• Journal of the Korean Society for information Management
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• v.23 no.1 s.59
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• pp.243-259
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• 2006

This paper examines the values of various library functions according to users' points of view. To execute this study, the several 'circumstance', related variables and 'condition' variables that lead to factors or functions of academic libraries were measured. Analysis was carried out in three stages. In the first, factor analysis was used on the three multi variable dimensions to ensure that the groups of variables loaded significantly and uniquely on the respective dimensions. The second phase of analysis involved the use of binary logistic regression analysis to complete research models. In the third phase, t-test was used to identify significant differences in the independent variables for additional explanation of the models. Books, competition & effectiveness and fee verses free (fee-free hereafter) are the three main factors that distinguish not only the purpose of using an academic library but also the degree of influence on knowledge, information and library facilities for the users. In addition, the fee-free factor related to digital library facilities was also uncovered.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.1
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• pp.1-16
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• 2013

This study investigates the spatial distribution characteristics of Korean fashion industries during the last decade, in which the economic geography of fashion industries has changed dynamically with economic globalization and "thus resulted in increased" demand "of" diversification. In particular, this study examines the spatial distribution patterns of fashion industries in the Seoul metropolitan area where fashion industries are highly agglomerated. For the purpose, this study applies Moran's I Index of spatial autocorrelation analysis for seven functional sectors of fashion industries related to fashion production. The global and local agglomeration patterns are examined for each functional sector. The results clarify the distinction in the spatial agglomeration patterns among the seven functional sectors of fashion industries in the Seoul Metropolitan area. Logit models are developed to examine the interrelationships among functional sectors in their spatial agglomeration distribution patterns. By conducting binary logistic regression analysis, we find out how the spatial agglomeration of each functional sector is related to the others.

• Journal of Korean Neurosurgical Society
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• v.63 no.5
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• pp.640-648
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• 2020

Objective : This study aimed to assess the relationship between increased intracranial pressure (ICP) and mastoid effusions (ME). Methods : Between January 2015 and October 2018, patients who underwent intracranial surgery and had ICP monitoring catheters placed were enrolled. ICP was recorded hourly for at least 3 days. ME was determined by the emergence of opacification in mastoid air cells on follow-up brain imaging. C-reactive protein (CRP) levels, presence of endotracheal tube (ETT) and nasogastric tube (NGT), duration of intensive care unit (ICU) stay, duration of mechanical ventilator application, diagnosis, surgical modalities, and presence of sinusitis were recorded. Each factor's effect on the occurrence of ME was analyzed by binary logistic regression analyses. To analyze the independent effects of ICP as a predictor of ME a multivariable logistic regression analysis was performed. Results : Total of 61 (53%) out of 115 patients had ME. Among the patients who had unilateral brain lesions, 94% of subject (43/50) revealed the ipsilateral development of ME. ME developed at a mean of 11.1±6.2 days. The variables including mean ICP, peak ICP, age, trauma, CRP, ICU stays, application of mechanical ventilators and presence of ETT and NGT showed statistically significant difference between ME groups and non-ME groups in univariate analysis. Sex and the occurrence of sinusitis did not differ between two groups. Adding the ICP variables significantly improved the prediction of ME in multivariable logistic regression analysis. Conclusion : While multiple factors affect ME, this study demonstrates that ICP and ME are probably related. Further studies are needed to determine the mechanistic relationship between ICP and middle ear pressure.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.39-48
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• 2017

Purpose: The purpose of this study was to verify the relationships among social support, resilience and post traumatic stress disorder (PTSD), and especially to identify factors influencing PTSD in police crime scene investigators. Methods: A cross-sectional design was used, with a convenience sample of 226 police crime scene investigators from 7 Metropolitan Police Agencies. Data were collected through self-report questionnaires during July and August, 2015. Data were analyzed using t-test, ${\chi}^2$-test, Fisher's exact test, and binary logistic regression analysis with SPSS/WIN 21.0 program. Results: The mean score for PTSD in police crime scene investigators was 13.69 .11 points. Of the crime scene investigators 181 (80.1%) were in the low-risk group and 45 (19.9%) in high-risk group. Social support (t=5.68, p<.001) and resilience (t=5.47, p<.001) were higher in the low-risk group compared to the high-risk group. Logistic regression analysis showed that resilience (OR=4.74, 95% CI: 1.57~14.35), and social support (OR=2.13, 95% CI: 1.23~3.69) are effect factors for PTSD low group. Conclusion: For effective improvement of PTSD in police crime scene investigators, intervention programs including social support and strategies to increase should be established.

• Clinics in Shoulder and Elbow
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• v.16 no.1
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• pp.63-72
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• 2013

In medical research, multivariate analysis, especially multiple regression analysis, is used to analyze the influence of multiple variables on the result. Multiple regression analysis should include variables in the model and the problem of multi-collinearity as there are many variables as well as the basic assumption of regression analysis. The multiple regression model is expressed as the coefficient of determination, $R^2$ and the influence of independent variables on result as a regression coefficient, ${\beta}$. Multiple regression analysis can be divided into multiple linear regression analysis, multiple logistic regression analysis, and Cox regression analysis according to the type of dependent variables (continuous variable, categorical variable (binary logit), and state variable, respectively), and the influence of variables on the result is evaluated by regression coefficient${\beta}$, odds ratio, and hazard ratio, respectively. The knowledge of multivariate analysis enables clinicians to analyze the result accurately and to design the further research efficiently.

• Journal of the Economic Geographical Society of Korea
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• v.19 no.1
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• pp.104-121
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• 2016

This study was conducted in order to investigate the factors affecting the elderly employment and especially focused on the factor of their residential areas. This paper performs binary logistic regression analysis with the micro data of 2014 Survey of Living Conditions and Welfare Needs of Older Koreans. To reveal the influence on the elderly employment, various dependent variables was used such as demographical, health, household, economic, lifelong job, living environment, and residential area characteristics. The elderly in rural areas have higher possibility of currently working than those in urban areas. Based on the results, more various and complex factors affected on the employment of the urban elderly. This suggested that differentiated policy supports were needed in the urban and rural areas.

• Journal of Korean Society of Transportation
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• v.26 no.1
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• pp.155-164
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• 2008

Variable Message Signs (VMS) is one of the major components for Intelligent Transport Systems (ITS) services that provides real-time traffic and incident information to drivers. The objective of this research was to develop a method determining the optimal location of VMS considering safety and driving characteristics of various drivers. A driving simulator was utilized to evaluate how drivers can safely exit to off-ramp depending on various VMS locations while information relating route diversion was provided. The binary logistic regression and factor analysis were applied in developing a probability model that predicts the success of safe off-ramp exiting. Based on the developed probability model, a method to estimate the spacing between VMS and off-ramp is suggested. It is expected that the products of this study would be utilized as a tool in determining VMS locations for ITS planners and designers.

• Journal of the East Asian Society of Dietary Life
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• v.23 no.2
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• pp.133-140
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• 2013

The purpose of this study was to investigate perception and awareness of yaksun and willingness to eat yaksun in the future, and to examine the factors affecting intake behavior of yaksun of adults in Daegu and Gyeongbuk region. The data were collected in April, 2011 through a self-administered questionnaire. Chi-square test, t test, and binary logistic regression were conducted by SPSS Windows V.19.0. The results were as follows. Almost sixty-six percent of the respondents answered that they knew yaksun. The perception level of yaksun for the intake respondents was higher than that of non-intake respondents. Additionally, many respondents agreed to varied menu development and convenient-food development of yaksun. Intake respondents showed higher level of agreement for the varied menu development of yaksun than non-intake respondents. On the other hand, four fifths of the respondents showed that they would be willing to eat yaksun in the future. The level of willingness to eat yaksun in the future for the intake respondents was higher than that of non-intake respondents. Additionally, the respondents who knew yaksun showed higher level of willingness to eat it than those who did not know it. Finally, the result of binary logistic regression analysis for intake behavior of yaksun showed that gender, educational level, and the awareness of yaksun were significant. On the basis of these results, not only the promotion of yaksun to consumers but also the development of convenient foods, varied menus for different age groups, and menus with cheap prices are needed to raise yaksun popularity.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.1-16
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• 2022

Recently, e-scooters have been attracting attention as eco-friendly modes of transportation in cities due to an increasing interest in the environment. Accordingly, various studies on usage behavior are being conducted, but studies that reflect individual travel attitudes are insufficient. Therefore, this study surveyed commuters in Seoul and analyzed respondents' traveling attitudes through factor analysis. It also built a binary logistic regression model for the intention to use shared e-scooters to determine how individual travel behaviors are affected. In particular, the model results showed that age, the main mode of transportation (car), walking time to the bus stop, and four travel attitude variables (disutility of travel, preference to self-drive, internet/smartphone friendliness, and willingness to pay extra money for services) significantly affected the intention to use shared e-scooters. This study is expected to be used as basic data, with aspect to travel behavior, for the efficient operation and use of shared e-scooters in the future.

• Journal of Korean Society of Transportation
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• v.33 no.2
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• pp.125-135
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• 2015

In this study our main focus is to verify the relationship between social value of transportation system and its perceived features. To achieve this objective, we investigated the value of public bike system (PBS) through willingness to pay (WTP) analysis using contingent valuation method (CVM) and the survey was conducted for 1726 respondents who live in Suwon, Korea. Moreover the determinants related to features related to bicycle use were also gathered. The estimated binary logistic regression and censored regression reveal that the value of PBS is influenced by perceived features towards bicycle use incorporating non-congestion, transportation mode like auto and bus, and high mobility system as well as other variables such as income, bicycle ownership etc. Furthermore the results show that the perceiving of positive features to bicycle use leads to higher social value of PBS. Based on the findings, we discuss the importance of pre-review for transport policy implementation, and also explore the possibilities for application to PBS.