• 한국발생생물학회지:발생과생식
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• 제17권4호
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• pp.363-367
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• 2013

PCR analysis generated on the genetic data showed that the geographic hairtail (Trichiurus lepturus) population from Korea in the Yellow Sea was more or less separated from geographic hairtail population from China in the South Sea. The average bandsharing value ($mean{\pm}SD$) within hairtail population from Korea showed $0.859{\pm}0.031$, whereas $0.752{\pm}0.039$ within population from China. Also, bandsharing values between two hairtail populations ranged from 0.470 to 0.611, with an average of $0.542{\pm}0.059$. As compared separately, the bandsharing values of individuals within hairtail population from Korea were comparatively higher than those of individuals within population from China. The hierarchical dendrogram resulted from reliable oligonucleotides primers, indicating two genetic clusters composed of cluster 1 (KOREANHAIR1~KOREANHAIR11) and cluster 2 (CHINESEHAI12~CHINESEHAI22). The genetic distances between two geographic populations ranged from 0.038 to 0.476. Individual No. 11 within hairtail population from Korea was genetically closely related with No. 10 (genetic distance=0.038). The longest genetic distance (0.476) displaying significant molecular difference was also between individual No. 01 within hairtail population from Korea and No. 22 from Chinese. In the present study, PCR analysis has revealed significant genetic distances between two hairtail population pairs (P<0.05).

• International Journal of Industrial Entomology and Biomaterials
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• 제14권1호
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• pp.23-32
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• 2007

The nature of genetic variation and diversity among the 65 multivoltine silkworm genotypes was evaluated for 16 post cocoon characters. The components of genetic variation revealed higher PCV (60.487%) and GCV (44.56%) for evenness (variation 1) followed by cohesion (PCV=55.38%, GCV=40.36%) and non-broken filament length (PCV=32.05%, GCV=31.28%). The higher heritability ($h^2$ in broad sense) was observed for boil-off loss (95.6%) followed by non-broken filament length (95.22%). The both genotypic and phenotypic correlation indicated significant positive correlation of filament length with non-broken filament length, silk recovery, raw silk, neatness, and low neatness; and negative correlation with denier, renditta and silk waste. The principal component analysis (PCA) revealed 75.381 % of total variance from the five principal components extracted. On the basis of Mahalonobis' $D^2$ values (Ward's minimum variance), the sixty-five multivoltine silkworm genotypes were classified in to 9 clusters with substantial inter and intra cluster distances. Number of genotypes included in different clusters varied from 3 to 17. The results indicated that the optimum distance obtained in cluster VII (15.059) along with higher cluster mean values especially for filament length, non broken filament length, renditta, silk recovery, silk waste, and raw silk emphasized the utilization of these genotypes in the conventional silkworm breeding programme for improvement of multivoltine silk fibre quality. The possibility of exploiting genetic variation in post cocoon traits for efficient breeding programme is discussed.

• 대한교통학회지
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• 제31권4호
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• pp.47-57
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• 2013

본 연구는 지역간 형평성을 분석하기 위하여 교통인프라지표와 통행행태를 통합적으로 고려하였다. 교통인프라지표로는 도로시설, 대중교통시설, 지역특수지수를 이용하였다. 통행행태는 1일자의 버스교통카드데이터를 이용하였다. 공간군집 분석과 전역적 국지적 분석을 통해 얻은 결과 분석단위를 읍 면 동으로 하였을 때 해당지역과 주변지역의 인프라수준이 높은지역(High-High)에서 모두 낮은지역(Low-Low)등 4개의 수준으로 구분되었다. HH type의 지역에서는 버스이용자, 통행, 환승 수가 높고, LL Type의 지역은 내부통행수, 통행시간, 통행거리, 통행속도, 요금항목이 높게 나타났다. 전역적 회귀분석에 의해 교통인프라 수준을 통행행태 변수로 회귀한 결과, 버스이용자수(bus users), 평균환승수(mean_trans), 평균내부통행수(mean_inside), 평균통행속도(mean_speed), 총 4개의 통행특성 변수가 유의하게 추출되었다. 이들 변수를 적용하여 국지적 회귀분석(GWR)을 수행한 결과 전역적 회귀분석에 비해 AIC와 ANOVA 결과 모두 모형의 결과를 유의하게 향상시켜, 경기도 내 통행행태 특성이 교통인프라 수준을 설명하는 데 있어 지역 간 차이가 많이 존재하는 것을 다시 한 번 확인시켜주었다.

• 대한가정학회지
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• 제44권5호
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• pp.99-107
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• 2006

The purposes of this study are to identify the types of teacher efficacy, to present a theoretical base for teacher efficacy among Home Economics teachers and subsequently, to improve the quality in the practices of home economics education. To achieve these purposes, 263 secondary school home economics teachers were surveyed by the prime investigator. The three research questions of this study were: 1. What are the individual characteristics, the environmental characteristics and the trends of teacher efficacy among secondary school home economics teachers? 2. What is the factor in teacher efficacy among secondary school home economics teachers? 3. What are the types of teacher efficacy among secondary school home economics teachers? For these research questions, factor analysis and cluster analysis were conducted. The factor analysis on teacher efficacy with a survey of secondary school home economics teachers produced 5 factors of efficacy: classroom management, needs assistance, instructional strategies, environmental assistance and teaming assistance. The teacher efficacy had a mean of 3.58 and the home economics teachers showed a slightly higher level in teacher efficacy. Of the 5 efficacy factors, classroom management showed the highest level (M=3.89), followed by learning assistance (M=3.81), instrumental strategies (M=3.57), environmental assistance (M=3.42) and needs assistance (M=3.19). Overall, the teachers had positive feeling in teacher efficacy. Three types of teachers were found in the types of teacher efficacy: the supreme, the average and the efforts-needy. Those types were identified based on the mean scores of the five sub-domains from the factor analysis. To enhance the teacher efficacy, the needs assessments for the students and behavioral adjustment issues should be reflected in the curriculum of teacher education and workshops. The primary investigator suggested that continuous and long-term plans for teacher education need to be developed because short-term plans may not be effective in changing attitudes such as teacher efficacy.

• 간호행정학회지
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• 제9권3호
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• pp.415-427
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• 2003

Purpose: The purpose of this study was to investigate the degree and pattern of knowledge management process, and to identify the relationship between knowledge management process and organizational effectiveness in clinical nurses. Method: Participants were 665 regular clinical nurses who had worked for over 1 year in general units of 9 tertiary medical hospitals including 2 national university hospitals, 5 university hospitals, and 2 hospitals founded by business enterprises. Data were collected from March to May 2003 through questionnaires. Four structured instruments were used to collect the data: Knowledge Management Process Scale(Jeong, Lee, Lee, & Kim, 2003), cCommitment Questionnaire(Mowday, Steers, & Porter, 1979), General Satisfaction Scale(CooK, Hepworth, Wall, & Warr, 1981), and one for general characteristics. The data were analyzed using factor analysis, reliability analysis, descriptive analysis, cluster analysis, one-way ANOVA, Scheffe test, correlation analysis with the SPSS for Windows 10.0 program. Result: 1) The average score for knowledge management process in nurses was $3.08{\pm}.54$ on a 5-point Likert scale. In order from highest mean score, the elements of knowledge management process, were Knowledge $Utilization(3.35{\pm}.57)$, Knowledge $Sharing(3.07{\pm}.58)$, Knowledge $Creation(2.99{\pm}.63)$, and Knowledge $Storage(2.91{\pm}.82)$. 2) Four knowledge management patterns for nurses, which were derived from cluster analysis, were inactivate pattern, delayed pattern, activate pattern, and high-activate pattern of knowledge management. 3) The degree of knowledge management process activation and 4 elements of knowledge management process, Knowledge Creation, Knowledge Storage, Knowledge Sharing, and Knowledge Utilization, were significantly correlated with nurses' organizational commitment and job satisfaction(p=.000). 4) The nurses' organizational commitment and job satisfaction showed significant differences according to the knowledge management patterns derived from cluster analysis of high-activate pattern, activate pattern, delayed pattern, inactivate pattern(p=.000). Conclusion: These results suggest that there are four knowledge management patterns for nurses, and knowledge management process positively affects the nurses' organizational commitment and job satisfaction. From the above findings, knowledge management process is empirically verified as a useful and effective method to increase organizational effectiveness, and develop the organization.

• 한국조리학회지
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• 제18권4호
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• pp.47-58
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• 2012

본 연구는 부산지역 K대학교 학생들을 대상으로 식생활 라이프스타일유형에 따른 군집을 도출하고 각 집단과 외식선택속성과 비만도와의 차이를 고찰하고자 연구를 진행하였다. 연구의 목적을 달성하기 위하여 통계프로그램 PASW Statistic 18.0(Predictive Analytics Software)을 이용하여 빈도분석, 요인분석 및 신뢰도분석, t-test, ${\chi}^2$-test, 비 계층적 군집분석과 ANOVA을 실시하였다. 남자 대학생들의 평균키는 175.59 cm, 체중은 69.53kg이고, 여자 대학생들의 평균키는 162.81 cm, 체중은 53.42kg으로 나타내었다. 남학생 체질량지수를 저체중이 1.7%, 정상체중은 64.6%, 과체중 19.7%이고, 비만은 14.0%로 나타났다. 여학생 체질량지수는 저체중이 22.9%. 정상체중은 62.7%, 과체중이 8.5%, 비만은 5.9%를 나타내었다. 식생활라이프스타일 항목은 건강추구, 안전성추구, 분위기추구, 미각추구, 서양음식추구요인으로 추출되었고, 외식선택속성은 음식의 질과 서비스, 합리적인가격, 접근성과 분위기, 먹어본 경험 요인으로 추출되었다. 식생활라이프스타일은 군집1은 [식생활 무관심형 집단] 군집2는 [건강지향형 집단] 군집3은 [건강무관심형 집단]으로 군집 명을 부여하였다. 식생활라이프스타일 군집과 외식선택속성 요인간의 차이분석에서 군집1은 먹어본 경험에서 높은 평균값을 나타내었고, 군집2는 음식과 서비스의 질에서 높은 평균값을 나타내었고, 군집3은 접근선과 이미지에서 높은 평균값을 나타내었다.

• 패션비즈니스
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• 제18권4호
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• pp.97-113
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• 2014

This study investigates consumer's traits of market segmentation based on the apparel benefits. The subjects were 302 college students living in Yunnam, China. The mean, ANOVA, factor analysis, Duncan test, and K-means cluster analysis were used for statisticals analysis. The results of this study are as follows. The college students were classified, into six subdivisions, according to the apparel benefits by cluster analysis: indifference group, utility pursuit group, hedonic/brand pursuit group, individuality pursuit group, social recognition/fashion pursuit group, and pursuit benefits-minded group. In the factors of happiness-pursuing and life-centered of materialism, significant differences were found according to the groups of apparel benefits, and all factors of symbolic consumption and brand loyalty were found to have significant differences according to the groups of apparel benefits. The evaluation criteria of clothing were significantly different, depending on apparel benefits subdivision in criteria of aesthetic, socio-psychological, and utility. The use of information was shown to have significant differences, according to the groups of apparel benefits. The study results are highly expected to be utilized as useful sources in marketing plans for the midwest of China.

• 한국의류산업학회지
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• 제8권1호
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• pp.107-112
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• 2006

This study is done to classify the upper body shapes for late elementary schoolgirls. The sampling was done for 11~12 years-old-girls resident in Busan and Kyungnam. Based on the somatometric charateristics of them, 33 anthropometic and 7 photogrphic measurment data were acquired from every girl. These data are statistically analyzed with the following methods; Factor Analysis, Cluster Analysis, and Discriminant Analysis. Resulting from the factor analysis, it is shown that 79.95% of the whole variances can be explained with 8 factors. Through the cluster analysis, 3 types of upper body shapes can be categorized as follows: Type I has average horizontal size, big vertical size and lots of protruded chest ; Type III has big horizontal size, the mean vertical size, and big upper angle of the back ; Type II has small horizontal and vertical size and long surface length of the upper body. Through the discriminant analysis, the high discriminative items in discriminant function are follows: Upper chest circumference, arm length and waist front length of discriminant function I and waist depth, front length, back breadth, nipple to nipple breadth and upper chest circumference of discriminant function II have large coefficient values.

• 복식문화연구
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• 제13권1호
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• pp.161-173
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• 2005

The Main objective of this study was to investigate the relationship between shopping orientations and Knit wear Buying Behavior of female college students in the U.S. age 18 to 33. The questionnaires for this survey were developed to measure knitwear purchasing behavior, including sources of information about knitwear, evaluative criteria of knit wear product, attributes f store preference for knitwear, and shopping orientation. The questionnaire was administered to 119 female college students in the University of California. The data was analyzed by percentage, frequency, mean, factor analysis, Cluster Analysis and ANOVA, Duncan Multiple Range test. The female college students were classified into five subdivisions by cluster analysis; cautious shopping group, recreational shopping group, self-confident shopping group, shopping indifferent group, price conscious shopping group. In the case of fashion information sources of knit wear, significant differences were found according to shopping orientation subdivision in observation of others' and famous people's clothing, fashion shows, fashion articles in magazines, newspapers, and on the Internet, and shop displays. The evaluation criteria of knit wear product were significantly different depending on shopping orientation subdivision in fashionable, brand and store name, appropriate for different occasion, prestige. The store attributes of knitwear were significantly different depending on shopping orientation subdivision in product knowledge of sales personnel, store atmosphere, display of merchandise, layaway payment plan, price level, ease of parking and access, and new fashion.

• 한국의류산업학회지
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• 제1권2호
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• pp.137-147
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• 1999

The purpose of this study was to classify female students' somatotypes, to investigate the relationship between five somatotypes obtained from anthropometric measurements and to examine the relationship between the spinal deformity and somatotypes. The subjects for anthropometric measurements were 844 female middle and high school students. The data were analyzed by cluster analysis, correspondence analysis, Duncan test, and T-test. The results were as follows. Cluster analysis on the factors extracted from directly measured items classified subjects into five types (middle height and a little slim type (39.6%), low height and a little slim type (13.1%), middle height and a little fat type (18.0%), tall and very fat type (7.7%), and very tall and standard type (21.6%). In examining the relationship between the normal people and those of the spinal deformity, the normal showed higher mean value in almost all the items of the girth, the depth, and the length. High school students had more spinal deformity in number than middle school students. The degree of deformity was higher in the right spinal deformity than in the left spinal deformity as the age increased. In terms of the distribution of the spinal deformity classified by the somatotype, Type 1 (middle height and a little slim type) and Type 5 (very tall and standard type) appeared the highest.