• 디지털산업정보학회논문지
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• 제14권3호
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• pp.115-125
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• 2018

In order to examine the ways to improve the efficiency of R&D investment, this paper presents analysis on both quantitative and qualitative efficiency of R&D projects. As Korea's R&D investment has significantly increased in recent years, the efficiency of R&D investment has attracted attention. In this paper, a Data Envelopment Analysis(DEA) method is used to construct models for quantitative efficiency and qualitative efficiency analysis. Based on a cases of agricultural R&D projects of Korea, the efficiency of national R&D projects were analyzed and their quantitative and qualitative efficiencies are compared. As a result, statistically significant difference between quantitative and qualitative efficiency was found. Also, characteristics of Decision Making Units(DMUs) which can influence both quantitative and qualitative efficiency were identified. In particular, the stage of a R&D project has significant impact on R&D efficiency. This study suggests that in order to enhance R&D efficiency both quantitative and qualitative nature of outputs should be considered when measuring R&D efficiency.

• 기본간호학회지
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• 제22권4호
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• pp.442-451
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• 2015

Purpose: The purpose of this study was to analyze reports of qualitative research published in Journal of Korean Academy of Fundamentals of Nursing (JKAFN). Methods: Twenty four qualitative research studies using in-depth interviews and focus group interviews published in JKAFN from 1994 to 2014 were selected for analysis. Chosen reports were analyzed by consolidated criteria for reporting qualitative research (COREQ), which is a reporting guideline for qualitative research. COREQ consists of 32 items and 3 domains. Results: In the 1st domain, the relationship of researchers and research participants, bias and understanding of the researchers on the study phenomenon were analyzed less than other items. In the 2nd domain, methodological research was carried out across various qualitative studies, but the description of the research environment and research questions for the interview guidelines was insufficient. In the 3rd domain, research results and data were consistent, but data showing opposing content and explanations of negative practices were not done at all. Conclusion: These results indicate a need for the development of evaluation tools for qualitative research and items should be added to improve the reliability and validity, research should be related to the ethics in the framework of the COREQ.

• 복식문화연구
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• 제10권6호
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• pp.601-616
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• 2002

Qualitative research is a method widely used in marketing research. However, the method has seldom been used in fashion marketing research in Korea. The purpose of this study was to prove that using both qualitative and quantitative research methods in main stage is much useful than using qualitative research method only in exploratory stage. Qualitative data were gathered by conducting Focus Group Interview(FGI) with 48 college students. Quantitative data were gathered by surveying college students, and 487 questionnaires were used in the statistical analysis. The data were analyzed using content analysis, mean, standard deviation, and t-test. As a result, FGI, one of the tools used in qualitative research methods, was proved to be useful in revealing consumers´deep emotional needs as well as purchase motives. FGI also revealed information which quantitative research method tools such as survey could have missed. Therefore, it is best to use multiple methods-simultaneous use of quantitative and qualitative methods-to understand fast changing consumers´needs and purchase motives.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2011년도 추계학술대회
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• pp.213-217
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• 2011

The research shows misuse cases of quantitative regression analysis used in QC circle activity and six sigma movement which presents guidelines of correct use for quality practitioners. Additionally, the qualitative regression analysis that responses nonconforming ratio of variable y, is reviewed based on misuse cases for proper use by practitioners in the field. In most cases, there are frequent errors that involve the correlation analysis or ANOVA, regardless of using quantitative regression analysis. In addition, qualitative regression analysis for the nonconforming ratio that has dependent variable of discrete and categorical data, is often applied with quantitative regression and result in ineffective quality improvement.

• 한국학교수학회논문집
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• 제19권1호
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• pp.43-61
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• 2016

90년대 중후반 이후 질적 연구법이 우리나라에서 본격적으로 소개되기 시작한 이후, 질적 연구물의 수는 지속적으로 증가하고 있다. 그러한 변화에도 불구하고, 우리의 연구 맥락에서 실제로 적용된 질적 연구물에 대한 분석이나 방법론적 논의는 매우 미흡한 것으로 보인다. 이러한 문제의식에서 본 연구는 출발하였다. 구체적으로 본 연구는, 수학교육에서 질적 연구방법을 어떻게 적용하고 있는지를 분석하여, 향후 질적 연구법을 활용하고자 하는 연구자들에게 연구에서 의도한 목적 달성과 연구 결과의 질적 향상에 도움이 될 수 있는 방법론적 시사점을 제시하고자 한다. 이러한 연구 목적을 성취하기 위하여, 본 연구에서는 한국수학교육학회의 학회지인 '초등수학교육'에서 질적 연구방법을 활용하여 2012년 게재된 논문 5편을 대상으로 샘플링 선정, 자료 수집 및 자료 분석 방법 등을 중심으로 세밀하게 분석하여, 그 결과와 논의점을 질적으로 제시하고 있다.

• 지능정보연구
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• 제12권4호
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• pp.51-60
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• 2006

정성적 추론은 자연 세계에 대한 정성적, 직관적인 지식을 밝혀내어 코드화하는 목표를 갖고 연구되어 왔다. 정성적 추론은 전자, 기계 등의 도메인에서 성공적으로 사용되어 그 실효성을 입증할 수 있었으나, 대부분의 추론은 시뮬레이션에 집중되어 왔다. 본 연구에서는 주어진 상황에서 변화가 발생했을 때, 이 변화가 어떻게 영향을 미치며 파급되는지를 예측할 수 있는 정성적 비교분석 기법을 소개하고자 한다. 본 연구에서는 파라미터의 상대적인 변화의 파급만을 예측한 기존의 연구에 상대적 변화의 증가율 변화에 대한 추론을 추가하여 확장하였다. 상대적인 주어진 상황에 대한 인과모델이 정성적 분야 모델로부터 형성되고, 여기에 비교분석 추론 기법을 적용하여 변화의 연쇄적인 인과 관계를 추적하게 된다. 이러한 기법은 변화의 예측 뿐 아니라, 이런 변화를 이끌어낸 인과 관계를 설명하는 기능을 제공하게 되어, 디자인, 진단, 지능형 교육 시스템, 환경 영향평가 등에 이용되리라 기대된다.

• 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.

• 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.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 Proceedings of the Korea Automatic Control Conference, 11th (KACC); Pohang, Korea; 24-26 Oct. 1996
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• pp.275-278
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• 1996

This fault diagnosis system consists of qualitative models, qualitative interpreter, and inference engine. Qualitative models are formed by analysis of the relationships between faults and behaviors of sensor trends, which are described by state transition trees. Qualitative interpreter outputs confidence factors with three qualitative quantities which represent the states of sensor trends. And then, the possible faults are detected by inference module which matches the states of trends within a window size with the qualitative models using the well-known min-max operation.

• 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.