• The Mathematical Education
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• v.42 no.2
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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.

• Proceedings of the Korea Society of Design Studies Conference
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• 2001.10a
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• pp.58.2-58
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• 2001

• Journal of Korean Academy of Fundamentals of Nursing
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• v.6 no.3
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• pp.570-582
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• 1999

Although computers cannot analyze textual data in the same way as they analyze numerical data. they can nevertheless be of great assistance to qualitative researchers. Thus, the use of computers in analyzing qualitative data has increased since the 1980s. The purpose of this article was to explore advantages and disadvanteges of using computers to analyze textual data and to suggest strategies to prevent problems of using computers. In additon, it illustrated characteristics and functions of softwares designed to analyze qualitative data to help researchers choose the program wisely. It also demonstrated precise functions and procedures of the NUDIST program which was designed to develop a conceptual framework or grounded theory from unstructured data. Major advantage of using computers in qualitative research is the management of huge amount of unstructured data. By managing overloaded data, researcher can keep track of the emerging ideas, arguments and theoretical concepts and can organize these tasks mope efficiently than the traditional method of 'cut-and-paste' technique. Additional advantages are the abilities to increase trustworthiness of research, transparency of research process, and intuitional creativity of the researcher, and to facilitate team and secondary research. On the other hand, disvantages of using computers were identified as worries that the machine could conquer the human understanding and as probability of these problems. it suggested strategies such as 1) deep understanding of orthodoxy in analytical process. To overcome philosophical and theoretical background of qualitative research method, 2) deep understanding of the data as a whole before using software, 3) use of software after familiarity with it, 4) continuous evaluation of software and feedback from them, and 5) continuous awareness of the limitation of the machine, that is computer, in the interpretive analysis.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.160-169
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• 2022

This qualitative study aimed to investigate ways to improve effective cooperative learning from students' perspective by understanding and analyzing the learning experiences of nursing students who participated in a collaborative problem-solving learning model. Data were collected through focus group interviews and reflection journals of six second-year nursing students from G-university in J-city who participated in a collaborative problem-solving learning model course. The interview data were analyzed and divided into 3 categories and 10 subcategories according to the six-step thematic analysis method proposed by Braun and Clarke. The results of analyzing the interviews were considered based on three areas: preparation before learning, the process of collaborating as a cooperative learning experience, and solutions and expectations after learning. The participants felt frustrated because collaborative problem-solving took more time for individual learning than traditional methods did and would not allow them to check the correct answers immediately. However, they gained new experiences by solving problems and engaging in discussions within their learning community. The participants' expectations included material that could help their learning, measures to prevent free-riders, and consideration of the learning process in evaluation factors. Although this study has sample limitations by targeting nursing students in only one region, it can be used to help operate collaborative problem-solving classes, as it reflects the real experiences and opinions of students.

• Journal of the Korean Society for information Management
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• v.30 no.3
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• pp.157-181
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• 2013

Using user satisfaction surveys and LibQUAL+ instruments, libraries are increasingly gathering qualitative data such as verbatim user comments as well as quantitative data. Such qualitative data can be utilized as clues in establishing library service strategies: to better understand user issues, to identify areas for service improvement, and to prioritize user needs. For this, it is necessary to analyze user comments data and to apply results to the delivery of service and the library policies. This study is an attempt to investigate ways in which user comments data can be made useful in libraries. It identifies different methods of analyzing user comments data from LibQUAL+ surveys and compares qualitative data analysis software programs and taxonomies. It also presents the results of applying these tools to a subset of actual user comments data gathered from a recent LibQUAL+ survey at a major university library in Korea.

• 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.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.66-69
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• 2008

본 연구에서는 포레스터 그룹에서 제시한 커뮤니티 활용그룹을 중심으로, 실험 참여자 12명을 섭외하여 사용자 조사를 진행한후, 정성적 분석을 진행하였다. 그 과정에서 슈나이더만의 네트웍을 활용하는 4가지 주요 행동들을 대입하여 이에 해당하는 행위들을 파악할 수 있도록 프레임웍을 갖추었다. 결과로 이들의 행동들이 6가지로 차이를 분명하게 나타내고 있으며 이를 통해 사용자 연구에서의 정성적 분석이 구체적 근거를 가질 수 있음을 검증하였다. 본 논문은 사용자 조사를 통해 연구를 진행하는 과정에서 섭외된 사용자의 객관적 검증을 위해 연구자의 성향을 조사할 수 있는 프레임웍을 반영하여 신뢰도를 높일 수 있음을 케이스 스터디로 연구하였다.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.509-516
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• 2021

This study aims to find out and measure the level of factors affecting the applicability of environmental management accounting (EMA) in Vietnamese automobile industry enterprises. Data was collected using both quantitative and qualitative methods. First, in general research, qualitative methodology was used to find out factors (variables) that can impact the possibility of implementing EMA in Vietnamese automobile enterprises. Second, in detailed research, all variables are measured using a quantitative method by collecting data through sampling and sending questionnaires. 500 questionnaires were sent to automobile enterprise managers and only 352 questionnaires met the criteria for the data analysis. The study used a mixed research design approach- a procedure for collecting, analyzing, and "mixing" both quantitative and qualitative research and methods in a single study to understand the research problem. Results show that 7 factors affect the possibility of implementing EMA in Vietnamese automobile industry enterprises. These factors are coercive pressure, normative pressure, mimetic pressure, business environmental uncertainty, environmental strategy, benefits when applying EMA, and task complexity. Based on the results of the study, promoting EMA in the automotive industry should depend mainly on the role of governmental departments.

• The Journal of Information Systems
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• v.15 no.2
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• pp.125-152
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• 2006

The purpose of this study is to explore the process of knowledge creation at the infusion stage in IT adoption. Because of the lack of the prior research on the infusion and the process of individual knowledge creation we employed Grounded Theory Method which is a qualitative method for building a theory inductively. Collecting and analyzing data from 13 knowledge workers including medical doctors, project managers, and bankers, a process model is developed through the serial process of open, axial and selective coding. We conceptualized the knlowledge creation at the infusion stage as a social process where knowledge is expressed through private and public justifications. This study also found that organizational politics, top management supports, and organization strategy are important factors facilitating the knowledge creation process.

• Journal of The Korean Digital Architecture Interior Association
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• v.12 no.2
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• pp.53-60
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• 2012

In this paper, we present new methods for identifying keywords for foresight topics that utilize the internet and textmining techniques to draw objective and quantified information that support experts' qualitative opinions and evaluations in foresight. Furthermore, by applying this fabricated procedure, we have derived keywords to analyze priorities in architectural engineering. Not much difference between qualitative methods of experts and quantitative methods such as text mining has been observed from comparison between technologies derived via qualitative method from "The Science Technology Vision" (control group). Therefore, as a quantitative tool useful for drawing keywords for foresight, textmining can supplement quantitative analysis by experts. In addition, depending on the level and type of raw data, text mining can bring better results in deriving foresight keywords. For this reason, research activities accommodating Internet search results and the development of textmining methods for analyzing current trends are in demand.