• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.81-86
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• 2024

This study aimed to assess the level of intention to tampon use among female university students and to identify factors influencing intention to tampon use. The participants were 140 female university students. Data collection was performed through an online survey using chi-squared test, spearman's correlation coefficients, and multivariable logistic regression analysis from March 13 to March 30, 2024. In this study, it was found that 63.6% of female university students had an intention to use tampon and factors influencing intention to tampon use were marital status, length of menstruation, and prior experience with tampon use. Specifically, participants who were 'unmarried', 'had menstruation lasting 5 days or shorter', and 'had previous experience with tampon use' demonstrated a higher intention to use tampons. Therefore, it is necessary to continuously monitor the changing patterns of women's menstrual product usage and intention, identify influencing factors, and establish educational and promotional strategies to provide information on the characteristics and usage of menstrual products, enabling women to choose the best products suited to their menstrual needs.

• Journal of Practical Engineering Education
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• v.16 no.4
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• pp.415-421
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• 2024

This study is a descriptive research study to understand the relationship between nursing professional intuition, artificial intelligence ethics, and digital health literacy of nursing college students. There was no difference in nursing professional intuition, artificial intelligence ethics, and digital health literacy according to the general characteristics of the subject. In addition, nursing professionals were found to have a significant positive correlation with artificial intelligence ethics consciousness and digital health literacy, and artificial intelligence ethics consciousness was found to have a significant positive correlation with digital health literacy. These results can be used as basic data for preparing educational programs that can strengthen digital health literacy capabilities by cultivating artificial intelligence ethics as well as nursing professionals of nursing college students.

• Journal of the Korean Applied Science and Technology
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• v.41 no.3
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• pp.685-693
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• 2024

This study is a descriptive study to understand the degree of positive psychological capital, clinical practice stress, and career identity of nursing students, and to understand the factors influencing career identity. The fourth graders of the department of nursing at two universities located in U City and G City were selected as subjects. Descriptive statistics, t-test, ANOVA, pearson correlation coefficient, and multiple regression data were analyzed with the SPSS 21.0 program. As a result of the study, positive psychological capital had a positive correlation with career identity, and clinical practice stress had a negative correlation with career identity. The factors influencing career identity were clinical practice stress, major satisfaction, positive psychological capital, and gender, and the explanatory power was 31%. Therefore, it is necessary to develop and apply educational programs that can improve positive psychological capital and reduce clinical practice stress as a strategy to improve the career identity of nursing students.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.331-340
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• 2023

This descriptive study is aimed at examining the effects of the person-environment fit of general hospital nurses on organizational commitment and career commitment. Data was collected by conducting a questionnaire survey of nurses in four general hospitals in Gyeongnam from February to March 2023, and 210 responses were analyzed using the statistical software SPSS 21. The research results are as follows: Person-job fit and person-organization fit were found to be significant influencing factors on organizational commitment, with an explanatory power of 48.5%. For career commitment, person-job fit, person-organization fit, and person-supervisor fit of the person-environment fit all emerged as significant influencing factors, with an explanatory power of 57.5%. Since person-organization fit has the highest impact on both organizational commitment and career commitment, nursing managers should prioritize the consideration of relevant factors in personnel management.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.407-415
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• 2023

This study is a descriptive survey research attempted to determine the effect of Herzberg's motivation-hygiene factors on male nurses' organizational commitment, job satisfaction, and intention to stay. The participants were 117 male nurses. Data were collected by a survey using self-administrated questionnaire. Collected data were analyzed using SPSS WIN 18.0 software. As a result of the study, both motivation-hygiene factors were found to have a significant impact on male nurses' organizational commitment, job satisfaction, and intention to stay, which the explanatory power of the overall model was 39%, 51%, 15% each. Therefore, a motivational strategy by understanding motivation-hygiene theory proposed by Herzberg is needed to allow male nurses to be satisfied with their jobs and continue to work by committing to their organization.

• Journal of the Health Care and Life Science
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• v.11 no.2
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• pp.181-189
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• 2023

The purpose of this study is a descriptive research study to identify factors affecting nursing students' confidence in performing nursing using artificial intelligence and provide evidence for the development of nursing education programs. Data collected from 245 nursing students were conducted using descriptive statistics, t-test, one way ANOVA, Pearson correlation coefficient, and multiple regression analysis using SPSS/WIN 21.0 program. The reliability of the tool was verified using Cronbach's alpha coefficient. As a result of the study, knowledge of artificial intelligence was 2.52 points, awareness was 3.52 points, attitude of acceptance was 3.74 points, and confidence in nursing performance was 5.47 points. The factors affecting confidence in performing nursing using artificial intelligence were knowledge and attitude, with an explanatory power of 50.8%. Based on the results of this study, basic data can be provided for the development of related curriculum and teaching methods in the future.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.11-21
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• 2024

This study is a descriptive research study to examine the relationship between developmental knowledge of premature infants, development-supportive nursing competency, and development-supportive nursing performance among 103 nursing students who experienced online alternative training in the neonatal intensive care unit. Data collection was conducted from September 1, 2022 to September 31, 2022 using a self-administered questionnaire, and the collected data was analyzed using the SPSS statistical program. As a result of the study, it was found that nursing students' grade and development support nursing competency influenced the performance of development support nursing, and the explanatory power of the variable was 22%. In conclusion, in order to improve the developmental support nursing capacity of premature infants, it is believed that a systematic education program and clinical practice education content that considers the learning level of each grade should be developed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.381-388
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• 2024

This study aimed to examine the effect of incivility experience, workplace friendship, job-esteem on nursing performance of hospital nurses. The participants were 135 university hospital nurses, and data collection was performed from December 14 to December 20, 2023. The collected data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, pearson's correlation coefficients, and multiple regression analysis. The main factors influencing the participants' nursing performance were job-esteem (β=.60, p<.001) and type of work shift(β=.19, p=.015). The overall explanatory power of the model was 52.7%. Therefore, as an alternative for improving nursing performance it is essential to enhance nurses' job-esteem, it is necessary for nursing managers and institutional level to work on the improve the nursing image and professional status.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.569-577
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• 2024

This study was a descriptive research study aimed at identifying the factors influencing career choice commitment in nursing freshmen, focusing on empathy, social support, and major satisfaction. The subjects of the study were 153 nursing freshmen from one university in Chungbuk and one university in Gyeongbuk. The data collection period was from June 3 to June 15, 2024, and the questionnaire took about 30 minutes to complete. The results of the study showed that explained 46.3% of the variance in career choice commitment, and the regression model was statistically significant (F=44.71, p<.001). The influencing factors were, in order, major satisfaction (β=.50, p<.001), empathy (β=.25, p<.001), and university satisfaction dummy 2 (average) (β=-.13, p=.042). Based on these findings, it is recommended to conduct further repeated studies to identify various factors influencing career choice commitment. Additionally, it is suggested to develop customized career exploration and employment programs by grade level to examine the factors affecting career choice commitment in nursing students beyond freshmen.

• Journal of Practical Engineering Education
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• v.16 no.5_spc
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• pp.803-813
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• 2024

The purpose of this study is to explore the possibility of using open-source statistical software Jamovi as an alternative approach to securing reproducibility. To this end, a descriptive survey was conducted on researchers in various academic fields to investigate the causes of the reproducibility problem and its solutions, and whether the use of Jamovi could contribute to solving the statistical reproducibility problem was empirically analyzed. The function of integrating Jamovi's data and analysis results into a single file played an important role in ensuring transparency in analysis. In addition, the possibility of enhancing statistical reproducibility was confirmed by using Jamovi's Rj Editor module to convert all procedures in the analysis process into R codes while performing advanced statistical analysis. This study emphasizes that Jamovi can act as a practical tool for solving research reproducibility problems, and through this, it is expected to contribute to strengthening the reliability of academic research.