• Journal of Digital Convergence
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• v.19 no.1
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• pp.217-228
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• 2021

This study was to identify generational difference of values of life and factors influencing turnover of Korean nurses. Total 294 nurses of generation-X, Y, and Z participated. Analysis of variance(ANOVA) and Multiple Regression Analyse was conducted. The result of the study was that Gen-X and Y nurses considered family life as the most important thing in life and Importance of work was the next by Gen-X and leisure time by Gen-Y. However, Gen-Z nurses regarded leisure time as the most important. These findings indicate that influencing factors on turnover of Korean nurses were different by nurses generations. These results indicates that it is necessary to develop different strategies by generations in order to manage turnover issues for Korean nurses.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.251-258
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• 2022

The purpose of this study was to investigate of resilience on nursing students in COVID-19 pandemic situation. Data were collected from 320 nursing students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of resilience in nursing students was 3.78±0.61. There were significant differences in college life adaptation with department (F=9.932, p<.001), number of friend (F=5.681, p<.001), close professor (t=3.739, p<.001), There was positive correlation between resilience and grit (r=.469, p<.001), nursing professionalism (r=.614, p<.001), nurses' image (r=.552, p<.001). The factors affecting resilience of the study subjects were grit (β=.321, p<.001), nursing professionalism (β=.385, p<.001), nurses' image (β=.165, p=.022), with an explanatory power of 47.3%. Through the results of this study, it was confirmed that it is necessary to improve grit, nursing professionalism, and nurses' image in order to improve the resilience of nursing students in the COVID-19 pandemic.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.185-191
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• 2022

This study tried to identify the factors that affect the participation of national pension beneficiaries in economic activities. Data from the 8th KReIs main survey were used for the study subjects, and the number of subjects was 919. Descriptive statistics, t-test, ANOVA, and regression analysis were performed using SPSS 20.0. As a result, gender, age, marital status, residential area, physical health status, and mental health status showed differences in economic activity participation. Participation in economic activities was correlated with gender, age, marital status, physical health status, and psychological health status. As factors influencing the participation in economic activities of national pension recipients, it was found that gender, age, education level, residential area, and physical health had an effect on economic activity participation.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.239-248
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• 2023

This study is a descriptive correlation study to identify the relationship among online collaborating learning attitudes, empathy, critical thinking disposition, and sense of community in nursing students in the online learning environment during COVID-19. Data were collected from 129 nursing students. The SPSS/28.0 program was used to analyze the data using descriptive statistics, Pearson's correlation coefficient, independent t-test, one-way ANOVA, Scheffé test, Pearson's correlation analysis, and hierarchical multiple regression. Factors that significantly affect sense of community in nursing students were online collaborating learning attitudes and critical thinking disposition, and the explanatory power was about 42.2%. Based on these results, in order to increase sense of community of nursing students in non-face-to-face learning environment, it is required to strengthen the problem-solving-centered learning method cultivating the online collaborating learning attitude and critical thinking disposition.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.121-130
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• 2024

This study utilized data from 1,068 women aged 40-59, drawn from the 8th Korea National Health and Nutrition Examination Survey (KNHANES) conducted in 2020, to investigate factors impacting subjective health perception and health-related quality of life. Methodologically, STATA 15.0 was employed for complex sample mean and standard deviation calculations, complex sample weighted percentages, complex sample t-tests, and multiple regression analyses. Common factors influencing both subjective health and health-related quality of life included education level, household size, depression, and stress. Age, binge drinking, and physical activity were identified as factors influencing subjective health perception. Insurance type, employment status, and sleep disorders emerged as factors impacting health-related quality of life. Recognizing middle age as a crucial transitional phase into old age, the development of health policy programs aimed at enhancing subjective health and health-related quality of life during this period is deemed essential.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.261-266
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• 2020

The purpose of the Convergence study is to analyze the impact of students' satisfaction and educational performance through research on overall educational service quality factors for beauty academies. The subjects of the study were conducted from March 29 to April 12, 2020 for those in their 10s and 40s attending beauty academies in Seoul, Gyeonggi-do and Incheon, and 377 surveys were analyzed and used for research. Multiple regression analysis was performed using the SPSSWIN 21.0 program for research purposes. As a result of the study, the higher the level of empathy, reliability, responsiveness, type, and certainty of educational service quality, the higher the satisfaction level of the class. The higher the satisfaction level, the higher the educational performance. Based on these research results, measures to improve the quality of education services that can enhance the satisfaction and educational performance of beauty academies should be improved by diversifying educational methods and contents and enhancing the quality of education and service expertise. The expertise of education should be strengthened to improve competitiveness. Therefore, follow-up research is needed to develop various programs to enhance future course satisfaction and educational performance and to develop education methods to enhance the quality of beauty education services.

• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.75-84
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• 2019

This study aimed to identify the factors affecting the nursing performance and the convergence relationships of leisure satisfaction, job stress, and nursing performance among nurses. Participants included 150 nurses working at 2 hospitals in C city from August 3 to September 15, 2018. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA with Scheffe's test, Pearson correlation coefficients, and multiple regression by SPSS 23.0 program. Nursing performance were significantly differences in age (F=4.78, p=.003), marital status (F=2.74, p=.007), length of clinical career (F=3.34, p=.012), and health condition (F=5.23, p=.002). Nursing performance was a positively correlated with leisure satisfaction (r=.32, p<.001) and a negatively correlated with job stress (r=-19, p=.020), and job stress was a negatively correlated with leisure satisfaction (r=-.32, p=.005). The factors affecting the nursing performance of clinical nurses were age (${\beta}=.20$, p=.008) and leisure satisfaction (${\beta}=.28$, p<.001), and these variables explained about 19.6% of the variance in nursing performance. In order to improve nursing performance, it is necessary to provide working environment and institutional support for increasing leisure satisfaction and reducing job stress and age-differentiated approaches.

• Journal of the Korea Convergence Society
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• v.9 no.7
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• pp.105-115
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• 2018

This study examined convergence factors influencing the job embeddedness of nurses in general hospitals. Data were collected using a structured questionnaire. Data were analyzed using t-test, ANOVA, Pearson's correlation coefficient, and multiple regression. The job embeddedness in participants showed a significant correlation between job stress (r=-.50, p<.001), meaning of work (r=.70, p<.001), and calling (r=.58, p<.001). The significant factors influencing the job embeddedness were meaning of work (${\beta}=.57$, p<.001) and job stress (${\beta}=-.19$, p=.008); these factors explained 51.2% of the variance. Based on these findings, nursing college need to develop a curriculum to foster meaning of work and calling in clinical practice courses and to remain nurses.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.170-179
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• 2019

This study was narrative research study to find out the effect of adolescents' social media addiction tendencies on interpersonal relationships. This research data was collected from 250 middle high school students in G city, Gyeongnam and collected data was analyzed with t-test, ANOVA, Pearson's correlation, Multiple regression coefficient using SPSS 23.0 program. SNS addiction tendency scores according to general characteristics of adolescents were gender (t= -2.25, p = .011), duration of SNS use (F= 3.15, p= .015), average usage time (F= 15.87, p=. 001), SNS media (F= 3.12, p= .027), and SNS media usage time (F= 6.58, p= .001) were statistically significant. As a result of verifying the correlation of main variables, addiction tendency of SNS had statistically significant static correlation with interpersonal relationships. Influencing factors of interpersonal relations were Addiction tendency of SNS(${\beta}=-.64$, p=.<001) Interpersonal relationship explained 37% of the total variability.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.177-186
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• 2017

Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.