http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : 김서인 (검색결과 68 건)
- 무료
- 기관 내 무료
- 유료
-
-
SNS 중독경향성이 대인관계유능성에 미치는 영향: 자기자비로 조절된 사회비교경향성의 매개효과
김서인,이창현 국제인문사회연구학회 2024 Studies on Humanities and Social Sciences (SHSC) Vol.6 No.2
SNS 중독경향성이 대인관계유능성에 미치는 영향:자기자비로 조절된 사회비교경향성의 매개효과 김 서 인ㆍ이 창 현 연구 목적: 이 연구는 SNS 중독경향성이 대인관계에 어떠한 심리적 과정을 거쳐 영향을 미치는지 살펴보고자 한다. 따라서 본 연구에서는 SNS 중독경향성과 대인관계유능성 간의 관계를 사회비교경향성이 매개하는지 살펴보고, 자기자비가 이러한 매개효과를 조절하는지를 검증하고자 하였다. 연구 방법: 전국에 거주하는 성인 246명을 대상으로 온라인 설문을 실시하였다. 연구 내용: 첫째, SNS 중독경향성과 대인관계유능성 간의 관계에서 사회비교 경향성의 매개효과가 유의하였다. 둘째, 사회비교 경향성과 대인관계유능성의 관계를 자기자비가 조절하였다. 셋째, SNS 중독경향성과 대인관계유능성 간의 관계에 대한 사회비교 경향성의 매개효과가 자기자비에 의해 조절되는 것으로 나타났다. 결론 및 제언: 이러한 결과는 상담 현장에서 SNS 중독경향성으로 인해 대인관계에서의 어려움을 호소하는 내담자에게 사회비교 경향성 감소 혹은 자기자비의 증진을 포함한 개입의 필요성을 시사한다. 핵심어: SNS 중독경향성, 사회비교 경향성, 자기자비, 대인관계유능성, 조절된 매개효과 Effect of SNS Addiction Tendency on Interpersonal Relationship Ability: Mediating Effect of Social Comparison Tendency Moderated by Self-compassion Seoin Kim* & Changhyun Lee** Abstract: The purpose of this study is to examine what psychological processes SNS addiction tendency affects interpersonal relationships. Therefore, this study attempted to examine whether social comparison tendency mediates the relationship between SNS addiction tendency and interpersonal competence, and to verify whether self-compassion regulates this mediating effect. An online survey of 246 adults living across the country was conducted. First, the mediating effect of social comparison tendency was significant in the relationship between SNS addiction tendency and interpersonal relationship ability. Second, self-compassion controlled the relationship between social comparison tendency and interpersonal relationship ability. Third, it was found that the mediating effect of social comparison tendency on the relationship between SNS addiction tendency and interpersonal relationship ability was controlled by self-compassion. These results suggest the need to intervene, including reducing social comparison tendency or promoting self-compassion, to clients who complain of difficulties in interpersonal relationships due to SNS addiction tendency at the counseling site. Key Words: SNS Addiction Tendency, Social Comparison Tendency, Self-compassion, Interpersonal Relationship Ability, Moderated Mediation Effect □ 접수일: 2024년 2월 13일, 수정일: 2024년 3월 31일, 게재확정일: 2024년 4월 20일* 주저자, 가천대학교 학생상담센터 전임연구원(First Author, Researcher, Gachon Univ., Email: kdasol@naver.com)** 교신저자, 하나임상심리연구소 소장(Corresponding Author, Director, Hana Imsang Institute, Email: diapanna@gmail.com)
-
-
김서인,박민경 대한산업경영학회 2022 산업융합연구 Vol.20 No.8
본 연구는 포스트 코로나 시대 간호대학생의 수업 경험에 대한 의미와 본질을 이해하기 위해 시도되었다. 연구 참여자는 코로나 펜데믹 이후 4학기 동안 대면 수업과 비대면 수업을 모두 경험한 1-4학년 재학생 10명이었으며, 자료수집 기간은 2021년 12월 9일부터 12월 30일까지였다. 수집된 자료는 Colaizzi의 방법을 적용하여 분석하였으며, 연구결과 6개의 범주, 13개의 주제모음, 25개의 주제가 도출되었다. 6개의 범주는 ‘미래에 대한 막연함’, ‘간호 실무에 대한 자신감 결여’, ‘수업 시스템의 안정화’, ‘상황에 대한 수용과 적응’, ‘예비간호사로서 직업적 소명의식을 가짐’, ‘비대면 수업의 개선 방향을 찾음’이었다. COVID-19 발발 이후 만 2년이 지난 현시점에서 간호대학생의 수업 경험에 대한 이해는 향후 교육 방향에 대한 전략을 모색하고 미래 교육의 질을 제고하는데 있어 기초자료로 활용될 수 있을 것이다. This study was performed to understand the meaning and essence of class experience of nursing students in the post-COVID 19 age. The participants in this study were 10 enrolled students from freshman to senior students who experienced the face-to-face and contactless classes during four semesters after the COVID-19 pandemic. The data collection period was from December 9 to December 30, 2021. The collected data was analyzed by applying the Colaizzi method. According to the study result, 25 themes, 13 collections of the themes, and six categories were drawn. The six categories were as follows: vagueness of the future, Lack of confidence in nursing practice, Class system stabilization, Acceptance and adaptation of situations, Have a sense of vocational calling as a pre-registration nurses, Finding the direction to improvement of contactless classes. The nursing students’ understanding of class experience at present two years after the outbreak of COVID-19 can be used as basic data to seek future educational direction strategy and enhance future education quality.
-
간호사가 경험하는 직장 내 무례함 구조모형: 괴롭힘으로의 진화
김서인,김숙영 간호행정학회 2022 간호행정학회지 Vol.28 No.4
Purpose: The purpose of this study was to construct and test a hypothetical model based on the Incivility Spiral model for identifying the factors of workplace incivility of nurses and determining if incivility evolve to bullying. Methods: The data were collected from nurses working at 9 hospitals in Seoul, Gyeonggi, Daejeon, Changwon, and Busan province from July 1 to August 15, 2019, using structured questionnaires. Finally, the data from 274 nurses were analyzed. Results: The goodness-of-fit of the hypothetical model was at a good level and 10 out of 13 hypotheses were supported. The workplace incivility was both directly and indirectly affected by anger tendency, leadership of head nurses, and communication competence and directly affected by civility culture. Each of the variables affecting workplace incivility was also found to be a significant factor indirectly affecting workplace bullying and workplace incivility was a factor directly affected on workplace bullying. The variables in this study accounted for 57% of workplace incivility and 65% of workplace bullying. Conclusion: In order to prevent workplace bullying, it is important to initially manage workplace incivility, and for this, clear standards and policies for workplace incivility should be prepared and utilized. 목적: 본 연구의 목적은 직장 내 간호사의 무례함에 영향을 미치는 요인을 파악하고 무례함이 괴롭힘으로 진화하는지의 여부를 판단하기 위해 Incivility Spiral 모형을 기반으로 가설적 모형을 구축하고 검증하는 것이다. 방법: 2019년 7월 1일부터 8월 15일까지 서울, 경기, 대전, 창원, 부산 지역의 9개 병원에 근무하는 간호사를 대상으로구조화된 설문지를 이용하여 자료를 수집하였다. 최종적으로 간호사 274명의 자료를 분석하였다. 결과: 가상 모델의 적합도는 우수한 수준이었고(χ2/df= 2.25, GFI= .89, AGFI= .85, IFI= .96, CFI= .96, SRMR= .06, RMSEA = .07), 13개의 가설적 경로 중 10개가 지지되었다. 직장내 무례함은 분노성향, 간호사의 리더십, 의사소통능력에 직간접적으로 영향을 받았고, 존중문화에 의해 직접적으로 영향을 받았다. 직장 내 무례함에 영향을 미치는 각 변수들은 직장 내 괴롭힘에도 간접적으로 영향을 미치는 유의한 요인으로 나타났으며, 직장 내 무례함은 직장 내 괴롭힘에 직접적으로 영향을 미치는 요인으로 나타났다. 이 연구의 변수는 직장 내 무례함을 57%, 직장 내 괴롭힘을 65% 설명하였다. 결론: 직장 내 괴롭힘을 방지하기 위해서는 직장 내 무례함을 초기에 관리하는 것이 중요하며 이를 위해서는 직장 내 무례함에 대한 명확한 기준과 정책을 마련하여 활용해야 한다.
-
-
-
김서인(Seo In Kim),김동성(Dong Sung Kim),김종우(Jong Woo Kim) 한국지능정보시스템학회 2016 지능정보연구 Vol.22 No.3
Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: ‘Sadness’, ‘Anger’, ‘Happiness’, ‘Disgust’, ‘Surprise’, ‘Fear’, ‘Interest’, ‘Boredom’ and ‘Pain’ are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are ‘Samsung’, ‘Hyundai’, ‘SK’, and ‘LG’, were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, ‘Samsung’ and ‘Hanjin’, ‘SK’ and ‘Hanjin’ were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category ‘Sadness’ has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category ‘Sadness’, it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, ‘nut rage’ incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event act
-
-
ScienceON연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
