple logistic regression model were used for statistical analysis. Results: The influenza vaccination rate in the study population was 39.3%. Educational status and health behaviors such as smoking habits and regular medical check-up were associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Multiple logistic regression analysis showed that educational level lower than middle school graduation (odds ratio [OR] 2.02), non-smoking status (OR 1.98), and lack of regular medical check-up (OR 0.62) were significantly associated with the influenza vaccination rate in Korean adults aged 50-64 years, who live alone. Conclusion: The influenza vaccination rate in Korean adults aged 50-64 years, who live alone, is relatively low; therefore, policies should be implemented to improve the influenza vaccination rate in this population. Influenza vaccination in single households was affected by health promotion activities; therefore, interventions are warranted to encourage overall health promotion activities.

• 산업경영시스템학회지
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• 제43권4호
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• pp.76-83
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• 2020

Postal logistics organizations are characterized as having high labor intensity and short response times. These characteristics, along with rapid change in mail volume, make load scheduling a fundamental concern. Load analysis of major postal infrastructures such as post offices, sorting centers, exchange centers, and delivery stations is required for optimal postal logistics operation. In particular, the performance of mail traffic forecasting is essential for optimizing the resource operation by accurate load analysis. This paper addresses a traffic forecast problem of postal parcel that arises at delivery stations of Korea Post. The main purpose of this paper is to describe a method for predicting short-term traffic of postal parcel based on self-similarity analysis and to introduce an application of the traffic prediction model to postal logistics system. The proposed scheme develops multiple regression models by the clusters resulted from feature engineering and individual models for delivery stations to reinforce prediction accuracy. The experiment with data supplied by main postal delivery stations shows the advantage in terms of prediction performance. Comparing with other technique, experimental results show that the proposed method improves the accuracy up to 45.8%.

• Membrane and Water Treatment
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• 제13권5호
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• pp.219-225
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• 2022

5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

• Journal of the Korean Statistical Society
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• 제26권3호
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• pp.299-308
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• 1997

In the simple linear regression model Y = .alpha.$_{0}$ + .beta.$_{0}$Z + .epsilon. under the right censorship of the response variables, the estimation of the mean lifetime E(Y) is an interesting problem. In this paper we propose a method of estimating E(Y) based on the observations modified by the arguments of Buckley and James (1979). It is shown that the proposed estimator is consistent and our proposed procedure in the simple linear regression case can be naturally extended to the multiple linear regression. Finally, we perform simulation studies to compare the proposed estimator with the estimator introduced by Gill (1983).83).

• 대한간호학회지
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• 제43권2호
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• pp.154-164
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• 2013

Purpose: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and 2) examining use and reporting of LR in the nursing literature. Methods: Text books on LR and research articles employing LR as main statistical analysis were reviewed. Twenty-three articles published between 2010 and 2011 in the Journal of Korean Academy of Nursing were analyzed for proper use and reporting of LR models. Results: Logistic regression from basic concepts such as odds, odds ratio, logit transformation and logistic curve, assumption, fitting, reporting and interpreting to cautions were presented. Substantial shortcomings were found in both use of LR and reporting of results. For many studies, sample size was not sufficiently large to call into question the accuracy of the regression model. Additionally, only one study reported validation analysis. Conclusion: Nursing researchers need to pay greater attention to guidelines concerning the use and reporting of LR models.

• Communications for Statistical Applications and Methods
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• 제11권3호
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• pp.643-655
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• 2004

L$_1$-estimator in the linear regression model is widely recognized to have superior robustness in the presence of vertical outliers. While the L$_1$-estimation procedures and algorithms have been developed quite well, less progress has been made with the hypothesis test in the multiple L$_1$-regression. This article suggests computer-intensive resampling approaches, jackknife and bootstrap methods, to estimating the variance of L$_1$-estimator and the scale parameter that are required to compute the test statistics. Monte Carlo simulation studies are performed to measure the power of tests in small samples. The simulation results indicate that bootstrap estimation method is the most powerful one when it is employed to the likelihood ratio test.

• 품질경영학회지
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• 제21권1호
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• pp.161-170
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• 1993

This study attempts to present the linear regression analysis that involves more than one regressor variable, because regression analysis is the most widely used statistical technique for describing, predicting and estimating the relationships between given data. The model of multiple linear regression may be solved directly by the two linear programming methods, i.e., to minimize the sum of the absolute deviation (MSD) and to minimize the maximum deviation(MMD). In addition, some results was compared to each techniques for accuracy and tested to the validity of statistical meaning.

• 디지털융복합연구
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• 제14권1호
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• pp.65-73
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• 2016

본 연구의 목적은 간호대학생의 리더십생활기술, 자아존중감 및 동아리 활동 정도를 파악하고 이들 간의 상관관계를 분석하며, 간호대학생의 리더십생활기술에 영향을 미치는 요인을 파악하기 위해 시행되었다. 연구대상자는 두 개의 광역시와 한 개의 시에 소재한 대학교 간호대학생 331명을 대상으로 하였으며 수집된 자료는 SPSS Win 20.0을 이용하여 백분율, 평균과 표준편차, t-test, ANOVA, Scheffe' test, Pearson's correlation coefficients, multiple regression으로 분석하였다. 연구결과는 첫째, 간호대학생의 리더십생활기술과 자아존중감은 유의한 양의 상관관계를 나타내었다. 둘째, 간호대학생의 리더십생활기술에 대한 위계적 회귀분석 결과, 리더십생활기술에 영향을 주는 예측요인은 자아존중감, 전공만족도였으며, 29.6%의 설명력을 나타냈다. 이러한 결과는 간호대학생의 리더십생활기술을 증진시키는 전략을 개발하는데 유용하게 활용될 것이다.