• Title, Summary, Keyword: qualitative analysis

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Secondary Analysis: Focusing on Qualitative Research (이차분석 : 질적연구를 중심으로)

  • 이명선
    • Journal of Korean Academy of Nursing
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    • v.34 no.1
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    • pp.35-44
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    • 2004
  • Purpose: This article explored issues arising from secondary analysis of qualitative data and analyzed the results of qualitative secondary analysis studies published in English, focusing on the methodological aspects. Method: A total of 29 studies were identified as qualitative secondary analysis studies, retrieving from the CINAHL database from 1982 to 3rd week of April 2003. These studies were analyzed by publication year, research method, and type of approach to secondary analysis. Result: The year that the qualitative secondary analysis study first published was 1992 and the number of the studies using secondary analysis has increased after the middle of 1990s. Grounded theory was the one the most frequently used(n=11, 37.9%) and phenomenological study the second most(n=6, 20.7%). In terms of types of approach, fifteen studies(51.7%) focused on the specific concepts that were not explored in the primary studies. Nine(31.0%) focused on the specific types of participants. Six were aimed to integrate contexts or perspectives to generate more general and abstract analysis of qualitative data. Conclusion: The results of this article will stimulate methodological discussion of qualitative secondary analysis and activate qualitative studies using secondary analysis.

Preliminary Studies on Embedding Qualitative Reasoning into Qualitative Analysis and Laboratory Simulation

  • Pang, Jen-Sen;Syed Mustapha, S.M.F.D;Mohd.Zain, Sharifuddin
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • pp.230-236
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    • 2001
  • In this paper, we explored the possibilities of embedding Qualitative Reasoning techniques, the Qualitative Process Theory (QPT), and its implementation in the field of inorganic chemistry. The target field of implementation is Qualitative Chemical Analysis and Laboratory Simulation. By embedding such technique in this education software we aim to combine theory and practice into a single package. The system, are able to generate reasoning and explanation based on chemical theories, helping student in mastering basic chemistry knowledge and practical skill as well. We also review the suitability of embedding QPT techniques into chemistry in general, by comparing some examples from both fields.

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Analysis of Qualitative Research Published by Korean Journal of Adult Nursing (1989-2011) (성인간호학회지(1989-2011)에 게재된 질적 연구의 동향 분석)

  • Kim, Yeong-Kyeong;Hwang, Sun-Young;Shin, Su-Jin
    • Korean Journal of Adult Nursing
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    • v.23 no.6
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    • pp.633-641
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    • 2011
  • Purpose: This study was to examine the trend of qualitative study published by Korean Journal of Adult Nursing from 1989 to 2011, and to suggest future directions through identifying its strength and weakness. Methods: Ninety one published qualitative studies were analyzed focusing on research methodology and research themes using descriptive statistics. Results: During the last 22 years, the number of qualitative studies has rapidly increased and the methodology used to analyze qualitative data has been diversified. The most frequently used analytic method was a phenomenology (48.4%) and the frequency of conducting a content analysis has increased. The prevailing data collection settings were community (61.5%), followed by hospital (35.2%). Especially, many researches showed specific description on researcher's efforts to get validity and reliability of studies in individual studies presented within recent 10 years. However, it was noted that meta study using mixed methodology and secondary analysis of qualitative studies are rarely used and need to be facilitated. Conclusion: Nursing Researchers utilizing qualitative research should continuously make efforts to increase the validity and reliability of their studies and to find knowledges or strategies applicable to practice through using mixed methods or secondary analysis of individual studies.

Fault diagnosis system using qualitative models and interpreters

  • Shin, S.;Lee, Seon-Ho;Bien, Zeungnam
    • 제어로봇시스템학회:학술대회논문집
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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.

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Comparative Study of Contrast-Enhanced Ultrasound Qualitative and Quantitative Analysis for Identifying Benign and Malignant Breast Tumor Lumps

  • Liu, Jian;Gao, Yun-Hua;Li, Ding-Dong;Gao, Yan-Chun;Hou, Ling-Mi;Xie, Ting
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.19
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    • pp.8149-8153
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    • 2014
  • Background: To compare the value of contrast-enhanced ultrasound (CEUS) qualitative and quantitative analysis in the identification of breast tumor lumps. Materials and Methods: Qualitative and quantitative indicators of CEUS for 73 cases of breast tumor lumps were retrospectively analyzed by univariate and multivariate approaches. Logistic regression was applied and ROC curves were drawn for evaluation and comparison. Results: The CEUS qualitative indicator-generated regression equation contained three indicators, namely enhanced homogeneity, diameter line expansion and peak intensity grading, which demonstrated prediction accuracy for benign and malignant breast tumor lumps of 91.8%; the quantitative indicator-generated regression equation only contained one indicator, namely the relative peak intensity, and its prediction accuracy was 61.5%. The corresponding areas under the ROC curve for qualitative and quantitative analyses were 91.3% and 75.7%, respectively, which exhibited a statistically significant difference by the Z test (P<0.05). Conclusions: The ability of CEUS qualitative analysis to identify breast tumor lumps is better than with quantitative analysis.

The Study on Quantitative and Qualitative Analysis of Mentalizing the Rooms of Mind (마음의 방 그리기에 관한 양적, 질적 분석 연구)

  • Yu, Su Yang;Kang, Hyung Won
    • Journal of Oriental Neuropsychiatry
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    • v.28 no.3
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    • pp.275-286
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    • 2017
  • Objectives: To suggest the basis of clinical applications through qualitative and quantitative analysis of mentalizing the rooms of mind in the mindfulness meditation program. It is one of the M&L psychotherapy techniques that enables observing the mind more objectively by structuring, visualizing and embodying state of the mind at the moment of drawing a room of the mind. Methods: In this study, we conducted 5t mindfulness meditation program sessions with 85 college students studying Oriental Neuropsychiatry at the University of Oriental Medical College. Before and after the program, data checked the FFMQ and drew the room of mind. Qualitative analysis by subjects were analyzed using qualitative and quantitative methods. Results: First, results of the quantitative analysis revealed significant difference between pre-and post on describing one of the FFMQ sub-factors. However, there were no statistically significant other factors. Second, qualitative analysis results follow as: It extracted 2 keywords including 'viewpoint as a therapist' and 'viewpoint as a client' and 3 consisting words 'positive response', 'negative response', 'ambiguous response'. Conclusions: Mentalizing the room of mind is the work of visualizing, diagramming, objectifying, and specifying the mind of this moment. It is concerned that the value of clinical use is high as a useful tool to increase concentration of meditation and observe and evaluate changes of mind before and after treatments.

Two-Dimensional Qualitative Asset Analysis Method based on Business Process-Oriented Asset Evaluation

  • Eom, Jung-Ho;Park, Seon-Ho;Kim, Tae-Kyung;Chung, Tai-Myoung
    • Journal of Information Processing Systems
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    • v.1 no.1
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    • pp.79-85
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    • 2005
  • In this paper, we dealt with substantial asset analysis methodology applied to two-dimensional asset classification and qualitative evaluation method according to the business process. Most of the existent risk analysis methodology and tools presented classification by asset type and physical evaluation by a quantitative method. We focused our research on qualitative evaluation with 2-dimensional asset classification. It converts from quantitative asset value with purchase cost, recovery and exchange cost, etc. to qualitative evaluation considering specific factors related to the business process. In the first phase, we classified the IT assets into tangible and intangible assets, including human and information data asset, and evaluated their value. Then, we converted the quantitative asset value to the qualitative asset value using a conversion standard table. In the second phase, we reclassified the assets using 2-dimensional classification factors reflecting the business process, and applied weight to the first evaluation results. This method is to consider the organization characteristics, IT asset structure scheme and business process. Therefore, we can evaluate the concrete and substantial asset value corresponding to the organization business process, even if they are the same asset type.

A Case Study on Qualitative Efficiency of National R&D Projects: Focused on Agricultural Research Area (국가연구개발사업의 질적 효율성 분석에 관한 사례연구: 농림축산 분야를 중심으로)

  • Kim, Kyungsoo;Cho, Namwook
    • Journal of the Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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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.

Analysis of Qualitative Research Published by Journal of Korean Academy of Fundamentals of Nursing (기본간호학회지에 게재된 질적 연구의 분석)

  • Park, Hyoung-Sook;Kim, Young-Mi
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.22 no.4
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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.

Understanding of the Misuse Cases of Quantitative and Qualitative Regression Analysis (정량적, 정성적 회귀분석의 오적용과 이해)

  • Choe, Seong-Un
    • Proceedings of the Safety Management and Science Conference
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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.

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