• 제목/요약/키워드: Qualitative data analysis

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질적 연구평가 기준 (Criteria for Critique of Qualitative Nursing Research)

  • 신경림
    • 대한간호학회지
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    • 제26권2호
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    • pp.497-506
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    • 1996
  • Gradually, there has been increase in the use of qualitative research methods in nursing research. Nursing scholars are using qualitative research methods to explore the essence of nursing and discover its meaning. However, there has been lack of standards for evaluating qualitative nursing research. Often nursing researchers are applying quantitative research evaluation standards to qualitative nursing research. Thus, there has not been any notable qualitative research done to date. In order to improve the quality of nursing research done to discover new knowledge for the nursing, & for development of nursing theory, criteria for critiquing qualitative research should be established. Therefore, this researcher introduced standards as criteria for critiquing qualitative research which are based on literature reviews and re search experiences. The suggested criteria are developed several question's as follows : 1) description of the research phenomena, 2) significance, 3) research purpose, 4) research question, 5) assumptions, 6) researcher's abilities, 7) selection of research samples, 8) data collection, 9) human subjects, 10) data analysis, 11) description of researcher's results, 12) literature review. Follow-up of concrete questions for each of the criterias have been developed.

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도서관 이용자 코멘트 데이터 분석도구 리뷰 및 적용: LibQUAL+ 설문 데이터를 중심으로 (A Review and Application of Library User Comments Data Analysis Tool: Focused on the LibQUAL+ Survey Comments)

  • 변제연;심원식
    • 정보관리학회지
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    • 제30권3호
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    • pp.157-181
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    • 2013
  • 최근 도서관에서 실시하는 이용자 만족도 조사, LibQUAL+ 평가 등을 통해 계량적 데이터뿐만 아니라 이용자의 직접적 견해를 담은 이용자 코멘트 데이터가 점점 더 많이 수집되고 있다. 이러한 질적 데이터는 이용자의 입장을 이해하고, 도서관 서비스의 환경 개선이 필요한 영역을 확인하며, 이용자 니즈의 우선순위를 파악하는 등 도서관 서비스 개선을 위한 전략 수립에 유용한 자료로써 활용될 수 있는 것이다. 따라서 이용자 코멘트 데이터는 그 내용이 분석되고, 분석 결과를 서비스 및 정책에 반영할 필요가 있다. 본 연구는 이용자 코멘트 데이터의 활용성을 높일 수 있는 기반을 제공하고자, LibQUAL+ 설문의 이용자 코멘트 분석을 중심으로 하여 실제 외국 도서관의 LibQUAL+ 설문 이용자 코멘트 분석 방법을 알아보고, 분석을 위해 사용된 질적 데이터 분석 소프트웨어 및 분류표 등 분석도구에 대해 살펴보았다. 또한, 대표적 질적 데이터 분석 소프트웨어와 외국에서 LibQUAL+ 이용자 코멘트 분석을 위해 개발된 분류표를 최근 국내 대학도서관에서 시행된 LibQUAL+ 설문의 이용자 코멘트 일부에 적용하여 분석해봄으로써 그 유용성을 확인하였다.

국내 한의학 학회지에 게재된 질적 연구 보고 분석 (Analysis on Reports of Qualitative Research Published in Domestic Korean Medicine Journals)

  • 이승환;성우용;임정화
    • 동의신경정신과학회지
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    • 제27권2호
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    • pp.77-87
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    • 2016
  • Objectives This study was aimed to analyze the reports of qualitative research published in domestic Korean medicine journals.Methods Eleven published qualitative research studies were selected for analysis. Selected reports were analyzed by Consolidated Criteria for Reporting Qualitative Research (COREQ), a reporting guideline for qualitative research.Results In the 1st domain, descriptions of personal characteristics, interviewer's bias or assumption were insufficient. In the 2nd domain, descriptions such as presence of non-participants, research questions for the interview guidelines, data saturation and transcript return to participants were insufficient. In the 3rd domain, descriptions of items related to number of data coder, participants evaluating the finding, and clarity of minor themes were insufficient.Conclusions Qualitative studies in Korean Medicine have increased. COREQ should be considered by investigators who report qualitative research, in order to improve the quality of research.

수간호사의 간호학생 임상실습지도 경험: 질적 연구 (Head Nurses' Experiences in Clinical Practice Education of Nursing Students: A Qualitative Research)

  • 박영아;공은희;박유진
    • 한국간호교육학회지
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    • 제24권4호
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    • pp.337-346
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    • 2018
  • Purpose: The aim of this study was to understand and describe difficulties and needs experienced by head nurses in the clinical practice education of nursing students. Methods: A qualitative descriptive method was employed. A convenience sampling method was used to recruit participants from four hospitals in South Korea. Twenty-one head nurses participated in the first interview and 17 of them participated in the second interview. Data were collected through two in-depth interviews and field notes were written. Qualitative content analysis method was utilized for data analysis using ATLAS.ti 6.2 software. Results: Thirty-one codes and twelve categories were identified. Four themes emerged from data analysis, which included 'too many tasks', 'limitations of student education', 'many differences', and 'lack of support and resources.' Conclusion: This qualitative study described head nurses' many difficulties and needs in the clinical practice education of nursing students. The results of this study provide valuable understanding and knowledge of head nurses' experiences in students' clinical education, which leads to improvement of the quality of clinical education for nursing students.

수학교육에서 질적(Qualitative) 연구 방법 (Qualitative Research Method in Mathematics Education)

  • 이중권
    • 한국수학교육학회지시리즈A:수학교육
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    • 제42권2호
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    • pp.111-119
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    • 2003
  • This research discussed a general concept on the qualitative research methods in mathematics education. It provided a classification of research methods in mathematics education. It also described research trends in mathematics education. It addressed how research design facilitates formulating a research problem, selecting a research design, choosing who and what to study, deciding how to approach Participants, selecting means to collect data choosing how to analyzing data, and interpreting data and applying the analysis. This study addressed the issues involved in choosing relevant populations and in selecting and sampling qualitative data. It described how populations are conceptualized and distinguished between probability sampling and criterion based selection. It discussed not only data arrangement such as, cross-sectional and categorical indexing, non-cross- sectional data organization, but also diagram flow chart matrix, cognitive map, family tree to facilitate analyzing data.

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응급실 중증도 분류 간호사의 업무 경험: 질적 연구 (Triage Nurses' Work Experiences in Emergency Department: A Qualitative Research)

  • 박유진;공은희;박영아
    • 근관절건강학회지
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    • 제25권3호
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    • pp.176-186
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    • 2018
  • Purpose: The purpose of the study was to describe work experiences of triage nurses working at emergency departments in Korea. Methods: A qualitative descriptive research method was used. Twenty-one nurses of emergency department participated in the first interview and 16 of them participated in the second interview. Data were collected through in-depth interviews and field notes. Qualitative content analysis was utilized to analyze the data. Results: Forty-eight codes, 12 categories, and six themes emerged from the data analysis: caring on the frontline, burden as an initial evaluator, handling things alone, lack of others' understanding, becoming an expert, and needs for improvement. Participating triage nurses faced many challenges and difficult situations in emergency departments. They felt burden and loneliness as initial evaluator. Also, they felt pride in their work and struggled to become a professional. Conclusion: This study is the first qualitative study that has focused on exploring the experiences of triage nurses in emergency departments in Korea. The results provide description and in-depth understanding of working experiences of triage nurses. The results provide valuable fundamental data for regulation, clinical practice, education, and research for triage nurses in Korean emergency departments.

빅데이터 기반의 정성 정보를 활용한 부도 예측 모형 구축 (Bankruptcy Prediction Modeling Using Qualitative Information Based on Big Data Analytics)

  • 조남옥;신경식
    • 지능정보연구
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    • 제22권2호
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    • pp.33-56
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    • 2016
  • 대부분의 부도 예측에 관한 연구는 재무 변수를 중심으로 통계적 방법 또는 인공지능 기법을 적용하여 부도 예측 모형을 구축하였다. 그러나 재무비율과 같은 회계 정보를 이용한 부도 예측 모형은 재무 제표 결산 시점과 신용평가 시점 간 시차를 고려하지 않을 뿐만 아니라 해당 산업의 경제적 상황과 같은 외부 환경적인 요소를 반영하기 어렵다는 한계점이 존재하였다. 기업의 부도 여부를 예측하기 위해 정량 정보인 재무 변수만을 이용하는 것에 한계가 있음에도 불구하고 정성 정보를 부도 예측 모형에 반영한 연구는 아직 미흡한 실정이다. 본 연구에서는 재무 변수를 이용하는 기존 부도 예측 모형의 성과를 개선하기 위해 빅데이터 기반의 정성 정보를 추가적인 입력 변수로 활용하는 부도 예측 모형을 제안하였다. 제안 모형의 성과 향상은 정성 정보를 예측 모형에 통합시키기에 적합한 형태로 정보의 유형을 변환시킬 수 있는가에 따라 달려있다. 이에 본 연구에서는 정성 정보 처리를 위한 방법으로 빅데이터 분석 기법 중 하나인 텍스트 마이닝(Text Mining)을 활용하였다. 해당 산업과 관련된 경제 뉴스 데이터로부터 경제 상황에 대한 감성 정보를 추출하기 위해 도메인 중심의 감성 어휘 사전을 구축하고, 구축된 어휘 사전을 기반으로 감성 분석(Sentiment Analysis)을 수행하였다. 형태소 분석 등을 포함한 텍스트 전처리 과정을 거쳐 감성 어휘를 추출하고, 각 어휘에 대한 극성 및 감성 점수를 부여하였다. 분석 결과, 전통적 부도 예측 모형에 경제 뉴스 데이터에서 도출한 정성 정보를 반영하는 것은 모형의 성과를 개선하는 것으로 나타났다. 특히, 경제 상황에 대한 부정적 감정이 기업의 부도 여부를 예측하는 데 더욱 효과적임을 알 수 있었다.

Qualitative Research in Healthcare: Necessity and Characteristics

  • Jeehee Pyo;Won Lee;Eun Young Choi;Seung Gyeong Jang;Minsu Ock
    • Journal of Preventive Medicine and Public Health
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    • 제56권1호
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    • pp.12-20
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    • 2023
  • Quantitative and qualitative research explore various social phenomena using different methods. However, there has been a tendency to treat quantitative studies using complicated statistical techniques as more scientific and superior, whereas relatively few qualitative studies have been conducted in the medical and healthcare fields. This review aimed to provide a proper understanding of qualitative research. This review examined the characteristics of quantitative and qualitative research to help researchers select the appropriate qualitative research methodology. Qualitative research is applicable in following cases: (1) when an exploratory approach is required on a topic that is not well known, (2) when something cannot be explained fully with quantitative research, (3) when it is necessary to newly present a specific view on a research topic that is difficult to explain with existing views, (4) when it is inappropriate to present the rationale or theoretical proposition for designing hypotheses, as in quantitative research, and (5) when conducting research that requires detailed descriptive writing with literary expressions. Qualitative research is conducted in the following order: (1) selection of a research topic and question, (2) selection of a theoretical framework and methods, (3) literature analysis, (4) selection of the research participants and data collection methods, (5) data analysis and description of findings, and (6) research validation. This review can contribute to the more active use of qualitative research in healthcare, and the findings are expected to instill a proper understanding of qualitative research in researchers who review qualitative research reports and papers.

The Arrival of the Industry 4.0 and the Importance of Corporate Big Data Utilization

  • AN, Haeri
    • 동아시아경상학회지
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    • 제10권2호
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    • pp.105-113
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    • 2022
  • Purpose - An increase in automation has been as a result of digital technologies. The data will be instrumental in the determination of the services that are more necessary so that more resources can be allocated for them. The purpose of the current research is to investigate how big data utilization will help increase the profitability in the industry 4.0 era. Research design, Data, and methodology - The present research has conducted the comprehensive literature content analysis. Quantitative approaches allow respondents to decide, but qualitative methods allow them to offer more information. In the next step, respondents are given data collection equipment, and information is collected. Result - The According to qualitative literature analysis, there are five ways in which big data utilization will help increase the profitability in the industry 4.0 era. The five solutions are (1) Better Customer Insight, (2) Increased Market Intelligence, (3) Smarter Recommendations and Audience Targeting, (4) Data-driven innovation, (5) Improved Business Operations. Conclusion - Modern companies have been seeking a competitive advantage so that they can have the edge over other companies in the same industries providing the same services and products. Big data is that technology that businesses have always wanted for an extended period of time to revolutionize their operations, making their businesses more profitable.