• Journal of the korean academy of Pediatric Dentistry
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• v.26 no.1
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• pp.172-184
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• 1999

The present study was performed to identify morphologic sub-groupings in Korean children with Class I malocclusions, and to find out anatomic differences between the sub-groups. Standardized lateral cephalometric radiographs of 152 Korean children, aged between 6 and 12 years, with Class I malocclusions were analyzed by the Counterpart Analysis. A statistical method, Ward's Minimum Variance Cluster Analysis, was employed to divide the sample into sub-groups those with similar morphologic characteristics. The results were as follows; 1. There appeared two facial types, Type I and Type II, in Korean children with Class I malocclusions, 48.7% and 51.3%, respectively. 2. In both sub-groups, there existed strong Class III skeletal patterns due to a counterclockwise rotation of the Middle Cranial Fossa alignment, and strong Class II skeletal patterns due to the long Posterior Maxillary vertical dimension and a clockwise rotation of the Ramus alignment. 3. There were no significant differences in Upper Anterior Facial Height between Type I and Type II, $52.6{\pm}2.92mm\;and\;52.8{\pm}3.23mm$, respectively. 4. The Lower Anterior Facial Height in Type II was longer ($66.0{\pm}4.03mm$) due to the long Posterior Maxillary vertical dimension, the clockwise rotation of the Ramus alignment, and a clockwise rotation of the Mandibular plane alignment than that of Type I ($64.2{\pm}4.15mm$).

• Journal of the Korea Fashion and Costume Design Association
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• v.15 no.2
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• pp.151-162
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• 2013

Studying employees' personality and relationship to their job would help to improve high unemployment and turnover rate in the current Korean fashion and textile industry. Based on personality which is an important influential factor, this research studied types of fashion and textile-related occupations and differences among employees' personalities related to the types. Using disclosed data from Korea Employment Information Service, 27 fashion and textile-related occupations were selected for the final analysis. Ward's Minimum Variance Cluster Analysis, MANOVA, and ANOVA by SAS 9.3 was used to analyze data. First, fashion and textile-related occupations were classified into three groups. Group 1 was mostly consisted of occupations related to manufacturing process of fashion and textile including mechanical technicians. Group 2 included occupations in garment designing and manufacturing. Designers and manufacturers including shoes, bags, and jewelry belong to group 3. Second, after observing differences in personalities among the three groups, group 1 answered that most of the personalities were not important for performance of their duties, group 2 said that only some of them were important, and group 3 regarded most of them as important. Specifically, group 1 considered precision as the most important personality but rest of the personalities not as necessary. It was revealed that personalities in relationship with other personnel such as sociality and leadership were not important. The results in this study will be used for analyzing whether job seekers' desired occupations in fashion field corresponds to their personalities and is expected to become a basic data of students' career counseling for educators.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.3
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• pp.37-48
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• 1986

The purpose of this study was to analyze 'the natural groupings' of subjects in order to classify highly similar somatotype for clothing construction. The sample for the study was drawn randomly out of senior high school boys in Seoul urban area. The sample size was 425 boys between age 16 and 18. Cluster analysis was more concerned with finding the hierarchical structure of subjects by three dimensional distance of stature. bust girth and sleeve length. The groups forming a partition can be subdivided into 5 and 6 sets by the hierarchical tree of the given subjects. Ward's Minimum Variance Method was applied after extraction of distance matrix by the Standardized Euclidean Distance. All of the above data was analyzed by the computer installed at Korea Advanced Institute of Science and Technology. The major findings, take for instance, of 16 age group can be summarized as follows. The results of cluster analysis of this study: 1. Cluster 1 (32 persons means $18.29\%$ of the total) is characterized with smaller bust girth than that of cluster 5, but stature and sleeve length of the cluster 1 are the largest group. 2. Cluster 2 (18 Persons means $10.29\%$ of the total) is characterized with the group of the smallest stature and sleeve length, but bust girth larger than that of cluster 3. 3. Cluster 3(35persons means $20\%$ of the total) is classified with the smallest group of all the stature, bust girth and sleeve length. 4. Cluster 4(60 persons means $34.29\%$ of the total) is grouped with the same value of sleeve length with the mean value of 16 age group, but the stature and bust girth is smaller than the mean value of this age group. 5. Cluster 5(30 persons means $17.14\%$ of the total) is characterized with smaller stature than that of cluster 1, and with larger bust girth than that of cluster 1, but with the same value of the sleeve length with the mean value of the 16 age group.

• Journal of the korean academy of Pediatric Dentistry
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• v.26 no.1
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• pp.185-199
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• 1999

The purpose of the present study was to investigate craniofacial patterns in Korean male and female adults, and to compare morphologic differences between different facial types. In order to get configurational groupings, standardized lateral and P-A cephalograms of 174 Korean adults were measured and analyzed with seven angular, nineteen linear, four ratio, and two index measurements. Ward's minimum variance cluster analysis was employed to divide the sample into groups having similar craniofacial morphology, and thereafter, inductive statistics(t-test) was used to characterize morphologic differences of the divided groups. And also, Pearson correlation coefficients were calculated to assess correlation between the cranial dimensions and upper/lower anterior facial height(UAFH, LAFH) in each facial types for both male and female The results were as follows; 1. There existed sexual dimorphism in most of variables except SN-FH angle, palatal plane angle, facial axis angle, facial index, lower anterior facial height ratio and upper facial height ratio. 2. A brachycephalic headform ($0.84{\pm}0.05$) with leptoprosopic facial form ($0.92{\pm}0.05$) was appeared in male, and a mesocephalic headform ($0.86{\pm}0.06$) with leptoprosopic facial form ($0.92{\pm}0.04$) was exhibited in female. 3. Facial types in both male and female subjects were divided into two groups, Group A (mesoprosopic facial type) and Group B (leptoprosopic facial type). The morphologic differences between Group A and Group B were as follows: a. Cranial measurements including index, angular and linear measurements were not found to be different between Group A and Group B in both sexes. b. Increased UAFH, LAFH, and upper/lower anterior dental heights were exhibited in Group Bs of both male and female. c. In both male and female, ramus height and mandible length showed no difference between Group A and Group B. However, genial angle was found to be larger in Group B than Group A. Therefore, the morphologic differences between two groups in male and female were closely related to less favorable anatomic morphology of the mandible. 4. LAFH and UAFH showed no relationships with cranial dimensions in male and female.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.5
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• pp.891-903
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• 2017

In recent days, school violence has been rising as a significant social problem. The occurrence of school violence can be fueled by a wide range of social and environmental contexts, thus it is very difficult to come up with the ultimate solution. Community CPTED program is one of the more comprehensive set of efforts that has been developed to prevent crime in general, and the primary focus of the study is to investigate suitable components of CPTED to prevent school violence based on the physical conditions of communities as well as the perception of residents outside of school grounds, in the vicinity of schools. Three sets of analyses in series were employed in the research. First, Ward's minimum-variance cluster analysis was used to classify the places where school violence can occur outside of school grounds based on the physical conditions recognized by local residents. Next, Importance-Performance Analysis was performed to analyze the perception of local residents about the importance and the effectiveness of CPTED components in preventing school violence. Subsequently, Ordered Logit Model was used to analyze the local residents' awareness on safety regarding school violence in their community space. Combining the results of the analyses, the priority of the community CPTED applications to prevent school violence outside of school was derived. Reflecting the local residents' perception on safety of students in their community, the sense of security in communities against school violence can be reinforced by the communities' sensible efforts in creating safer environment for their students.