• Title, Summary, Keyword: quantitative research

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An Analysis on Research Trends in Korean Language Education: Focusing on Quantitative Research Methods (한국어교육 연구방법론에 대한 동향분석 -양적연구를 중심으로-)

  • Shin, Jiwon;Oh, Rosie
    • Journal of Korean language education
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    • v.28 no.4
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    • pp.87-119
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    • 2017
  • The purpose of this study is to classify research methods used in Korean language education studies with a focus on identifying how and what quantitative research methods are utilized in these studies. Analyzing articles published in the Journal of Korean Language Education from 2005 to 2016, we found a trend that as a replacement for secondary research, primary research played a more prominent role after 2010, as the number of quantitative studies and studies using mixed methods increased. We also found that within quantitative studies of Korean language education, research themes and statistical analyses became diversified after 2010. In order for quantitative research to contribute continuously to Korean language education, the quality of research has to improve. In particular, quantitative researchers in this area should: (a) increase their general understanding of statistical methods, (b) conduct "power analysis" to determine the appropriate sample size for hypothesis testing, and (c) be aware of measurement issues such as measurement equivalence and DIF when measuring latent psychological constructs. It is also important to notice that these points above should be considered carefully in the planning and designing stage for researchers.

Analysis of Clinical Research Trends on Cold-Heat Pattern Identification in Korea - Focused on Quantitative Indicators for General People (한열변증의 국내 임상연구 동향 분석 - 일반인의 정량지표를 중심으로)

  • Yeo, Min Kyung;Lee, Young Seop
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.31 no.2
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    • pp.145-152
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    • 2017
  • The purpose of this study was to investigate the clinical research of Cold-Heat of pattern identification(PI) focused on quantitative indicators for general people in Korea, through the review of OASIS, KISS, DBpia, NDSL database. Ten clinical researches were analyzed in this study. These research gradually started from 2004 to 2009 but there was no research after 2010. Diagnosis of Cold-Heat PI all was done through a questionnaire, 7 or most researches had not used the intervention methods. Quantitative indicators related to the Cold-Heat PI mentioned in the selected 10 researches are seven, these indicators include heart rate variability(HRV), electroencephalogram, Yangdorak, respiratory index, electrogastrography, acoustic analysis index, western health test index. Related to the HRV were 3 researches, but correlation of significant indicators was a few levels(R=0.026-0.090). So far, studies regarding at the quantitative indicators of the prior the Cold-Heat PI were few, and the results of the study showed that low statistical precision, a lack of biological basis. Refer to the current state, in the future, we expect that research of quantitative indicators of scientific evidence-based through calculated and precise research concerning Cold-Heat PI be regarded as important in Korean Medicine.

The Meaning and Limitation of Qualitative Research: Comparing with Quantitative Research (질적연구의 의미와 한계: 양적연구와의 비교를 통하여)

  • Baek Sang-Yang
    • The Journal of Information Systems
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    • v.15 no.1
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    • pp.239-254
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    • 2006
  • Currently, there emerges a high expectation on Qualitative Research in the Korean Management research community. The expectation stems from the problems and critiques of the dominance of Quantitative research in the Korean management research. This study deals with whether Qualitative Research can help solve those problems. First, several confusing terms related to Qualitative research are categorized; next the meaning of 'Qualitative' is discussed and the meaning and role of theory in Qualitative research is presented. Finally, this study provides some suggestions on how to execute Qualitative Research under the context of the dominance of Quantitative Research and recommends adding Qualitative research courses in the Korean Management curriculum.

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A Case Study of Fashion Marketing Research using Multiple Methods (마케팅 리서치에서 다중측정방법에 관한 실증적 연구)

  • 박혜정;김혜정;이영주;임숙자
    • The Research Journal of the Costume Culture
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    • v.10 no.6
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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.

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A study on the quantitative evaluation of the performance in R&D with AHP (AHP를 이용한 연구실적의 정량화 연구 - A연구소 기초연구사업을 중심으로)

  • 이석훈
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.19 no.39
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    • pp.219-227
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    • 1996
  • For the equitable and objective evaluation of the performances of R & D (Research and Development) Projects, the quantitative evaluation of research products was performed. In this research, the AHP(Analytic Hierarchy Process) technique was used to calculate the relative importance(weight) of research products such as patents, thesis, conferences and man-power with make up individual questions. With calculated relative weight of research products, the model that gives the quantitative grades of research products was studied.

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A Quantitative Assessment on a Tension of Securing Rope to evade Marine Accidents caused by Improper Cargo-Securing

  • Kim, Young-Du
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.3
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    • pp.297-302
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    • 2015
  • To prevent cargo accidents by repeated loads, a continuous monitoring for securing rope or additional safety measures are needed, but most of prevention measures have been conducted only by operator's own experience not a quantitative assessment. Hence, the Load-Displacement curve and approximation formula of securing rope were drawn in this research for a quantitative assessment and simplified measurement on a tension of securing rope using a tensiometer. Moreover, a com parison was conducted between m easuring tension and calculated tension on securing rope with portable tensiometer, 'Load-Displacement' approximation formula. The calculated tension of securing rope is obtained 153.3kfg using the formula and that result has not much difference with initial tension 150.0kgf. Lastly, an analysis of the characteristics of various ropes was suggested to enhance the reliability about quantitative assessment of securing rope's tension through further research.

What Holds the Future of Quantitative Genetics? - A Review

  • Lee, Chaeyoung
    • Asian-Australasian Journal of Animal Sciences
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    • v.15 no.2
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    • pp.303-308
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    • 2002
  • Genetic markers engendered by genome projects drew enormous interest in quantitative genetics, but knowledge on genetic architecture of complex traits is limited. Complexities in genetics will not allow us to easily clarify relationship between genotypes and phenotypes for quantitative traits. Quantitative genetics guides an important way in facing such challenges. It is our exciting task to find genes that affect complex traits. In this paper, landmark research and future prospects are discussed on genetic parameter estimation and quantitative trait locus (QTL) mapping as major subjects of interest.

Label-Free Quantitative Proteomics and N-terminal Analysis of Human Metastatic Lung Cancer Cells

  • Min, Hophil;Han, Dohyun;Kim, Yikwon;Cho, Jee Yeon;Jin, Jonghwa;Kim, Youngsoo
    • Molecules and Cells
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    • v.37 no.6
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    • pp.457-466
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    • 2014
  • Proteomic analysis is helpful in identifying cancerassociated proteins that are differentially expressed and fragmented that can be annotated as dysregulated networks and pathways during metastasis. To examine metastatic process in lung cancer, we performed a proteomics study by label-free quantitative analysis and N-terminal analysis in 2 human non-small-cell lung cancer cell lines with disparate metastatic potentials - NCI-H1703 (primary cell, stage I) and NCI-H1755 (metastatic cell, stage IV). We identified 2130 proteins, 1355 of which were common to both cell lines. In the label-free quantitative analysis, we used the NSAF normalization method, resulting in 242 differential expressed proteins. For the N-terminal proteome analysis, 325 N-terminal peptides, including 45 novel fragments, were identified in the 2 cell lines. Based on two proteomic analysis, 11 quantitatively expressed proteins and 8 N-terminal peptides were enriched for the focal adhesion pathway. Most proteins from the quantitative analysis were upregulated in metastatic cancer cells, whereas novel fragment of CRKL was detected only in primary cancer cells. This study increases our understanding of the NSCLC metastasis proteome.

Priority survey between indicators and analytic hierarchy process analysis for green chemistry technology assessment

  • Kim, Sungjune;Hong, Seokpyo;Ahn, Kilsoo;Gong, Sungyong
    • Environmental health and toxicology
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    • v.30 no.sup
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    • pp.3.1-3.11
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    • 2015
  • Objectives This study presents the indicators and proxy variables for the quantitative assessment of green chemistry technologies and evaluates the relative importance of each assessment element by consulting experts from the fields of ecology, chemistry, safety, and public health. Methods The results collected were subjected to an analytic hierarchy process to obtain the weights of the indicators and the proxy variables. Results These weights may prove useful in avoiding having to resort to qualitative means in absence of weights between indicators when integrating the results of quantitative assessment by indicator. Conclusions This study points to the limitations of current quantitative assessment techniques for green chemistry technologies and seeks to present the future direction for quantitative assessment of green chemistry technologies.

Review of Biological Network Data and Its Applications

  • Yu, Donghyeon;Kim, MinSoo;Xiao, Guanghua;Hwang, Tae Hyun
    • Genomics & Informatics
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    • v.11 no.4
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    • pp.200-210
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    • 2013
  • Studying biological networks, such as protein-protein interactions, is key to understanding complex biological activities. Various types of large-scale biological datasets have been collected and analyzed with high-throughput technologies, including DNA microarray, next-generation sequencing, and the two-hybrid screening system, for this purpose. In this review, we focus on network-based approaches that help in understanding biological systems and identifying biological functions. Accordingly, this paper covers two major topics in network biology: reconstruction of gene regulatory networks and network-based applications, including protein function prediction, disease gene prioritization, and network-based genome-wide association study.