• The Journal of Korean Academic Society of Nursing Education
• /
• v.30 no.3
• /
• pp.232-241
• /
• 2024

Purpose: The purpose of this study was to analyze the influence of self-directed learning ability and self-leadership on the learning satisfaction and academic achievement of nursing students who experienced blended learning. Methods: This research was conducted from June 29 to July 17, 2023, targeting nursing students from three universities in Seoul, Gyeonggi, and Incheon who had experienced blended learning. The collected data were analyzed using a independent t-test, ANOVA, Pearson's correlation coefficient, and multiple regression utilizing IBM SPSS 25.0. Results: Self-directed learning ability, self-leadership, learning satisfaction, and academic achievement were all found to have positive correlations. The research variables that showed a significant effect on learning satisfaction were self-directed learning ability (β=.34, p<.001) and self-leadership (β=.19, p=.041), and the explanatory power was 28.0%. The research variable that showed a significant effect on academic achievement was self-directed learning ability (β=.56, p<.001), with an explanatory power of 40.0%. Conclusion: To effectively apply blended learning to nursing students in the rapidly changing field of nursing education, it is important to analyze learner factors such as self-directed learning ability and self-leadership. Continuing research is needed to explore the learner factors that influence learning satisfaction and academic achievement, and systematic educational programs that can improve these factors will have to be applied.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.2
• /
• pp.102-115
• /
• 2017

This study, focused on customers of tourist industry events, aims to examine the influence of service quality on customer satisfaction and customer loyalty. The overall explanatory power ($R^2$) on the dependent variable 'customer satisfaction' in relation to service quality was found to be 47.1%, and the overall explanatory power($R^2$) on the dependent variable 'customer loyalty' in relation to service quality was 36.6%. The F-test, which was conducted to determine the statistical significance of the above regression equation, showed a value of 157.599, thus confirming the statistical significance of the regression equation on how service quality affects customer loyalty. The t-test, was conducted to determine the statistically significant variables of service quality of tourism industry events (t=5.359, p= .000). Furthermore, the analysis showed that customer satisfaction had a positive (+) influence on customer loyalty (t=12.554, p= .000). Therefore the hypothesis that the quality of service affects customer satisfaction and loyalty was supported. As a result, it was found that the higher the level of service quality, tangibility, reliability, responsiveness, confidence empathy, and event quality, the higher the customer satisfaction level.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.1
• /
• pp.46-56
• /
• 2018

This paper aimed to identify main factors of community characters, which have an effect on the land surface temperature(LST) change and estimate the impacting coefficient(ratio) of factors in a significant level of statistics. Chungcheongbuk-do province was selected and then partitioned into city and county areas for the sake of convenience of modeling. LST time series data and the community character data were developed based on Terra Satellite MODIS data and collected from the National Statistical Office, respectively. By the cause and effect relationship between community characters and LST, regression coefficients were estimated using a penal model. In a panel modeling, LST and community characters were used as a dependent variable and explanatory variables, respectively. Panel modeling analysis was carried out using statistical package STATA14 and one-way fixed effect model was selected as the most suitable model to evaluate the regression coefficients in the study area. The impacting ratio of LST change by any explanatory variable derived from the regression coefficients of the panel model fixed. Impacting ratios for industrial areas, elevation ${\times}$ building, energy usage, average window speed, non-urban management area, agricultural, nature and environmental conservation, average precipitation were 3.746, 2.856, 2.742, 0.553, 0.102, 0.071 and 0.003, respectively.

• The Research Journal of the Costume Culture
• /
• v.18 no.4
• /
• pp.670-686
• /
• 2010

This study aims at clarifying the action types of skin management which is base on age, marriage or not, family composition, school career, and income which are demographic variables centering around the lifestyle of middleaged and old age women. As for study method, this researcher executed literature study and questionnaire on adult women over 45 years old who dwell in Seoul and Kyounggi area. Survey period was Mar. 1, 2009 to Jun. 30. And, after distributing 1,000 copies of questionnaire, this researcher used effective 869 copies of questionnaire for analysis out of collected questionnaire, 895 copies. As for analysis method, this researcher executed DUNCAN test with factor analysis, reliability analysis, manin component analysis, K-average, multitude analysis, dispersion analysis and post verification by using SPSS 12.0 program. As for demographic feature for middle aged and old age women, 50~59 years old women were most by age as 302 persons(33.7%). It is emerging that spouse existence is very high as 674 persons(75.3%) in the answer for marriage or not, couple family to live with unmarried children is very high as 483 persons(54.0%) in the answer for family composition, leaving high school in mid-course or gradation of high school are very high as 356 persons(39.8%) in the answer for school career, income from 3 million Won under 4 million won is very high as 260 persons(29.1%) in the answer for monthly income of family members, and women to use under 50 thousand won is very high as 510 persons(57.0%) in the monthly average expense to be used for skin management. In this study, this researcher extracted total 5 factors (economic saving, displaying consumption, confidence inclination, centering around family, and leisure application) by executing factor analysis with 12 question items of lifestyle so as to grasp factor structure of lifestyle of middleaged and old age people, and whole explanatory variable quantity was 70.9%. This researcher named as economic saving type, diplaying consumption style, and type centering around leisure and family, after making multitude analysis about 5 factors analyzed by measuring lifestyle feature. As the result of structure analysis of question items of skin management(pursuit of skin management, life of skin management, and inclination of skin management), this researcher extracted total 3 factors, and whole explanatory variable quantity was 71.30%. Thus, it emerged that there is significant difference among groups.

• Journal of the Korean Geotechnical Society
• /
• v.36 no.5
• /
• pp.5-16
• /
• 2020

The purpose of this study is to suggest the management criteria through the decision tree analysis for a seepage, which is an important instrumentation type of the fill dam. In the case of the seepage of the dam in Korea, seepage can be increased rapidly because rainfall directly flow into the downstream slope and abutment of dam during rainfalls. Therefore, it is necessary the management criteria for the seepage of the fill dam in consideration of rainfall. In this study, decision tree analysis was performed for a fill dam in Korea by setting the seepage as the response variable and the rainfall and water level of dam as explanatory variables. As the study results, the water level acted as an explanatory variable from the conditions under daily rainfall of 34.75 mm/day, and the branch conditions of the water level were analyzed to be 37.4 m and 35.23 m. 98% of the rainfall data is distributed under the conditions of the daily rainfall of 34.75 mm/day, and coverage of the seepage is indicated from 13.25 L/min to 24.24 L/min. When the rainfall and water level as the influence factors for the seepage were selected, the influence of the rainfall was dominant. Finally, the seepage of fill dam by considering the rainfall and water level was suggested as a management criteria.

• The Korean Journal of Applied Statistics
• /
• v.34 no.5
• /
• pp.685-696
• /
• 2021

The Korean Economically Active Population Survey (KEAPS) is a national survey that produces employment-related statistics. The main purpose of the survey is to find out the economic activity status (employed/ unemployed/ non-employed) of the people. KEAPS has a unique characteristics caused by the survey method. In this study, through understanding of structural non-response and utilization of past data, we would like to present an improved imputation model. The performance of the proposed model is compared with the existing model through simulation. The performance of the imputation models is evaluated based on the degree of mathing/nonmatching rates. For this, we employ the KEAPS data in November 2019. For the randomly selected ones among the total 59,996 respondents, the six explanatory variables, which are critical in determining the economic activity states, are treated as non-response. The proposed model includes industry variable and job status variable in addition to the explanatory variables used in the precedent research. This is based on the linkage and utilization of past data. The simulation results confirm that the proposed model with additional variables outperforms the existing model in the precedent research. In addition, we consider various scenarios for the number of non-responders by the economic activity status.

• The Korean Journal of Applied Statistics
• /
• v.34 no.3
• /
• pp.375-388
• /
• 2021

This paper aims to help prevent the spread of COVID-19 by analyzing confirmed cases of COVID-19 in Daejeon. A high volume of visitors, downtown areas, and psychological fatigue with prolonged social distancing were considered as risk factors associated with the spread of COVID-19. We considered the weekly confirmed cases in each administrative district as a response variable. Explanatory variables were the number of passengers getting off at a bus station in each administrative district and the elapsed time since the Korean government had imposed distancing in daily life. We employed a mixed-effects zero-inflated Poisson regression model because the number of cases was repeatedly measured with excess zero-count data. We conducted k-means clustering to identify three groups of administrative districts having different characteristics in terms of the number of bars, the population size, and the distance to the closest college. Considering that the number of confirmed cases might vary depending on districts' characteristics, the clustering information was incorporated as a categorical explanatory variable. We found that Covid-19 was more prevalent as population size increased and a district is downtown. As the number of passengers getting off at a downtown district increased, the confirmed cases significantly increased.

• Korean small business review
• /
• v.40 no.3
• /
• pp.1-24
• /
• 2018

The purpose of this study is verifying with corporate financial data that the required investment amount flow shows a similar pattern as times passed, in new product development by start-up company. In the previous paper, the same authors proposed the required investment amount flow as a 'New Product Investment Curve (NPIC)'. In this study, we have studied further in various types of companies. The samples used are accounting data of 462 companies selected from 5,873 Korean companies which were finished external audit in 2015. The results of this study are as follows; The average investment period was 3 years for the listed companies, while 6 years for the unlisted companies. The investment payback period was 6 years for listed companies, while 17 years for unlisted companies. The investment payback period of the company supported by big affiliate company (We call 'greenhouse company') was 14~15 years, while 17 years for real venture companies. When we divide all companies into 4 groups in terms of R&D cost and variable cost ratio, NPIC explanatory power of 'high R&D and high variable cost ratio group (Automobile Assembly Business) is best. Among the eight investment cost indexes proposed to estimate the investment amount, the 'cash 1' (operating cash flow+fixed asset excluding land & building+intangible asset, deferred asset change)/year-end total assets) turned out to be the most effective index to estimate the investment flow patterns. The conclusion is that NPIC explanatory power is somewhat reduced when we estimate all companies together. However, if we estimate the sample companies by characteristics such as listed, unlisted, greenhouse, and venture company, the proposed NPIC was verified to be effective by showing the required investment amount pattern.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.11
• /
• pp.348-360
• /
• 2019

This study examined the influence of humanistic knowledge and occupational stress on the professional quality of life of clinical nurses. The data from 217 survey questionnaires collected from three general hospitals located in a metropolitan area from Jun 3 to 14, 2019 were used. The data were analyzed using a t-test, ANOVA, Scheffè test, Pearson's Correlation Coefficient, and Stepwise multiple regression with SPSS Statistics 23.0 program. The findings revealed a positive correlation between compassion satisfaction and humanistic knowledge and a negative correlation with Burnout. Burnout had a negative correlation with humanistic knowledge and a positive correlation with occupational stress and secondary traumatic stress. Secondary traumatic stress showed a positive correlation with occupational stress. Burnout, satisfaction for nursing, and working period were significant variables of the compassion satisfaction with an explanatory power of 48.5%. Compassion satisfaction, secondary traumatic stress, satisfaction for nursing, marriage, and occupational stress were significant variables of burnout with an explanatory power of 68.8%. Burnout and income were significant variables of secondary traumatic stress with an explanatory power of 21.9%. Burnout was found to be a significant variable of not only compassion satisfaction, but also compassion satisfaction. Therefore, efforts are needed to make efforts to prevent burnout.

• Quality Improvement in Health Care
• /
• v.7 no.2
• /
• pp.230-242
• /
• 2000

Background : The measuring instruments for customer satisfaction in hospitals are often composed of some dimensions reflecting the conceptive complexity of them. Then, overall satisfaction would be expected to be equal the 'weighted' sum of scores by dimensions because the importance rated by customers may be different across the dimensions. But the issue of how to weight the dimensions with importance is not yet solved. We examined 3 sets of weighting methods as to make effect on predictive power against overall satisfaction. Methods : We conducted a survey included 483 subjects who had visited or admitted to a university hospital, using the short form questionnaire being developed by The Korean Society of Quality Assurance in Health Care for out-patient and in-patient. By using a multiple linear regression model, we compared among changes of explanatory powers against overall satisfaction as dependent variable after weighting 4 dimensions of the survey questionnaire as independent variables with importance scores of dimensions perceived by consumers. And we compared the feasibility of each weighting, methods by checking missing cases. Results : There were no weighting methods increasing the explanatory power after applying them. The method of absolute scoring was found higher explanatory-power than others, but this finding had no statistical significance. Regarding the number of missing value, method of absolutely scoring had the least cases. Conclusion : Our findings suggested that weighting the dimensions with importance might have little significance in the cases of scales having items highly correlated, such as consumers' satisfaction. Though asking with items to be answered absolutely, customers might be rating relatively in some degree and this method produced least missing cases. Considering these points, in the cases when weighting the dimensions with importance would be required, we suggest that weighting method by absolute scoring might be better than others.