• 영어어문교육
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• 제11권3호
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• pp.1-23
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• 2005

This paper is a qualitative and quantitative study. The main purpose of the paper is to diagnose what makes English communication difficult at the Korean EFL adult level. In order to obtain data, this study employed interviews and a questionnaire. We identified thirty three factors blocking pathways to oral communication. Qualitative analysis repeatedly revealed patterns such as lack of grammar, lack of vocabulary, lack of background knowledge, and peer pressure, but quantitative analysis yielded somewhat different results: lack of colloquial expressions, lack of vocabulary, lack of various topics, problems in the educational system, difficulty in using existing knowledge, and lack of grammar. Findings which were common to both qualitative and quantitative analyses suggest that lack of linguistic knowledge and lack of background knowledge are major barriers learners encounter in communication. On the basis of the results, suggestions are made for overcoming these barriers.

• 한국디지털건축인테리어학회논문집
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• 제12권2호
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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.

• 한국소프트웨어감정평가학회 논문지
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• 제15권1호
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• pp.25-35
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• 2019

우리나라에서 컴퓨터프로그램의 실질적 유사성 여부 판단은 정량적인 유사도를 산출하여 그 결과를 활용하는 방식이 일반적으로 이용된다. 실질적 유사성은 유사한 부분의 양과 질을 고려하여 판단되어야 하는데, 실무에서는 정량적인 유사도 계산 과정에서 가중치를 곱함으로써 유사한 부분의 질을 고려하는 모습을 보인다. 그런데 실질적 유사성 판단과 관련하여 유사한 부분의 양적, 질적인 고려는 동일한 지위에서 순차적으로 이루어져야 한다는 본질적 특징을 고려할 때, 현재와 같은 실무 방식은 적절하다고 할 수 없다. 이에 이와 같은 가중치 활용의 문제를 지적하고, 실질적 유사성 판단을 위한 유사 부분의 질적 평가는 정량적 유사도 판단에 후행하여 그와 동일한 지위에서 이루어져야 함을 제시 및 이를 위한 적절한 실무적 방안을 제언하였다.

• 패션비즈니스
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• 제6권2호
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• pp.67-76
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• 2002

This research examines the characteristic trends through analysis on cue in the contemporary fashion distinctly and systematically. It is carried out by both qualitative analysis and quantitative analysis. In the qualitative analysis, the four important street fashions of neo-mods/jazz, neo-hippie/grunge, sportivecasual and technos/cyber-punk are grouped. In the quantitative analysis, statistical data are sampled from Collection II of the 1990s S/S. It takes frequency, percentage, $\chi^2$-test and etc. by using the comprehensive tools for statistical treatment. There were significant differences between the S/S fashion. According to the cues, there are also significant differences between the fashion in the 1990s. In 'Neo-Mos/Jazz' style shows highly androgynous look, deep and strong tone, green/blue colors, natural fabric, stripe pattern, long hair style, and hided make-up. 'Neo-hippie/gnenge' style shows highly folklore look, vivid tone purple colors, seethrough/knit fabric, natural /traditional pattern, decorative hair special makeup. 'Sportive casuals' style shows highly sportive look, greish tone, white/grey colours, natural fabric, solid patten, bobbed hair, and natural make-up. 'Techno/cyber punk style shows highly comocorps look, pale tone black colors avangard fabric, solid patten, punk/dyed hair special make-up.

• 한국과학교육학회지
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• 제25권4호
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• pp.526-532
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• 2005

본 연구는 '힘과 운동'에 관한 정량적, 정성적 문제에 따른 문제해결과정을 분석하여 어떤 차이가 있는지를 알아보고자 실시되었다. 본 연구의 대상은 여자고등학교 1학년 학생 8명이었다. 이들은 문제해결에 필요한 내용지식을 보유하고 있는 학생들이었다. 선행 지식검사와 정량적 문제 3개와 정성적 문제 3개로 구성된 본검사를 사용하였다. 연구결과, 정량적 문제에서는 계획단계의 시간비율이 정성적 문제에 비해 더 높고 총 소요시간도 길게 나타났으며, 해결단계의 반복횟수도 더 많았다. 정량적 문제에서 해결에 성공하는 정도는 정성적 문제에서 별 차이가 없었고, 전략사용에도 차이가 없었다. 학생들은 평소 물리학습에서 정량적 문제를 많이 접하므로 수식과 공식을 사용하여 문제 푸는 일에 익숙해 있고, 수식과 공식에 의한 결과를 더 신뢰해서 정성적 문제를 정량적으로 해결하려는 경향이 있었으며, 정성적 문제 보다 정량적 문제를 더 선호하였다.

• 한국과학교육학회지
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• 제21권2호
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• pp.255-263
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• 2001

중학교 '전기와 자기' 에 대한 개방적 탐구 과제는 관찰을 통한 서술적인 결과 처리가 특징인 정성적 과제와, 변인통제를 통한 정량적 결과 처리가 특징인 정량적 과제로 나눌 수 있다. 본 연구의 목적은 두 종류의 과제에 대한 중학교 2학년 학생들의 탐구 수행 특징을 탐구 과정을 중심으로 분석하는 것이다. 학생이 작성한 '탐구 보고서' 및 '탐구 활동 평가서' 그리고 연구자의 관찰 및 면담 자료를 분석하였다. 정성적인 과제에 대한 탐구에서는 자신의 생각과 다른 뜻밖의 관찰을 인지하고 처리하는 것이 어려운 점이었고, 정량적인 과제에 대한 탐구에서는 여러 개의 변인을 다루고, 신뢰롭고 타당한 측정을 하며, 정량적으로 결과를 처리하는 것이 어려운 점이었다. 정성적인 과제에 대한 탐구에서는 자신이 제시한 탐구 방법 및 결과의 부족한 점을 인지하고 있었는데 반해, 정량적인 과제에 대한 탐구에서는 부족한 점을 거의 인지하지 못했다. 이러한 결과는 기존의 실험실습과는 다른 개방적인 탐구를 지도할 때, 정성적인 과제의 경우 뜻밖의 관찰 결과를 신뢰롭고 타당하게 처리하도록 지도하는 것이 중요하며, 정량적인 과제의 경우 여러 개의 변인을 다루는 방법 및 신뢰롭고 타당한 측정 방법을 지도하는 것이 중요하다는 것을 시사한다.

• Journal of Animal Science and Technology
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• 제62권1호
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• pp.58-63
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• 2020

The pre-treatment condition affects on the element analysis of inductively coupled plasma (ICP). In this study the pre-treatment condition of ICP has been studied to quantify elements in dog's hair. The hair samples were collected from twelve female Beagles by clipping them into 1 or 2 cm at the back neck. The qualitative and quantitative analysis of elements in hairs were performed by using ICP. By ICP nine elements were qualitatively detected and quantitatively analyzed (Ca, Cu, Fe, K, Mg, Na, P, Se, Zn). The measured amounts of elements were compared between 3 step and 2 step procedures which were with and without the acetone based washing step. The quantitative analysis showed that the concentrations of K, Na, P, and Se were significantly decreased in hair samples with acetone-based washing (p < 0.005 or 0.001) unlike those without the acetone-based washing. It implied that some minerals are lost by the acetone based washing during the sample preparation step. Therefore, the acetone based washing process is not suitable for quantifying elements in dog's hair. In addition, the results of qualitative and quantitative analysis were compared. Although there was a difference in absolute values of elemental contents in hair, the results of qualitative and quantitative analysis were significantly correlated each other. This finding suggested that the results of qualitative analysis can be used to monitor elemental contents in dog's hair.

• Journal of Korean Biological Nursing Science
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• 제23권1호
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• pp.72-82
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• 2021

Purpose: This study used a mixed methods research design in an attempt to verify the effects of robot-assisted rehabilitation on the gait ability of stroke patients with hemiplegia, and thereby further understand the benefits and challenges of stroke patients' experiences relying on robot-assisted rehabilitation. Methods: An exploratory sequential mixed methods study design was used in order to combine both quantitative and qualitative data. For the quantitative data collection, a total of 30 stroke patients with hemiplegia were recruited from one rehabilitation hospital. Qualitative data were collected through individual interviews using semi-structured questionnaires for a group of 15 patients who were currently undergoing robot-assisted rehabilitation. The data were analyzed through qualitative content analysis. Results: As a result of the quantitative analysis, there were significant differences between the two groups in terms of daily living activity patterns, total number of steps, and average walking speed. As a result of the qualitative analysis, the four main themes derived consisted of, 'curiosity about the usage of robot-assisted rehabilitation,' 'pleasure experienced while using the robots,' 'insufficient information about robots,' and 'a lack of education about robot-assisted rehabilitation.' Conclusions: Robot-assisted rehabilitation had a significant effect on the walking ability of stroke patients with hemiplegia. Additionally, stroke patients with hemiplegia experienced difficulty during the course of their robot-assisted rehabilitation, due to a lack of sufficient information on correct usage techniques. These quantitative and qualitative findings could provide the basic foundation for the development of an educational program on robot-assisted rehabilitation.

• 한국운동역학회지
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• 제20권4호
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• pp.421-427
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• 2010

The purpose of this study was to investigate the relationship between the quantitative analysis of biomechanical movement and the qualitative analysis of video software in order to evaluate for the walking movement. The fourteen collegiate students who agreed with the purpose and method of this study participated as subjects. The slow walking and fast walking of the subjects in the place of experiment were photographed, and calculated several mechanical factors. This empirical evidence from the experiment indicated the significant difference(p<.001) between each distant factors of the walking movement for both analyses methods, but there was no statistically significant difference between the spacial factors observed in the experiment. For more detail, no significant difference between the walking ratios that expressed the coordination between stride length and stride frequency was found. The findings also indicated the high coefficient of correlation(over r=.9) which supports higher explanation force for the biomechanical method and the Dartfish video software method. Therefore, if the data was gathered by using the proper experimental method, the video software method could be used just like the quantitative data of biomechanical method.

• 한국품질경영학회:학술대회논문집
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• 한국품질경영학회 2010년도 춘계학술대회
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• pp.402-408
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• 2010

Forecasting have qualitative and quantitative methods. Quantitative one analyze macro-economic factors such as the rate of exchange, oil price, interest rate and also predict the micro-economic factors such as sales and demands. Applying various statistical methods depends on the type of data. when data has seasonality and trend, Time Series analysis is proper but when it has casual relation, Regression analysis is good for this. Time Series and Regression can be used together. This study investigate artificial neural networks which is predictive technique for casual relation and try to compare the accuracy of forecasting between regression analysis and artificial neural network.