• Title/Summary/Keyword: statistical data analysis

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The intention of nail industry workers to change jobs Effects on job stress and emotional labor (네일산업 종사자들의 이직 의도가 직무스트레스 및 감정노동에 미치는 영향)

  • Eun-Ji Kim;In-Kyoung Kim
    • Journal of Advanced Technology Convergence
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    • v.2 no.2
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    • pp.49-55
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    • 2023
  • As interest in "beauty" increases due to the improvement of a high cultural level, job stress and emotional labor caused by nail workers working are gradually increasing, and it is judged that it should be solved in the beauty industry. This study investigated the effect of working stress and emotional labor on turnover intention of nail workers, and the survey tool was a questionnaire for 250 nail industry workers in Daejeon and Chungcheong. The SPSS 21.0 statistical program was used to analyze the collected data, and the research results showed that job stress and emotional labor of nail workers had a statistically significant correlation with turnover intention, indicating that there was a correlation between general job stress and emotional labor. Therefore, it is considered very important for research in this field to analyze the impact of job stress and emotional labor on turnover of nail industry workers and to provide basic data necessary for the development of this field, job satisfaction improvement, and work stress response. In order to establish the nail field as a part of the growing beauty industry, it is expected that there will be better research results if the turnover rate is reduced and compared and analyzed to improve job satisfaction through analysis of the causes of job stress and emotional labor of nail industry workers.

Emotional Experience of Korean Urban Elderly in Everyday Lives using Experience Sampling Method: A focus on gender differences (경험표집법을 통해 살펴본 도시노인의 일상생활 경험: 공간/대인맥락과 정서경험에서의 젠더차이를 중심으로)

  • Han, Gyounghae;Son, Jeongyeon
    • 한국노년학
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    • v.29 no.3
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    • pp.1159-1182
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    • 2009
  • The purpose of this study is to examine everyday emotional experience of urban elderly in Korea. Specifically, this study explores gender differences in the effect of place/location of activity and companionship on the daily emotional experience. Data were collected from 148 urban elderly (men=76, women=72) in Seoul, using Experience Sampling Method(ESM). The unit of analysis was the self-report and in total 5,530 self-reports were provided. The statistical methods used for the data analyses were descriptive statistics, t-test, χ2 verification, and ANOVA. The major findings are as follows. First, the elderly in Korea spend a quite substantial portion of their time at home, and they spend the largest share of their time in company with their spouse. Second, women report higher intensity of stress and irritation than men in terms of overall emotional experience. Third, the effect of activity location and companionship on emotional experience turned out to be different depending on gender. Emotional experience of daily lives and overall quality of life are shown to be inter-related. Based on these findings, this study provides a significant implication that situational contexts of experience should be considered in order to understand the daily emotional experience of the contemporary Korean elderly.

Development of an Optimized Class Space and Map based on the Metaverse ZEP Platform (메타버스 ZEP 플랫폼 기반의 최적화된 수업 공간 및 맵 개발)

  • Ae-ran Park;Myung-suk Lee
    • Journal of Practical Engineering Education
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    • v.15 no.2
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    • pp.439 -447
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    • 2023
  • This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.

An Empirical Study on Development of Traffic Safety Facilities for Safe Autonomous Vehicle Operation in Construction Areas (자율주행자동차의 공사구간 안전주행 지원을 위한 교통안전시설물 개발 실증 연구)

  • Jiyoon Kim;Jisoo Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.5
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    • pp.163-181
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    • 2023
  • Improving the detection performance of facilities corresponding to the sensors of autonomous vehicles helps driving safety. In the road and transportation field, research is being conducted to improve the detection performance of sensors by road infrastructure or facilities. As part of this on the development of autonomous driving support infrastructure, the shape of traffic cones and drums to ensure sufficient LiDAR detection performance even rainy conditions and maintain the line-of-sight guidance function in construction zones improvement effect. The principle was to increase reflection performance and ensure no significant difference in shape from existing facilities. Traffic cones were manufactured in square pyramid shapes instead of cones, and drums were manufactured in hexagonal and octagonal pillar shapes instead of cylinders. LiDAR detection data for the facility was confirmed on a clear day and with 20 mm/h and 40 mm/h rainfall. The detection performance of the square pyramid-shaped traffic cone and octagonal column-shaped drum was to the existing facility. On the other hand, deviations occurred due to repeated measurements, and significance could not be confirmed through statistical analysis. By reflecting these results, future studies will seek a form in which data can be obtained uniformly despite the diversity of measurement environments.

A Foundational Study on Developing a Structural Model for AI-based Sentencing Prediciton Based on Violent Crime Judgment (인공지능기술 적용을 위한 강력범죄 판결문 기반 양형 예측 구조모델 개발 기초 연구)

  • Woongil Park;Eunbi Cho;Jeong-Hyeon Chang;Joo-chang Kim
    • Journal of Internet Computing and Services
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    • v.25 no.1
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    • pp.91-98
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    • 2024
  • With the advancement of ICT (Information and Communication Technology), searching for judgments through the internet has become increasingly convenient. However, predicting sentencing based on judgments remains a challenging task for individuals. This is because sentencing involves a complex process of applying aggravating and mitigating factors within the framework of legal provisions, and it often depends on the subjective judgment of the judge. Therefore, this research aimed to develop a model for predicting sentencing using artificial intelligence by focusing on structuring the data from judgments, making it suitable for AI applications. Through theoretical and statistical analysis of previous studies, we identified variables with high explanatory power for predicting sentencing. Additionally, by analyzing 50 legal judgments related to serious crimes that are publicly available, we presented a framework for extracting essential information from judgments. This framework encompasses basic case information, sentencing details, reasons for sentencing, the reasons for the determination of the sentence, as well as information about offenders, victims, and accomplices evident within the specific content of the judgments. This research is expected to contribute to the development of artificial intelligence technologies in the field of law in the future.

Mediating Effect of Empathy in the Relationship between Communication Skills and Interpersonal Relationship of MZ Generation Nursing Students (MZ세대 간호대학생의 의사소통능력과 대인관계유능성의 관계에서 공감능력의 매개효과)

  • Yang-Sin Kim;Jae-Sook Lee
    • Journal of Industrial Convergence
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    • v.22 no.5
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    • pp.89-96
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    • 2024
  • This is a descriptive research study to confirm the mediating effect of empathy in the relationship between communication skills and interpersonal relationship of MZ generation nursing students. The subjects of this study were 129 nursing students born in 1981 to 2006, corresponding to the MZ generation, and the data collection period was from May 20 to July 30, 2023. The collected data were analyzed using the SPSS 25.0 program, and the mediating effect of empathy was tested by Baron and Kenny's three-step mediating effect verification procedure, and Sobel test was conducted to test the statistical significance of the mediating effect. As a result of the analysis, communication skills (β=.45, p<.001) and empathy (β=.18, p=.008) had a significant effect on interpersonal relationship. These variables were found to have 48.4% explanatory power for interpersonal relationship. Empathy had a partial mediating effect (z=2.39, p=.016) in the relationship between communication skills and interpersonal relationship. Based on the results of this study, it is necessary to understand the characteristics of the MZ generation familiar with the non-face-to-face culture that will be in charge of future nursing and to develop effective programs to improve their interpersonal relationship.

Correlation of Mental State with Resilience of Stroke Patients during Rehabilitation (뇌졸중 환자의 재활치료 중 정서 상태와 회복 탄력도와의 관련성 연구)

  • Kyeong-Jin Ko;Ji-Eun Oh;Ha-Min Lee;Hyung-Won Kang;Sun-Ho Shin;Yeoung-Su Lyu
    • Journal of Oriental Neuropsychiatry
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    • v.35 no.2
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    • pp.163-175
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    • 2024
  • Objectives: To investigate the relationship between rehabilitation treatment, mental state and resilience of stroke patients undergoing rehabilitation by examining the correlation between The Core Seven Emotions Inventory-Short Form (CSEI-s) and the Korean version of the Connor-Davidson Resilience Scale (K-CD-RISC). Methods: All 104 participants (44 diagnosed with stroke who were receiving rehabilitation and 60 without stroke or psychiatric history) completed the CSEI-s, K-CD-RISC, and Questionnaire for stroke symptoms. All data were analyzed using by Statistical Package for the Social Sciences (SPSS) ver. 27.0. Descriptive statistics, chi-square test, t-test, Mann-Whitney U test, Kruskal-Wallis H test, and Pearson correlation coefficient were used for data analysis. Results: As a result of the CSEI-s, compared to the control group, the stroke group showed significantly lower Joy (喜) scores and significantly higher scores for Depression (憂) and Sorrow (悲). With a morbidity period of 12 months or less, the Thought (思) score was significantly higher. The Fear (恐) score was significantly higher when the rehabilitation was initiation more than 4~8 weeks after than that when the treatment was started immediately. Meanwhile, the K-CD-RISC score was significantly higher when rehabilitation was started immediately. In the stroke group, the K-CD-RISC score was positively correlated with Joy (喜) but negatively correlated with Depression (憂) and Fear (恐). In the control group, K-CD-RSIC showed a positive correlation with Joy (喜) but negative correlations with Depression (憂), Sorrow (悲), and Fear (恐). Conclusions: In addition to early rehabilitation treatment, mental approach through Korean medicine psychotherapy is crucial for enhancing the resilience of stroke patients.

Enhancing Small-Scale Construction Sites Safety through a Risk-Based Safety Perception Model (소규모 건설현장의 위험성평가를 통한 안전인지 모델 연구)

  • Kim, Han-Eol;Lim, Hyoung-Chul
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.1
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    • pp.97-108
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    • 2024
  • This research delves into the escalating concerns of accidents and fatalities in the construction industry over the recent five-year period, focusing on the development of a Safety Perception Model to augment safety measures. Given the rising percentage of elderly workers and the concurrent drop in productivity within the sector, there is a pronounced need for leveraging Fourth Industrial Revolution technologies to bolster safety protocols. The study comprises an in-depth analysis of statistical data regarding construction-related fatalities, aiming to shed light on prevailing safety challenges. Central to this investigation is the formulation of a Safety Perception Model tailored for small-scale construction projects. This model facilitates the quantification of safety risks by evaluating safety grades across construction sites. Utilizing the DWM1000 module, among an array of wireless communication technologies, the model enables the real-time tracking of worker locations and the assessment of safety levels on-site. Furthermore, the deployment of a safety management system allows for the evaluation of risk levels associated with individual workers. Aggregating these data points, the Safety Climate Index(SCLI) is calculated to depict the daily, weekly, and monthly safety climate of the site, thereby offering insights into the effectiveness of implemented safety measures and identifying areas for continuous improvement. This study is anticipated to significantly contribute to the systematic enhancement of safety and the prevention of accidents on construction sites, fostering an environment of improved productivity and strengthened safety culture through the application of the Safety Perception Model.

Field Perceptions on the Staffing Situation of Academic Libraries (대학도서관 인력 현황에 관한 현장 인식 조사)

  • Eun Youp Rha;Sangoh Na;Jongwook Lee
    • Journal of Korean Library and Information Science Society
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    • v.55 no.1
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    • pp.123-143
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    • 2024
  • In this study, we analyzed the trends in staffing changes in academic libraries over the past ten years and surveyed staff working there to assess their perceptions of staffing levels and the current criteria for staffing allocation in academic libraries. We utilized statistical data from academic libraries to analyze staffing changes from 2014 to 2023. The survey was conducted through an online questionnaire targeting library staff, and responses from 216 respondents from 4-year universities and junior colleges were analyzed. The analysis of staffing changes revealed a decrease in the average number of employees in large 4-year universities and junior colleges, with a decrease in regular positions and an increase in non-regular positions. Survey results suggest causes such as declining school-age population and admissions quotas, budget shortages in universities, and structural adjustments. The perception of staff from 4-year universities and junior colleges regarding the criteria for staffing allocation was mainly negative, suggesting improvements such as increasing and refining criteria numbers, specifying standards for full-time librarians, clarifying criteria for compliance, and enhancing enforcement of standards. The results of this study can enhance understanding of staffing situations in academic libraries and serve as fundamental data for improving staffing criteria in the future, based on an understanding of librarians' perceptions on the ground.

The effects of adolescents' perceived family strength and social support on their adaptation to school life (청소년이 지각하는 가족건강성과 사회적지지가 학교생활적응에 미치는 영향)

  • Kim Tae Ryang;Jeong Yeong Mi
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.4
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    • pp.241-248
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    • 2024
  • The purpose of this study sought to examine the mediating effect of social support in the relationship between adolescents' family strength and school life adjustment. For this purpose, a survey was conducted from May 2023 to June 2023 on youth attending middle and high schools in Daegu and Gyeongbuk, and statistical analysis was performed on the data of 768 people without missing data using SPSS 21.0 program. The results of this study were as follows. First, the family strength perceived by adolescents was found to have a significant positive effect on school life adaptation. Second, the family strength perceived by adolescents was found to have a significant positive effect on social support. Third, social support was found to have a positive and significant effect on school life adaptation. Fourth, social support showed a partial mediating effect in the relationship between adolescents' perceived family strength and school life adjustment. These research results have implications in that they provide empirical evidence to help adolescents adapt well to school life based on healthy family relationships. In addition, we hope that this will serve as a practical basis for the use of parent education programs and family counseling programs that help adolescents adapt well to school life by eliciting social support through positive family functions at home.