• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.

• Journal of Families and Better Life
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• v.13 no.4
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• pp.139-150
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• 1995

This research is planned to compare a quantitative methodology and a qualitative methodology in the study of the household work. For these research tasks this study is centered on husbands' participation in the household work. First it is reviewed study precedent using a quantitative method and a qualitative method to compare a research methodology of the household work. It is selected a survey method of quantitative methodology and a depth interview of qualitative methodology, Second the data are collected through the questionnaire and the depth interview with three couples,. Third to compare a quantitative methodology and a qualitative methodology it is looked about problems in the concept the grouping the collection of data and the interpretation of household work.

• School Mathematics
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• v.1 no.2
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• pp.433-449
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• 1999

This paper introduces a branch of qualitative method, called an in-depth interview method. By collecting data from the stories of Korean middle school students and a 9th grade American girl who used Geometer's Sketchpad and various software respectively for their mathematical problem solving, the qualitative analysis leads us to understand how such software affect their lives with mathematics subject. The unique characteristics and strands of each student's utterances reflect how software plays a role of learning aid for their mathematics learning. The arm of this study is both to get a good picture of each student's self-perceived relationship to mathematics as well as to explore external and objective parameters and factors in each student's internal situations. The qualitative descriptions of the collected data help us guide the students to the points where they could develop their interests and satisfaction with subject matter better. In this way, teachers may have more realistic understandings of how students become interested and motivated by mathematics, so that they are better able to find out ways of grasping the totalities of how the use of technology is interwoven into the school curricular.

• Proceedings of the Safety Management and Science Conference
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• 2011.11a
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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.

• Journal of Korean Library and Information Science Society
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• v.46 no.3
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• pp.255-275
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• 2015

The purpose of this study is to develop an approach to teaching qualitative research methods (TQRM) for Library and Information Science. To draw trend of TQRM, 76 course syllabi collected in the research oriented universities' master and doctoral programs, were analyzed using content analysis. The study proposes both common topics and essential strategies for TQRM in terms of the paradigm of qualitative research, research design, wide range of approaches to QR, diversity of collecting and analyzing data, writing, and evaluation criteria. It is very important to identify qualitative stance and to understand paradigms and philosophical and theoretical frameworks of QR for conducting QR reiteratively, creatively, reflectively.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.2
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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.

• Women's Health Nursing
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• v.18 no.4
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• pp.321-332
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• 2012

Purpose: This research was aimed to analyze the reports of qualitative researches published in Korean Journal of Women Health Nursing (KJWHN). Methods: Twenty qualitative researches using in-depth interviews or focus groups published in KJWHN during from 2002 to 2011 were selected for analysis. Selected reports were analyzed by consolidated criteria for reporting qualitative research (COREQ), which were a reporting guideline for qualitative researches, and consisted of thirty two items and three domains, i.e., (1) research team and reflexivity, (2) study design, and (3) data analysis and reporting. Results: Personal characteristics related to credentials, gender and interviewer's bias or assumption were less reported than other items in the 1st domain. In the 2nd domain, descriptions such as a presence of non-participants, pilot test for interview guide development, and transcript return to participants were less reported than other items. In the 3rd domain, items related to number of data coder, participants checking of the finding, and clarity of minor themes were less reported than other items. Conclusion: It could be concluded that COREQ is a useful guideline for reporting of qualitative studies. From these results, we suggest that full items of COREQ should be considered and described when researchers report qualitative research.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.4
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• pp.8-15
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• 2019

Korea's R&D investment has significantly increased in recent years and the quantitative outputs such as number of papers and patents have also increased with the investment. However, the quality of R&D outputs has not been fully addressed. In particular, quality of technical performance, such as the quality of patents, has attracted little attention. In this paper, a Data Envelopment Analysis (DEA) method was used to construct models for efficiency analysis of R&D investment, focused on quality of technical performance. Indices were proposed to analyze the quantitative and qualitative efficiencies of R&D investment. In order to effectively analyze R&D efficiencies, the measurement units of the input and output variables were standardized. Based on cases of livestock quarantine R&D projects of Korea, the quantitative and qualitative efficiencies of national R&D projects were analyzed and factors that would influence R&D efficiencies were identified. This paper suggests that both quantitative and qualitative efficiencies should be considered when measuring R&D efficiency. Also, it is recommended to carefully consider the characteristics of R&D projects during project selection stage.

• Korean Journal of Child Studies
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• v.18 no.2
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• pp.57-71
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• 1997

This study discusses the nature of data-interpretation process in the perspective of modern hermeneutics and explores its methodological implications for qualitative research on the life of children. Discussions center around the basic concepts of modern hermeneutics, such as the conceptual distinctions between understanding and explanation, the intersubjective reality constituted between the child's horizon and the researcher's, the concept of the hermeneutics circle and the importance of the openness of language in understanding children's lifeworld. The conclusions are made as follows: First, the concept of "understanding", which is the basic concern of qualitative research on children, has a much different meaning from that of "explanation" in quantitative research. The task of understanding lies in interpreting the lived meaning in context as experienced by children in all its complexity. Second the researcher's subjectivity in the interpretation process has a dual function in that it can produce a faulty hermeneutics circle and yet it provides the researcher with the strong momentum to open up her understanding towards a deeper and wider level. Third, the reliability and the validity of qualitative research should be discussed within the interpretation process itself in that interpretation in qualitative research is guided basically by the researcher's internal dialectic: between data (text) and her subjectivity. Lastly, the language in interpretive research should be open and free in terms of style in order to present a fuller and richer description of children's lifeworld and the delicate textures of their lived meanings.

• Korean Journal of Adult Nursing
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• v.21 no.4
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• pp.367-378
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• 2009

Purpose: The purpose of the study was to understand and describe health-related experience of women with physical disabilities, using feminist qualitative approach. Methods: Eight women with physical disabilities participated to the study. Their mean age was 43, ranging from 39 to 67 years old. The data were collected by individual in-depth interviews and all interviews were audio-taped and transcribed verbatim. The transcribed data were analyzed using traditional qualitative content analysis from a feminist perspective. Results: Six major categories emerged from the data. Category 1: "Isolation and alienation from the world.", Category 2: "A distorted self-image of physically disabled body.", Category 3: "Difficulties due to a fixed gender role.", Category 4: "Constant suffering from chronic pain.", Category 5: "Health problems that they have to endure by themselves.", Category 6: "Sublimation through self-reliance." The results of the study show how Korean women with physical disabilities suffer from social stigma, indifferences, and discriminations and struggle to survive in these unfriendly surroundings. Conclusion: The results of the study would help health professionals in designing effective intervention to improve health and to empower women with physical disabilities by providing deep understanding and critical insights of those women.