• Journal of Korean Academy of Fundamentals of Nursing
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• v.19 no.4
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• pp.425-433
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• 2012

Purpose: The purpose of this study was to investigate sleep patterns and predictors of excessive daytime sleepiness (EDS) in university students. Methods: Participants were 120 university students who were attending two universities in S-city and C-city. Data were collected from May 20 to June 15, 2012 using self-report questionnaires which included Johns' Epworth Sleepiness Scale, Yi's Sleep Quality Scale, and Beck Depression Inventory. Data were digitalized and analyzed using frequency, percentages, means and standard deviations, Wilcoxon rank sum test, Chi-square test, Fisher's exact test, and multiple logistic regression with SAS 9.0. Results: Mean total sleep time was 6.6 hours on weekdays, 8.1 hours on weekends. Mean sleep latency was 19.1 minutes and the score for mean sleep quality was 22.6. Prevalence of EDS was 12.5%. Depression was significantly different between EDS and Non-EDS students (t=2.17, p=.030). Multiple logistic regression showed that the only factor associated with EDS was depression (adjusted odds ratio of depression=5.33, 95% Confidence Interval=1.49-19.04). Conclusion: Results of this study indicate that university students experience short sleep time, low sleep quality, and common EDS with depression, suggesting that students with complaints of EDS should be completely assessed for depression as well as sleep problems.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.499-504
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• 2020

Service quality of any institution is a pull factor for attracting and retaining the customer. The present study examines the customer satisfaction level toward the quality of service offered by the Islamic banks in Oman. It also aims to find out which dimension influences customer satisfaction more concerning the other dimension chosen for the study. To fulfil the need of the study, a structured questionnaire is distributed amongst 100 customers of Islamic banks. The random stratified sampling technique is used for the collection of the data. The collected data is analyzed using the correlation and the multiple linear regression techniques. The result of the study indicates that timely service provided by the banking personnel has a mean score of 4.57, bank staff readiness to serve the customer has a mean score of 4.36, and the security of the banking operation has a mean score of 4.37 occupies the highest rank in their respective dimension chosen for the study. The study reveals that all three dimensions of quality of service represented by Services Reliability, Services Responsiveness and Services Security have a positive and significant correlation with customer satisfaction. The regression results also indicate that all three dimensions influence customer satisfaction of the Islamic banks.

• Journal of muscle and joint health
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• v.21 no.3
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• pp.165-172
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• 2014

Purpose: The purpose of this study was to identify effects of postural habits and stress on low back pain experienced by nursing students. Methods: The survey was conducted with 282 students at 5 nursing schools in Seoul, Incheon, Chungcheongbuk, and Jeollabuk Province. Data were collected from October, 2013 to January, 2014. Data analyses including descriptive analysis, ANOVA, Pearson's correlation coefficient, Spearman's rank correlation coefficients, and multiple regression were performed using SPSS 21.0. Results: In multiple regression, habit of standing on force of one feet (${\beta}=.23$, p<.001), habit of sleeping on one's back (${\beta}=-.19$, p=.020), habit of resting the chin on one's hands (${\beta}=.15$, p=.029), and habit of carrying a bag on one shoulder (${\beta}=.12$, p=.011) were associated with low back pain experienced by nursing students. These factors accounted for 12.9% of the variance in the low back pain in undergraduate students. Conclusion: These results suggest that low back pain in nursing students are related to their habits of posture in daily life. Therefore, intervention program to encourage healthy postural habits can be effective to prevent low back pain in nursing students.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2005.04a
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• pp.85-89
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• 2005

Lineament maps are the important tools that may reveal points of groundwater recharge, flow and development. In particular, groundwater flows and yields in mountainous area, composed of crystalline rocks with many fractures, are governed mainly by the lineaments corresponding to fractures, joints and faults. Lineaments may give important information on the best distribution of wells and their management. For two districts; Pohang and Cheonan, the relationship between lineament and groundwater factors was analyzed. To compare groundwater productivity, storativity, and transmissivity of a well site along the distance to lineament, the distances to lineament was regrouped into five groups with an equal range, 100m, for the Pohang district and they are also divided into five groups with an equal range, 150m, for the Cheonan district. From the results of the Spearman Rank Correlation Analysis and Kendall Analysis for each group, the means of SPC and T of wells which are located near lineaments generally have large values. The means of SPC and T show a reverse linear relationship with a lineament distance, but the means of S shows a disperse distribution and no distinct linear relation. Result of the linear regression model between SPC and lineament length density shows that it will be effective to use the lineament length density map when finding the optimal well site on a regional scale.

• Nuclear Engineering and Technology
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• v.28 no.6
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• pp.507-521
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• 1996

Quantification of uncertainties in the source term estimations by a large computer code, such as MELCOR and MAAP, is an essential process of the current Probabilistic safety assessment. The main objective of the present study is to investigate the applicability of a combined procedure of the response surface method (RSM) based on input determined from a statistical design and the Latin hypercube sampling (LHS) technique for the uncertainty analysis of CsI release fractions under a Hypothetical severe accident sequence of a station blackout at Younggwang nuclear power plant using MAAP3. OB code as a benchmark problem. On the basis of the results obtained in the present work, the RSM is recommended to be used as a principal tool for an overall uncertainty analysis in source term quantifications, while using the LHS in the calculations of standardized regression coefficients (SRC) and standardized rank regression coefficient (SRRC) to determine the subset of the most important input parameters in the final screening step and to check the cumulative distribution functions obtained by RSM. Verification of the response surface model for its sufficient accuracy is a prerequisite for the reliability of the final results that can be obtained by the combined procedure proposed in the present work.

• Journal of Korea Port Economic Association
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• v.32 no.4
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• pp.73-87
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• 2016

The purpose of this study is to investigate the empirical results of Analytic Hierarchy Process/Data Envelopment Analysis-Assurance Region(AHP/DEA-AR) by using multiple regression analysis during the period of 2009-2012 with 5 inputs (number of gantry cranes, number of berth, berth length, terminal yard, and mean depth) and 2 outputs (container TEU, and number of direct calling shipping companies). Assurance Region(AR) is the most important tool to measure the efficiency of seaports, because individual seaports are characterized in terms of inputs and outputs. Traditional AHP and multiple regression analysis techniques have been used for measuring the AR. However, few previous studies exist in the field of seaport efficiency measurement. The main empirical results of this study are as follows. First, the efficiency ranking comparison between the two models (AHP/DEA-AR and multiple regression) using the Wilcoxon signed-rank test and Mann-Whitney signed-rank sum test were matched with the average level of 84.5 % and 96.3% respectively. When data for four years are used, the ratios of the significant probability are decreased to 61.4% and 92.5%. The policy implication of this study is that the policy planners of Korean port should introduce AHP/DEA-AR and multiple regression analysis when they measure the seaport efficiency and consider the port investment for enhancing the efficiency of inputs and outputs. The next study will deal with the subjects introducing the Fuzzy method, non-radial DEA, and the mixed analysis between AHP/DEA-AR and multiple regression analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.3
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• pp.135-141
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• 2009

A variety of statistical methods are applied to model and optimize responses, related to product or system's quality, in terms of control and noise factors at design and manufacturing stages. Most of them assume continuous response variables but, assessing the performance of a product or system often involves categorical observations, such as ratings and scores. Although most previous works to deal with the categorical data provide sorhisticated response models and ensure unbiased outcomes, they require heavy computation to estimate the model parameters, as well as enough replications. In this study, we present some practical approaches for optimal parameter design with ordered categorical response when only a few or no replication is available. Two real-life examples are given to illustrate the presented methods.

• Journal of Family Resource Management and Policy Review
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• v.2 no.1
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• pp.103-117
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• 1998

The purpose of this study were (1)to investigate the housewives’value orientation toward environmental effect, (2)to examine the effect of environments and value-orientation on housewives’green-consumption behavior and (3)to analyze the hypothesized causal direct or indirect explanation effect among the housewives’green-consumption behavior. The 310 subjects of this study were selected from housewives lived in Seoul. The data obtained were analyzed by Mean, Pearson’s correlation, and Stepwise Multiple Regression Analysis. The major results were as follows: 1) The mean score of housewives’value-orientation was 4.45 out of 5. The value-orientation of housewives was affected by the following variables in order to: environmental pollution and participation I community organization. 2) The mean score of housewives’green-consumption behavior was 3.62 out of 5. The housewives’green-consumption behavior was affected by the following variables in order : value orientation, environmental knowledge, participation in community organization, mass media and recycling system. 3) The most influential variables on the housewives’ green-consumption behavior were in the rank of the value orientation(R²=.39). mass meia(R²=.11). and environmental knowledge(R²=.07).

• The Journal of the Korean dental association
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• v.20 no.6 s.157
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• pp.513-524
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• 1982

The purpose of this study was to test the statistical significance of Ideal Acceptable Compromise and determine the range of their use according to the Steiner's analysis. 56 adults male and 62 adults female ranging in age from 18 to 20 years with normal occlusion were studied and analyzed statistically. The results were as follows; 1. The authors obtained the ANB range values and ideal acceptable compromise. 2. Simple correlation coefficients of each variables used in the ideal acceptable compromise were obtained. 3. It is most valid that use the ANB angle as a dependent variable among the five variables. 4. In the multiple regression equations, the rank of significant variables were 1 to NA(angle), I to NA(mm), 1 to NB (mm) in male group, and 1 to NA (angle), 1 to NB (angle), 1 to NA (mm), 1 to NB (mm) in female group when ANB angle was used as a dependent variables.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2000.11a
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• pp.119-123
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• 2000

The characteristics of fatigue life distribution for Carbon/epoxy composite laminates was investigated under tension-tension loading(R=0.1). The statistical nature of the fatigue life of the composite materials was analyzed by Weibull, normal, lognormal distributions As a result, it was observed that the correlation between the experimental results and the theoretical predictions for the fatigue life is good. The distribution of the static ultimate strength has the characteristic of lognormal distribution and distribution of the fatigue life has characteristics of the weibull distribution.