• The Journal of Korean Physical Therapy
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• 제14권1호
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• pp.177-186
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• 2002

The purpose of this study was to contribute to the development of clinical instruction by students ratings of teaching effectiveness in clinical education. The instrument used in this study was teaching effectiveness of clinical nursing by Yu and modified evaluation method by Kern and Mickelson. The results were are follows 1. Among the 12 categorial components of clinical teaching effectiveness, the highest satisfaction was 'encouraging to think for themselves' and the lowest was 'attitude of teacher and evaluation' 2. To compare teaching effectiveness between sex, 'resource for student' and 'professional competence' showed statistical significance. 3. To compare teaching effectiveness among clinical practice stage, 'encouraging' 'role model', 'professional competence', 'organization of subject mater' and 'attitude of teacher and evaluation' showed statistical significance. 5. Interrater ICCs for evaluation method did not showed statistical significance and interitem ICCs showed statistical significance. This article presents goal of clinical education, development of clinical instructor's educational program and a standardized method to measure clinical performance.

• Communications for Statistical Applications and Methods
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• 제12권3호
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• pp.589-601
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• 2005

Student evaluation of university teaching is a common tool for measuring the educational contribution of a professor and improving the quality of classes. There, however, exist external factors in the beyond of control of a instructor, which affect the result of Student's rating to prevent practical use of evaluation for administrative purpose. This paper investigates the factors that spoil the validity and the reliability of student evaluation and proposes a method to control the effect by the statistical analysis of evaluation data of Jeonju University for two years.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2011년도 춘계학술대회 논문집
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• pp.89-90
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• 2011

• Communications for Statistical Applications and Methods
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• 제26권1호
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• pp.1-9
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• 2019

Various probabilistic methods have been proposed for using interpopulation allele frequency differences to infer the ethnic group of a DNA specimen. The selection of the statistical method is critical because the accuracy of the statistical classification results vary. For the ancestry classification, we proposed a new ancestry evaluation method that estimate the combined ethnicity index as well as compared its performance with various classical classification methods using two real data sets. We selected 13 SNPs that are useful for the inference of ethnic origin. These single nucleotide polymorphisms (SNPs) were analyzed by restriction fragment mass polymorphism assay and followed by classification among ethnic groups. We genotyped 400 individuals from four ethnic groups (100 African-American, 100 Caucasian, 100 Korean, and 100 Mexican-American) for 13 SNPs and allele frequencies that differed among the four ethnic groups. Additionally, we applied our new method to HapMap SNP genotypes for 1,011 samples from 4 populations (African, European, East Asian, and Central-South Asian). Our proposed method yielded the highest accuracy among statistical classification methods. Our ethnic group classification system based on the analysis of ancestry informative SNP markers can provide a useful statistical tool to identify ethnic groups.

• Nuclear Engineering and Technology
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• 제30권4호
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• pp.364-376
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• 1998

The statistical analysis method was applied to the evaluation of fracture toughness in the ductile-brittle transition temperature region. Because cleavage fracture in steel is of a statistical nature, fracture toughness data or values show a similar statistical trend. Using the three-parameter Weibull distribution, a fracture toughness vs. temperature curve (K-curve) was directly generated from a set of fracture toughness data at a selected temperature. Charpy V-notch impact energy was also used to obtain the K-curve by a $K_{IC}$ -CVN (Charpy V-notch energy) correlation. Furthermore, this method was applied to evaluate the neutron irradiation embrittlement of reactor pressure vessel (RPV) steel. Most of the fracture toughness data were within the 95% confidence limits. The prediction of a transition temperature shift by statistical analysis was compared with that from the experimental data.

• 한국안전학회지
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• 제11권4호
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• pp.42-48
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• 1996

Since the fatigue phenomenon is characterized as a probability feature and test data cannot be easily collected number its small sample data are uncertain. Therefore, statistical evaluation methods should necessarily be introduced into data evaluation. With such a basic concept in mind, this study attempted to apply conventional statistical processing methods to the fatigue data and thereby present a new evaluation method in consideration of the fact that the fatigue test is usually performed within a limited number. That is a package evaluation method was adopted which co-realtes parameters between different levels of capacity in E-N or S-N level. So far fatigue limits have been found by means of stiarcase method. But it was also disclosed that this new method has its own disadvantage because limited frequencies are not duely considered.

• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2003년도 춘계학술발표회 초록집
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• pp.62-62
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• 2003

A statistical evaluation method was proposed to evaluate mechanical properties by using small specimens and nano-indentation for irradiation study. The method is empirically based on nano-indentation which values are statistically treated. The nano-indentation in function of indentation depth (h) is expressed using the variation factor V(h). Statistical parameters of the indentation are given by histograms. Analytical and experimental relation between histograms of phase dimension distribution and parameters V(h) and G(h) is considered using the condition of additivity of phases' microhardness. The method is applied to estimate mechanical properties of irradiated materials.

• 기술사
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• 제29권2호
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• pp.71-79
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• 1996

This paper evaluates the clustering performance of a neural network and a statistical method. Algorithms which are used in this paper are the GLVQ(Generalized Loaming vector Quantization) for a neural method and the k -means algorithm for a statistical clustering method. For comparison of two methods, we calculate the Rand's c statistics. As a result, the mean of c value obtained with the GLVQ is higher than that obtained with the k -means algorithm, while standard deviation of c value is lower. Experimental data sets were the Fisher's IRIS data and patterns extracted from handwritten numerals.

• 한국구조물진단유지관리공학회 논문집
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• 제25권6호
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• pp.235-244
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• 2021

본 연구에서는 한계상태설계법에 기반한 교량 평가법을 개발하기 위하여, 공용 중인 교량의 실측실험을 반영하여 적용성을 분석하였다. 예제 PSC Beam 실 교량의 부재 실험 결과로부터 부재의 시험강도를 구하였으며, 재료 시험값으로부터 추정된 통계특성을 적용하여 산정된 저항강도와 시험강도를 비교하였다. 부재의 시험강도와 재료의 변동성을 고려한 저항강도는 동등한 수준으로 계산되어 실측실험의 적합성이 검증되었다. 차량재하시험으로부터 응답보정계수와 동적충격계수를 계산하였으며, 실측실험 결과를 반영한 내하율을 적용하여 현행 교량 평가법과 한계상태설계법 기반으로 산정된 내하율을 비교하였다. 재료 시험값의 통계특성으로부터 추정된 부재 저항강도의 통계특성을 적용하여 실 교량의 신뢰도지수를 계산하였다. 설계기준 개발에 적용한 저항강도 통계특성으로 구한 신뢰도지수보다 실측실험의 통계특성을 적용하는 경우 더 큰 값의 신뢰도지수를 얻었다.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.741-747
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• 2003

There are many method to evaluate the economic value and non-economic value for information service. But we have a difficult problem to estimate the economic value of information objectively because we don't have a comparable value correspondent to the value of information service. Here, we proposed a method to evaluate for the value of information with the survey and discussed the model of the measure of non-economic value with weighted wages.