• Culinary science and hospitality research
• /
• v.23 no.3
• /
• pp.196-206
• /
• 2017

This study intended to examine the Korean restaurant customer's recognition about GIAP and to measure the reliability for them, and to figure out their effects on the customer's satisfaction and revisit intentions. Accordingly, research model had been set up and also hypotheses was made up according to pre-studies and pre-investigation results. Factor analysis and reliability analysis were concluded as valid results by the Cronbach's Alph for GIAP, customer satisfaction and revisit intention each other. Firstly, the effect of GIAP on the customer satisfaction was showed positive significance about four factors - perceived quality, reliability, authenticity and security on the customer satisfaction by the multiple regression analysis. Secondly, The effect of GIAP on the customer's revisit intention was showed positive significance about four factors - perceived quality, reliability, authenticity and security on the customer's revisit intention by the multiple regression analysis. Thirdly, the effect of the customer satisfaction on the customer's revisit intention was showed positive significance by the simple regression analysis. This study focused on medium level-cost Korean-pop restaurant so as to investigate general popular's recognition about the GIAP and intended to figure out their revisit intention. Therefore, the results are useful for increasing the food-service strategy system. Informations about the GIAP in restaurants can be credible to the restaurant customers.

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

• Journal of Environmental Health Sciences
• /
• v.42 no.4
• /
• pp.280-292
• /
• 2016

Objectives: The objective of this study was to build COD regression models for the Han River and evaluate water quality. Methods: Water quality data sets for the dry season (as of January) during a four-year period (2012-2015) were collected from the database of the Han River automatic water quality monitoring stations. Statistical techniques, including combined genetic algorithm-multiple linear regression (GA-MLR) were used to build five-descriptor COD models. Multivariate statistical techniques such as principal component analysis (PCA) and cluster analysis (CA) are useful tools for extracting meaningful information. Results: The $r^2$ of the best COD models provided significant high values (> 0.8) between 2012 and 2015. Total organic carbon (TOC) was a surrogate indicator for COD (as COD/TOC) with high reliability ($r^2=0.63$ in 2012, $r^2=0.75$ for 2013, $r^2=0.79$ for 2014 and $r^2=0.85$ for 2015). The ratios of COD/TOC were calculated as 2.08 in 2012, 1.79 in 2013, 1.52 and 1.45 in 2015, indicating that biodegradability in the water body of the Han River was being sustained, thereby further improving water quality. The BOD/COD ratio supported these findings. The cluster analysis revealed higher annual levels of microorganisms and phosphorous at stations along the Hangang-Seoul and Hantangang areas. Nevertheless, the overall water quality over the last four years showed an observable trend toward continuous improvement. These findings also suggest that non-point pollution control strategies should consider the influence of upstreams and downstreams to protect water quality in the Han River. Conclusion: This data analysis procedure provided an efficient and comprehensive tool to interpret complex water quality data matrices. Results from a trend analysis provided much important information about sources and parameters for Han River water quality management.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.37 no.1
• /
• pp.61-72
• /
• 2017

Due to the climate change, damages of human life and property caused by natural disaster have recently been increasing consistently. In South Korea, total damage by natural disasters over 20 years from 1994 to 2013 is about 1.0 million dollars. The 13% of total damage caused by heavy snow. This is smaller amount than the damage by heavy rainfall or typhoon, but still could cause severe damage in the society. In this study, the snow damage in Gangwon region was estimated using climate variables (daily maximum snow depth, relative humidity, minimum temperature) and scoio-economic variables (Farm population density, GRDP). Multiple regression analysis with enter method was applied to estimate snow damage. As the results, adjusted R-square is above 0.7 in some sub-regions and shows the good applicability although the extreme values are not predicted well. The developed model might be applied for the prompt disaster response.

• Journal of the Korea Convergence Society
• /
• v.12 no.1
• /
• pp.283-292
• /
• 2021

The purpose of this study was to identify the factors influencing the disaster nursing preparedness of nursing students. A descriptive survey study was carried out from June 12 to October 16, 2017, the subjects were junior and senior grade nursing students. Data were analyzed by t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis using the SPSS program. The influencing factors on the disaster nursing preparedness were lower confidence of disaster nursing (β =-.21, p<.001) and disaster nursing knowledge (β=.15, p=002). 10.2% of the variance in disaster nursing preparedness was explained by these two factors on multiple regression analysis. In order to improve the preparedness of nursing students for disaster nursing, nursing students' confidence in disaster nursing should be improved, and a systematic and practical disaster nursing curriculum should be developed.

• Journal of Korean Academy of Nursing
• /
• v.33 no.8
• /
• pp.1093-1110
• /
• 2003

Purpose. The number of elders in institutions has increased as family supporting systems have changed in Korea. The purpose of this study were to understand the life satisfaction among elders in institutions and to identify the factors influencing on life satisfaction. Methods. The instruments used were Yun(1982)'s scale modified Memorial University of Newfoundland Scale for Happiness(MUNSH) in life satisfaction, ADL and IADL in activity level, Self-rating Depression Scale(SDS) in depression and Norbeck Social Support Questionnaire(NSSQ) scale in social support. Also, Perceived health status was measured by Visual Graphic Rating Scale. The subject of this study is 107 cognitively intact and ambulatory elders in 7 institutions in Daegu city and Kyungpook province. The data have been collected from May 1 to June 30, 2001. For the analysis of collected data, frequency analysis, mean, standard deviation, Pearson's correlation and stepwise multiple regression analysis were used for statistical analysis by SPSS win(version 9.0) program. Results. Life satisfaction for the elders in institutions showed negative correlation with SDS, and positive correlation with activity level. The regression form of the stepwise multiple regression analysis to investigate the influencing factors of life satisfaction for the elders in institutions was expressed by y =90.988-0. 733x1-0.188x2-0.069x3-0.565x4 (xl: SDS x2: Social support x3: Activity level x4: Monthly pocket Money) and 57.9% of varience in life satisfaction was explained by the model. Conclusion. The factors influencing on life satisfaction among the elders in institutions were SDS, social support, activity level and monthly pocket money. According to the results of this study, depression, social support and activity level are considered the prime causal factors for life satisfaction.

• Journal of the Korean Geotechnical Society
• /
• v.34 no.6
• /
• pp.37-47
• /
• 2018

In this study, 34 laboratory load test data were collected, and analyzed to propose the equations for predicting ultimate bearing capacity of sand compaction pile (SCP) and gravel compaction pile (GCP) reinforced clay. The collected data were compared with the ultimate bearing capacity estimated by existing theoretical equations, and the prediction accuracy of the existing theoretical equations was identified. Also, multiple regression analysis was performed to predict the ultimate bearing capacity, and the most efficient number and type of input variables were selected through error evaluation by leave-one-out cross validation. Finally, the multiple regression equations for estimating the ultimate bearing capacity of laboratory load test for SCP and GCP were proposed, and their performance was evaluated.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.1 no.2
• /
• pp.85-92
• /
• 2000

Warrants are often described as call potions written tv firms on their own stock. However, a call option is a pure side bet; i.e., none of the cash flows associated with the call's sale or exercise involves the firm. Issuing warrants on the other hand, can affect the firm's aggregate level of investment, composition of its capital structure. and the price of the stock on which warrant can be exercised. The problem of the warrant pricing can be solved by using of multivariate data analysis techniques, such as regression analysis or discriminant analysis, instead of OPM. The value of this approach is that we can evlauate the relative importance of each independent variable which affect a price of a warrant. This study empirically examines the Japanese warrant pricing by multiple regression analysis using a sample or 300 observations traded on Tokyo Stock Exchange during the periods between 1995 and 1996.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.199-209
• /
• 2020

This study was a descriptive study performed to identify factors affecting medical satisfaction in multicultural members. The survey participants were 301 multicultural members in A city. The data were analyzed using descriptive statistics and Independent t-tests, One-way ANOVA, and Stepwise multiple regression analysis with the SPSS 14.0 program. Stepwise multiple regression analysis revealed that the predictors of satisfaction among the medical staff were satisfaction with age and health insurance, which accounted for 28% of all variance. Predictors of satisfaction with the medical environment were age and jobs, which accounted for 17% of all variance. Predictors of satisfaction with medical expenses were multicultural form, educational level, and jobs, which accounted for 33% of all variance. These results suggest that we need to develop and implement strategies and programs that can enhance satisfaction with medical use among multicultural members.

• Journal of Korea Water Resources Association
• /
• v.53 no.12
• /
• pp.1059-1070
• /
• 2020

River cross-section measurement data is one of the most important input data in research related to hydraulic and hydrological modeling, such as flow calculation and flood forecasting warning methods for river management. However, the acquisition of accurate and continuous cross-section data of rivers leading to irregular geometric structure has significant limitations in terms of time and cost. In this regard, a primary objective of this study is to develop a methodology that is able to measure the spatial distribution of continuous river characteristics by minimizing the input of time, cost, and manpower. Therefore, in this study, we tried to examine the possibility and accuracy of continuous cross-section estimation by estimating the water depth for each cross-section through multiple linear regression analysis using RGB-based aerial images and actual data. As a result of comparing with the actual data, it was confirmed that the depth can be accurately estimated within about 2 m of water depth, which can capture spatially heterogeneous relationships, and this is expected to contribute to accurate and continuous river cross-section acquisition.