• Journal of Digital Convergence
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• v.15 no.2
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• pp.89-98
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• 2017

This study analyzed empirically the same data through SPSS statistics(regression analysis) and AMOS program(structural equation model) used for cause and effect analysis. The result of empirical analysis of moderation effect was as follows. Meanwhile, SPSS statistics(regression analysis) did not pictured moderation effect in the categorical data(sex) and continous data(satisfaction of consunting), AMOS program(structural equation model) pictured partial moderation effect about the effecting of consultant's capability and attitude on the consulting repurchase within 10% level of significant. Eventually, This study showed that AMOS program and SPSS statistics used different methology in moderation effect, thus the different outcomes appeared although using the same data.

• The Korean Journal of Applied Statistics
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• v.6 no.1
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• pp.163-172
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• 1993

A computer software for nonlinear regression analysis, NLIN90, was developed to provide easy access and useful information for more precise analysis which can be obtained from the newly developed theory. Together with the elementary statistics, it provides statistics for curvature analysis of model function and of each parameter, for curvaure analysis of transformed parameters, for experimental design analysis, and for residual analysis. Easy access is obtained by utilizing a database of nonlinear models.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.13 no.4
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• pp.120-126
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• 1999

;The consicErations for reminder life of transmission line is gradually higher. It is requisite for investigation of ACSR's life to test tensile load of ACSR as a fundamental data. It is vary important to analysis correlations between results of tensile load testing and elasped years. Estimation of ACSR's life can be obtained by statistics processing using mechanical experirrental results. It is a general method to use regression analysis as a statistics processing technique. In this paper, we did experiment on tensile strength of ACSR by using a new and old ACSR as sample experirrental materials. The limit of life estimation is decided by basic line using twenty percentage reduction of rate tensile strength. This basic line is like to results of Canada Ontario Hydro-research. There are $95[\textrm{mm}^2]$, $97[\textrm{mm}^2]$, $120[\textrm{mm}^2]$, $240[\textrm{mm}^2]$ ACSRs which are experimented on this study. 1be life estimation of these ACSR is presented by table 1 to be obtained through the linear regression and nonlinear regression analysis. SPSS and statistics toolbox of matlab is used for analysis.lysis.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.469-482
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• 2022

The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

• Journal of Industrial Convergence
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• v.20 no.10
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• pp.103-111
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• 2022

The purpose of this study was to identify the influencing factors on aging anxiety by middle-aged men in rural areas during the COVID-19 pandemics. The design of this study was descriptive survey study. The participants were 180 middle-aged men aged 45 to 64 living in G province. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis with SPSS statistics 26.0 program. As a result of regression analysis, As a result of regression analysis, influencing factors on aging anxiety were stress(β=.10, p=.004), economic difficulties (β=.16, p=.007), COVID-19 psychological distress(β=.18, p=.003), family care burdens(β=.50, p<.001), and the explanatory power of the variables was 60.5%(F=55.93, p<.001). In the future, interventions are needed to manage aging anxiety and stress in middle-aged men, and support policies are needed to reduce psychological distress and overcome economic difficulties caused by COVID-19.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.11-22
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• 2014

This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.465-471
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• 2016

This study intends to figure out the relationship between autonomy and achievement motivation of the university players. For this purpose, Survey was performed to Seoul and Metropolitan area's 25 sports 396 Players., And using SPSS 18 and AMOS program descriptive statistics, exploratory factor analysis, confirmatory factor analysis, reliability analysis were conducted. Based on purified data through the process, the relationship between autonomy and achievement motivation was verified with correlation analysis and regression analysis. As a result, autonomy was recognized by male player higher than female player, and in goal-orientation of the access tendency of achievement goal orientation, male player showed higher scores. And in mastery-avoidance of avoidance, female player showed higher scores and in performance-avoidance, male player showed higher scores. According to regression analysis, autonomy affects mastery-approach and achievement goal orientation of the performance-approach.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.559-568
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• 2020

The purpose of this study was to conduct a survey and analysis of 249 children of the Fragment Love Sharing Society to find out the impact of the association program on children. Correlation analysis was conducted using the SPSS Statistics 23 program to confirm the relationship between scholarship students and scholarship management institutions, and regression analysis was conducted to confirm the impact of the relationship between scholarship students and the scholarship management institution. According to the analysis, the higher the satisfaction level of scholarships, the higher the level of career proficiency and yesterday's happiness, and the more satisfied the child is with the benefits of the crumb scholarship, the higher the sense of self-respect, career maturity, and yesterday's happiness. Based on these findings, support measures were discussed for children with ties.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.297-305
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• 2020

The purpose of this study was to investigate Stress Coping Type, Professor-student Interaction, Major Satisfaction on Life Stress of Nursing Students. The data were collected using questionnaire from 146 nursing students, May 27 to May 30, 2018 at a college in the J city. The analysis of the data was done through SPSS 20.0/window statistical analysis by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression. Upon examining the correlation between Life Stress and Professor-student Interaction, Major Satisfaction the correlation was significant. The result of the multiple regression indicates the Professor-student Interaction(β=-.34, p<.001) predict 29.5%(F=9.70, p<.001). Based on the results of the study, it is expected to be used as basic data for various programs to improve professor - student interaction of nursing students.

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.282-291
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• 2012

This study investigated the job satisfaction of care worker affect on service quality. It was intended to provide the basic information for enhancing the Job satisfaction and making better quality of service. In order to meet the above purpose, the questionnaire method was applied for the care workers who worked at the 16 home care facilities located in Busan metropolitan city. 250 sheets of questionnaire were distributed and the total of 216 sheets were sampled among the collected questionnaire and analyzed. For data analysis, the statistics package of SPSS/WIN 12.0 was employed to perform reliability test, descriptive statistics analysis, correlation analysis, regression analysis. And the obtained results are as follows: As the result of the regression analysis to find out how care worker's job satisfaction will affect towards the quality of the service, service quality increased as the care worker's job satisfaction rate was higher. For the job satisfaction's sub-variables, it showed high service quality as the satisfaction was increased in the order of task satisfaction level and job safety level.