• 웰빙융합연구
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• 제6권2호
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• pp.39-46
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• 2023

Purpose: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Research design, data and methodology: The small-scale environmental impact assessment system in Korea was introduced and implemented in August 2000, but it has a problem that it cannot guarantee implementation due to the large proportion of qualitative reduction measures for each evaluation item. Therefore, when preparing a small-scale environmental impact assessment, research was conducted on how to improve the existing simple listing-type reduction measures and qualitative evaluation standards to quantitative reduction measures and evaluation standards reflecting regional characteristics. Results: As a result of the analysis of qualitative and quantitative factors, the arithmetic sum of the qualitative factors of the total six projects is 160, accounting for 80% of the total number of reduction measures, and the quantitative factors are 40, accounting for 20%. Among them, the number of qualitative reduction measures reached 97.4% for animal and plant items, and more than 90% for air quality, noise and vibration, and eco-friendly resource circulation items. Conclusions: Therefore, it is necessary to avoid establishing qualitative reduction measures and set quantitative measures as the basis, but to specify the specifications, size, and installation location related to the reduction measures, and to calculate the numerical reduction efficiency.

• Journal of Information Processing Systems
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• 제1권1호
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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.

• 보건교육건강증진학회지
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• 제30권2호
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• pp.93-103
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• 2013

Objectives: This study was to compare two healthy cities, Liverpool in England and Wonju in Korea, which evaluated healthy city projects and to reorient evaluation strategy which fits into Korean Healthy cities. Methods: Comparatives analysis was used by reviewing documents, healthy city plan and evaluation report, of two cities. Results: Healthy city projects in two cities, fifteen programs were identical items among twenty-seven but there were differences in seven items for Liverpool and five items for Wonju. In Liverpool evaluation was done by a stakeholder group called Liverpool Local Involvement Network(LINK), while in Wonju by Yonsei Healthy City Research Center. The evaluation tool was two types; quantitative and qualitative analysis. Liverpool mostly used qualitative and added quantitative, vice versa in Wonju. Conclusions: Evaluation plan for Healthy city projects need to be made in the first phase of the projects, instead of in the end. Moreover, it is important to include stakeholder in conducting qualitative analysis for unquantifiable evidence of effectiveness, as well as quantitative analysis.

• 기술혁신학회지
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• 제20권2호
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• pp.271-291
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• 2017

본 연구에서는 정부출연연구기관 중 하나인 K 연구원 사례를 활용하여 연구개발 프로젝트에 대한 정성평가 결과와 정량평가 결과를 비교 분석함으로써 연구개발 프로젝트 성과평가 체계 개선을 위한 시사점을 도출하였다. 비교 분석을 위해 정성평가 결과는 국가과학기술연구회 규정에 따라 진행된 실제 평가결과를, 정량평가 결과는 연구개발 프로젝트의 산출물 데이터를 기반으로 자료포락분석(data envelopment analysis) 결과를 활용하였다. 비모수 상관관계 분석(Kendall's ${\tau}$)을 비롯한 다양한 분석 결과, 정성평가와 정량평가 결과 사이에는 분명한 차이점이 있는 것으로 확인되었다. 따라서 단순 정성 또는 정량평가로 연구개발 프로젝트를 평가하기보다 정성 및 정량평가가 상호보완적으로 진행된다면, 평가 시 각 연구개발 프로젝트의 특성을 반영함과 동시에 객관성도 보다 확보할 수 있을 것으로 기대된다.

• 한국문헌정보학회지
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• 제56권4호
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• pp.309-333
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• 2022

본 연구에서는 전국의 국공립 및 사립, 전문대학의 교수들 2,618명을 대상으로 교수연구업적평가와 관련하여 교수들의 인식을 파악하고자 설문조사를 수행하였다. 설문조사는 두 가지 부분에 대한 인식을 파악하기 위한 조사로 하나는 현재 각 대학에서 진행되고 있는 교수연구업적평가에 대한 인식조사이며, 다른 하나는 정량 위주의 업적평가 방식의 대안으로 여겨지는 정성적 평가 지표의 도입에 대한 인식조사이다. 설문 결과, 교수 연구업적평가에서 정량 중심 평가는 여전히 대다수의 대학에서 크게 활용되며, 계열 또는 분야에 적합하지 않은 연구업적평가가 이루어지고 있으며, 평가 기간의 확대가 필요를 요구하고, 정량 위주의 업적평가 방식은 학술 커뮤니티에 부정적인 영향을 가져오며, 연구업적평가에 대한 개선의 필요하다는 인식을 가지고 있는 것을 확인할 수 있었다. 정성적 평가 지표의 도입과 관련하여 교수들은 연구업적평가에 정성적 평가가 필요하다는 인식을 하고 있으며, 정성적 평가 도입과 관련하여 부정적인 의견 또한 존재하는 것을 확인할 수 있었다.

• 한국연초학회지
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• 제22권2호
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• pp.123-132
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• 2000

Evaluation method of soil fertility by combination of soil color characteristics and survey data from soil map as well as chemical properties was investigated on total 35 field and pot experiments. Total 35 tobacco fields including 11 fields located at Cheonweon county in Chungnam Province, 9 fields located at Goesan county in Chungbuk Province, and 15 fields located at Youngcheon county in Kyongbuk Province were selected in 1984 to cover the wide range of distribution in landscape and soil attributes. Yields of tobacco grown on the plots of both the pot and field experiment which were not applied with any fertilizer were considered as basic fertility of the soil (BFS). The BFS was estimated by 32 independent variables including 15 chemical properties, 3 color characteristics, and 14 soil survey data from soil map. Twenty-four independent variables containing 16 quantitative variables selected from 24 quantitative variables by collinearity diagnostics and 8 qualitative variables, were classified and analyzed by multiple linear regression (MLR) of REG and GLM models of SAS. Tobacco yield of field experiment showed high variations by eight times in difference between minimum and maximum yield indicating the diverse soil fertility among the experimental fields. Evaluation for the BFS by the MLR including quantitative variables was still more confidential than that by a single index and that showed more improvement of coefficient of determination ($R^2$) in pot experiment than in field experiment. Evaluation for the BFS by MLR in field experiment was still improved by adding qualitative variables as well as quantitative variables. The variability in the BFS of field experiment was explained 43.2% by quantitative variables and 67.95% by adding both the quantitative and qualitative variables compared with 21.7% by simple regression with NO$_3$-N content in soil. The regression evaluation for the best evaluation of the BFS of field experiment by MLR included NO$_3$-N content, L value, and a value of soil color as quantitative variables and available soil depth and topography as qualitative variables. Consequently, it is assumed that this approach by the MLR including both the quantitative and qualitative variables was available as an evaluation model of soil fertility for tobacco field.

• 한국연초학회지
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• 제21권1호
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• pp.36-48
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• 1999

Field test was conducted in Chungbuk province to evaluate the soil fertility using landscape and soil attributes by application of geographic information system(GIS) in 48 tobacco fields during 2 years(1996 ; 23 fields, 1997 ; 25 fields). The soil fertility factors and fertilizer effects were estimated by twenty five independent variables including 13 chemical properties and 12 GIS databases. Twenty five independent variables were classified by two groups, 15 quantitative indexes and 10 qualitative indexes and were analyzed by multiple linear regression (MLR) of SAS, REG and GLM models. The estimation model for evaluation of soil fertility and fertilizer effect was made by giving the estimate coefficient for each quantitative index and for each group of qualitative index significantly selected by MLR. Estimation for soil fertility factors and fertilizer effects by independent variables was better by MLR than single regression showing gradually improvement by adding chemical properties, quantitative indexes and qualitative indexes of GIS. Consequently, it is assumed that this approach by MLR with quantitative and qualitative indexes was available as an evaluation model of soil fertility and recommendation of optimum fertilization for tobacco field.

• 디자인학연구
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• 16호
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• pp.17-25
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• 1996

, \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents, , \l!ernatives in multi dimensional decision prohlems generally possess numerous attrihutes by which they can be describ('d and compared, The ('\';dllation factors include all attributes that have Ic\'(']s specified by quantitative and qualitativc objectil'l'S, Howev'('f since qualitative factors arc difficul! to quantify as num('ral estimates, these factors have tended to bl' ignored without regard for their importance to human contrnl. In this study, the author adapted :j ('va]uation methods with critrria which have qualitative and qualitative attributes: the Intuitive Evaluation ~1cthods the Accumulativc' Evaluation Model the Benchmarking Evaluation Methods, and studied the corrC'iation between them, The results show that Ill(' :j Mrthods have reciprocal relationships under reliability (r=O, (XX)]] In order to removl' obstacles of desi!;n ev'aluation ( lots of timl' l'llnsumption, constr;lints of placc" difficulties of hu!;!' data procc'ssin!;), it is necessary to be developed a new ('va]uation syst('rn which could prov'idc' effective rat in!; of desi!;n v'alm's 10 make value judw'rnents,alm's 10 make value judw'rnents,

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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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.

• 수산해양교육연구
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• 제29권1호
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• pp.306-314
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• 2017

The purpose of this study is to explore the possibility of qualitative evaluation and applicable models in the evaluation area of educational program. To this end, the concept and characteristics of qualitative evaluation are examined, and grounded theory is selected as a suitable methodology for evaluation, and its characteristics and procedures are described. Because qualitative evaluation focuses on the spontaneous practice elements of the site, it can supplement the quantitative evaluation of the variables set in advance. The researcher presented the theory of qualification as a methodology for qualitative evaluation, aiming to extract the theory explaining the phenomenon among the qualitative methodologies.