• Title/Summary/Keyword: Descriptive analysis

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Impact of Distress and Stigma on Quality of Life among Patients with Cerebrovascular Disease (뇌졸중 환자의 디스트레스와 스티그마가 삶의 질에 미치는 영향)

  • Lee, Kyoung Hee;Jeon, Jaehee
    • Journal of muscle and joint health
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    • v.31 no.2
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    • pp.95-106
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    • 2024
  • Purpose: This study investigated how distress and stigma affect the quality of life (QOL) in stroke patients. Methods: A descriptive research design was utilized with 150 stroke patients from three general and three long-term care facilities. Data were collected through an 86-item questionnaire from February 15 to April 10, 2023, using measures of distress, stigma, and QOL. Analysis was conducted using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis in SPSS/WIN 25.0. Results: The average QOL score was 156.37±38.27 out of 245 points. Factors affecting QOL of stroke patients were distress (β=-.56, p<.001), stigma(β=-.26, p<.001), biplegia (β=-.11, p=.045), and unemployment (β=-.10, p=.045), explaining 68% of the QOL variance. Conclusion: Programs aimed at reducing distress and stigma in stroke patients are essential for enhancing QOL. Effective strategies should address post-stroke physical and mental states, prevent complications, restore health, reduce anxiety, and leverage family and social support to mitigate stigma. Special attention is needed for stroke patients with hemiplegia and those who are unemployed.

Effects of Work Values and Career Adaptability on Job Preparation Behavior in Graduation Year Nursing Students (졸업학년 간호대학생의 직업가치관과 진로적응력이 취업준비행동에 미치는 영향)

  • Kyung-Ha Kim
    • Journal of the Korean Applied Science and Technology
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    • v.41 no.3
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    • pp.575-585
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    • 2024
  • This study is a descriptive survey research conducted to confirm the effects of work values and career adaptability on job preparation behavior in Graduation year nursing students. The subjects are 4th grade students who are attending two university nursing departments in city G and N, and data were collected from September to October 2023. The data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation analysis and controlled regression analysis. The research results are as follows. Intrinsic values (β=-.127, p=.122) had not statistically a significant effect on job preparation behavior. Extrinsic values (β=.168, p<.001) and career adaptability (β=.415, p<.001) had statistically a significant positive effect on job preparation behavior. The variables predicting the job preparation behavior of nursing students were identified in the order of career adaptability and extrinsic values. The study model accounted for 35.5% of job preparation behavior. It suggests that strategies are needed to enhance the extrinsic values and career adaptability in order to promote job preparation behavior in nursing students. However, considering the nature of nursing and the sense of calling of nurses who perform nursing, we should not overlook the fact that the intrinsic values of nursing itself is also an important aspect that nursing students preparing to become future nurses must cultivate.

Statistical Errors of Articles Published in the Journal of Oriental Rehabilitation Medicine(I) (한방재활의학과학회지의 통계적 오류에 관한 고찰(I))

  • Park, Tae-Yong;Heo, Tae-Young;Shin, Byung-Cheul
    • Journal of Korean Medicine Rehabilitation
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    • v.20 no.4
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    • pp.105-130
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    • 2010
  • Objectives : The purpose of this study was to assess the statistical methods errors used in the journal of Oriental Rehabilitation Medicine(JORM) and to identify the types of errors in statistical analysis. Methods : We reviewed quantitative articles that were published in the JORM from January 2005 through October 2009. Those were not used by statistical analysis such as literature studies, case study, review articles were not included in this analysis. A total of 296 articles was reviewed. We evaluated the adequacy and the validity of the statistical techniques with our checklist established be modified Lee's checklist, and three statistical evaluators assessed together to minimize bias. Results : Of the 222 articles, 213 were used in inferential and descriptive statistics. Of those 80% of articles adopting descriptive and inferential statistics were detected having statistical errors. One articles used 1.7 statistical method unit generally. Most frequently employed statistics were student t-test, one way ANOVA. pearson correlation analysis, Mann-whitney U test, paired t-test, and chi-square test in their order. However, most frequent statistics having errors were similar in order. The most common statistic errors were as follow: 1. absence of normality test, 2. misuse between paired test and unpaired test, 3. wrong choice of repeated measures analysis without consideration of time variables, 4, increase of Type I error by using inappropriate multiple test, 5. inappropriate application of discrete or categorical data instead of continuous data in correlation analysis, 6. poor consideration of basic consumption in chi-square test, 7. confusion between frequency comparison and average comparison, 8. mentioning the statistical technique without using it. Conclusions : We found various mistake or misuses in the applications of statistical methodologies in the articles published in the JORM. Careful consideration of statistical use and review from the specialist of statistics are warranted for improving the quality of JORM.

Analysis of various statistical techniques used in the articles published during last 19 years in The Journal of Korean Acupuncture & Moxibusition Society (침구학회지 논문에 응용된 통계방식에 관한 연구 -1984 창간호부터 2002년 19권 6호까지 19년간-)

  • Lee, Seung-deok
    • Journal of Acupuncture Research
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    • v.20 no.1
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    • pp.144-158
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    • 2003
  • This study was carried out to investigate what kinds of statistical techniques have been used to analyze data from oriental medicine research, For study, 551 original articles which used statistical techniques in their data analysis were selected form the articles published in The journal of Korean Acupuncture & Moxibustion Society(JKAMS) between 1984 to 2002. among them, 122 articles used descriptive statistics while 429 articles used inferential statistics for data analysis. For that 429 articles, t-test (189 articles), analysis fo variance (111 articles), chi-square test (14 articles), correlation (10 articles), regression analysis (4 articles), factor analysis(5 articles), or nonparametric test (23 articles) were chose to analyze the data. Nonparametric approach has substantial power in case data do not meet the assumption of normality. This method is not only easy to use ut also provides measures of the statistical variation of nominal and ordinal scale. This study shows that more and more recent papers use nonparametric test compared to the old articles. nine different statistical software or packages (SAS, SPSS, Statview, Minitab, Sigma plot, ISP, Graphpad prism, Excel, Access) have been used in the articles published JKMAS. High level statistical techniques such as SAS, SPSS, and Statview are user friendly and used most for acupuncture and Moxibustion research. Including tables and plots in an article facilitates understanding family process data from a descriptive standpoint, minimized erroneous statistical conclusions, and clarifies theoretically important relationships among variables. Table and plots have been used 500 and 233 articles, respectively. A computer procedure is proposed and illustrated with statistical packages using SAS, SPSS, Statview and ISP.

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Development of Measurement Scale for the Quality of Life in Hypertensive Patients (고혈압 환자의 삶의 질 측정도구 개발)

  • Kim, Keon-Yeop;Kam, Sin;Lee, Sang-Won;Park, Ki-Soo;Chae, Shung-Chull;Chun, Byung-Yeol
    • Journal of Preventive Medicine and Public Health
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    • v.38 no.1
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    • pp.61-70
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    • 2005
  • Objectives : To develop a tool for multidimensional measurement of the quality of life, which was psychometrically sound, short, and easy to administer for patients with hypertension. Methods : A sample of 1,115 hypertensive patients aged 20 or above in Cheong-Song County was studied from June 1997 to October 1998. In the development of the instrumental stage, the authors first conceptualized the quality of life. Item generation, item reduction, and questionnaire formatting were followed. Item-level (item descriptive, missing%, item internal consistency, item discriminant validity) analysis, scale-level (scale descriptive, floor and ceiling effect) analysis, and other tests(Cronbach's alpha, inter-dimension correlations, factor analysis, clinical validity) were performed to evaluate the validity and reliability of the new measurement scale. After 1 year, responsiveness and confirmatory factor analysis were performed. Results : The results of both item-level and scale-level analyses were acceptable. An acceptable degree of internal consistency was observed for each of the dimensions (Cronbach's alpha was 0.60 or higher). Inter-dimension correlations were below 0.50 and the factor analysis result was the same as the intended dimension structure. Correlation coefficients between perceived health status, stress and dimensions were proven to be acceptable. The result of comparing dimensional score means among ADL and MMSE-K groups above 60 years was statistically significant(p<0.05). The result of confirmatory factor analysis concluded that the dimensional structure model was well fitted. However, the result of responsiveness test using sensitivity and specificity was unsatisfactory. Conclusions : The newly developed measurement scale is psychometrically reliable and valid instrument for measuring quality of life in hypertensive patients.

Predicting Fashion Innovativeness by Perceived Attributes of Innovation (패션 예측과 지각된 혁신의 특성)

  • 정혜영
    • The Research Journal of the Costume Culture
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    • v.1 no.2
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    • pp.113-130
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    • 1993
  • The purpose of this study was to investigate the role of perceived attributes of innovation in predicting the fashion innovativeness of female college students and to compare results with the predictive efficacy of selected psychographic variables. The data were analyzed by factor analysis and stepwise multiple regression. Frequency, percentage and man values were used to evaluate the descriptive data. The major findings derived from analysis are as follows: 1. Of the psychographic variables used to predict fashion innovativeness fashion interest was the most predictive of fashion innovativeness followed by venturesomeness. 2. So only perceived attributes variables found to be predictive of fashion innovativeness was perceived risk.

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A survey analysis of Curriculum Reform Task Force of Yeungnam University

  • Yoo, Bong-Kyu;Yong, Chul-Soon;Choi, Han-Gon
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.68.2-68.2
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    • 2003
  • We performed this survey to hear Yeungnam University Graduates' opinion on the current curriculum for the purpose of creating an education system of “practically competent person” instead of simply “competent person”. Questionnaire was made up of 13 multiple-choice questions and 1 descriptive question by Curriculum Reform Task Force of Yeungnam University. The survey was administered to randomly chosen 50 graduates by e-mail on August 1, 2003 and was collected between August 1 and August 10, 2003 for the analysis of respondent’s reply. (omitted)

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A Critical Analysis on Social Welfare Researches in Korea (우리나라 사회복지학 연구경향에 관한 연구 - <한국사회복지학>에 실린 경험분석연구를 중심으로 -)

  • Kim, Yoon-Ock
    • Korean Journal of Social Welfare
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    • v.35
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    • pp.85-105
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    • 1998
  • This article examined the trend of 125 empirical researches which were published in Jr. of Korean Social Welfare from the first issue to no. 33. in terms of theoretical and methodological orientations. The content analysis was employed for the purpose of the study. Since 1979, the number of empirical researches was in the trend of increasing. The findings from this research were as follows. 1) Among 166 authors, 96.4% were majored in social welfare. Also 6.0% were practitioners and the rest of them were in the position of professors or researchers. The outcome of lack of interdisciplinary co-work and researcher-practitioner co-work led the article to conclude that the nature of applied social science of social welfare was not so actively pursued in Korea. 2) It was almost impossible to find researches which studied same theme or employed same analytical framework. This meant that the work of re-verifying and proving the contray could not be done although it was essential for theory-building. In other words, the disciplinary of social welfare was far behind in the process of theory-building. 3) The methodology upon which most of researches were relied was quantitative methodology(92.8%). The article concluded 'paradigm shift' was not begun in the disciplinary of social welfare yet. 4) The study concluded that the particularity of empirical researches of social welfare in Korea was descriptive-configurative study. Whereas 65.5% of 125 empirical studies were descriptive-configurative, 25% were hypothesis - model test and only 6% causal analysis. 5) The most applied statistic models through the period from 1979 to 1997 were descriptive statistics such as frequency, chi square test, Pearson's r. More advanced statistics such as logit regression, probit regression, path analysis, covariance structure analysis were shown since 1990.

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Suggestions on how to convert official documents to Machine Readable (공문서의 기계가독형(Machine Readable) 전환 방법 제언)

  • Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.67
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    • pp.99-138
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    • 2021
  • In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.

A Study on the Analysis of Nurses' Perception of the Fourth Industrial Revolution and the Importance and Performance of Future Core Nursing Competencies in a Tertiary Hospital (일 상급종합병원 간호사의 4차 산업혁명에 대한 인식 및 미래핵심간호역량 중요도-실행도 분석)

  • Kwon, Chi Hye;Kim, Mi Soon
    • Journal of Korean Clinical Nursing Research
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    • v.29 no.1
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    • pp.95-106
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    • 2023
  • Purpose: This study is descriptive survey research on the analysis of nurses' perception of the 4th industrial revolution and the importance and performance of future core nursing competencies in a tertiary hospital located in Seoul. Methods: Data were collected from 149 nurses with more than a year of work experience and analyzed using descriptive statistics, t-test, one-way ANOVA, and Importance Performance Analysis(IPA) with the IBM SPSS/WIN 25.0 program. Results: The nurses' perception of the 4th industrial revolution was 3.23±0.71 out of 5 points. The importance of future core nursing competencies was 4.31±0.48, and the performance of it was 3.47±0.54. The analysis results of IPA showed that A (area of continuous maintenance) included critical thinking, problem-solving skills, teamwork and collaboration, evidence-based practice, communication, quality improvement and safety, professionalism, self-regulation and self-management, and personal literacy. The specific competencies were not included in B (area of priority improvement). Creativity, informatics, healthcare policy, leadership, research ability, and continuing education were included in C (area of progressive improvement). Knowledge and patient-centered care, ability to manage resources as well as professional, legal, and ethical responsibility were included in D (area of overinvestment). Conclusion: The nurses seemed not to be fully prepared for the 4th industrial revolution. However, they were well aware of the importance of the future core nursing competencies. Therefore, if nurses increase the performance of core competencies in order of priority according to the IPA results, they will be able to independently lead the changing nursing field.