• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.16 no.1
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• pp.50-63
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• 2017

While transit is inconvenient, it is also inevitable for the efficient public transportation. Reducing the number of transfers as much as possible is most important in providing the convenience of public transportation and facilitating the public transportation. As for the public transportation card data, 61,986 items on weekdays and 69,100 items on weekends were collected. Pattern analysis and traffic influence factors were analyzed using traffic data card. Trip chain results revealed that people have more transit transfers for shopping and leasure than commuting purposes on weekends and that commuting distance and time increase by 10 km and 9.9 minutes, respectively. Besides, results of the structural equation model showed that factor 1(total travel time, total travel distance), factor 2(number of people getting on and off), factor 3(transit time), and factor 4(number of bus connections, number of operations) were found to have significant effects on the number of transfers.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.49-61
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• 2022

This study aims to provide upper body shape information by analyzing the measurement data of middle-aged women aged 50-69, including baby boomers, whose economic power and activity have improved compared to the previous generations. In order to provide accurate upper body shape information by analyzing the body type using the 8th Size Korea measurement data, body shapes were classified through factor and cluster analysis using 75 direct measurement items. Upper body type was classified according to the factors, and the associated characteristics were analyzed. As a result of the comparative analysis of the upper body measurements from the 4th to the 8th Size Korea measurement, it was found that in the height item, both the waist height and the hip height increased, making the overall height greater and the leg length longer. The body circumference items tended to increase, but were found to decrease significantly in the 8th Size Korea (2021) measurement. Middle-aged women were classified using five factors. Factor 1 was the upper body obesity factor, and Factor 2 was the trunk vertical factor. Factor 3 was the width of the back shoulder, Factor 4 was the vertical factor behind the back, and Factor 5 was the length factor of the front garment composition. Middle-aged women were classified into four body types through cluster analysis. Type 1 is relatively small and skinny, Type 2 has the most obese upper body and developed back shoulders, and Type 3 is skinny and has a long back and short front. In Type 4, the upper body was relatively long and the shoulders were narrow.

• Journal of environmental and Sanitary engineering
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• v.14 no.2
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• pp.56-67
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• 1999

This study was performed to suggest the basic data and plans for the establishment of safe water supply plans in simple water supply piped system in the rural areas. In 4 different places, 24 points of water sources 36 points of taps from water sources were sampled. Of the whole 60 points, 55 points were ground water and 5 points were surface water. 14 items were measured for the analysis of water quality on each samples. The measured items were analyzed again by statistical method ; cluster analysis and principle components analysis. The results of this study are as followed. 1) In water quality analysis on water sources, 4 items, bacteria, E.coli, NH3-N and Fe exceed the standard. Of 24 points, 20 points(83%) on bacteria, 1 point(4%) on NH3-N and Fe exceed the standard. 2) In water quality analysis on near and remote taps, 4 items, bacteria, E.coli, NH3-N and Fe , exceed the standard. Of 36 points, 20 points (81%) on bactria, 1 pint(3%) on NH3-N and Fe exceed the standard. 3)Cluster analysis on water quality shows the differences by the kinds of water sources, geographical characteristics and distance from water sources. 4) Principle components analysis on ground water shows that Factor 1 and Factor 3 are natural fluctuation by the content of soil. Also, Factor 2 and Factor 4 are penetration of pollutants to underground. Therefore, it is needed to take deeper ground water in order to prevent from pollution in the areas which have ground water as water source . 5) Principle components analysis on surface water shows that Factor 1 is penetration of vacteria from surface to water source when rainfalls. Also, Factor 2 is fluctuation of water quality by the geographical characteristics. Therefore, the counterplans against non-point pollution source must be taken. Filtration and disinfection facilities are needed in the areas which have surface water as water source.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• The Mathematical Education
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• v.56 no.4
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• pp.407-434
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• 2017

The purpose of this study is to develop and verify the TPACK measurement tool for middle and high school mathematics teachers in the Korean context. Also, by clarifying the relationship between subordinate factors of Mathematics teachers' TPACK, an attempt was made to provide suggestions on the designs and directions for the in-service and pre-service teacher education and the programs for improving mathematics teachers' TPACK in the future. In order to achieve this goal, TPACK factors of mathematics teachers were extracted by reviewing literature on PCK, MKT, and TPACK. Then, content validity, basic statistical survey, reliability verification, exploratory factor analysis, confirmatory factor analysis, and structural equation model verification were conducted sequentially. At first, preliminary analysis was carried out on 79 mathematics teachers, and 76 items excluding the items with extreme value and reliability were included in the basic statistical analysis. And secondly, an exploratory factor analysis was conducted on 376 mathematics teachers, and this instrument consisted of 7 subordinate factors(CK, PK, TK, PCK, TCK, TPK, TPACK) and 61 items. Also by conducting confirmatory factor analysis and structural equation model test with 254 mathematics teachers, the measurement tool was confirmed the validity and reliability through statistically significant analysis. Then, the importance of integrated knowledge was confirmed by looking at the relationship between the TPACK factors of in-service mathematics teachers. The integrated knowledge(PCK, TCK, TPK) has played a crucial role in the formation of TPACK rather than the knowledge of CK, PK, and TK alone. Finally, the validity of TCK was confirmed through the structural equation modeling of TPACK. TCK not only directly affected TPACK, but also indirectly through TPK. According to these affirmative results, this measurement tool is claimed to be suitable for measuring the factors of Mathematics teachers' TPACK, and also the structural equation model can be regarded as a suitable model for analyzing the structural relationship of mathematics teachers' TPACK.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.95-108
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• 2018

This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.11
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• pp.1527-1530
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• 2002

Factor analysis was applied to the phenotypic correlation matrix of 15 linear type traits (scored linearly 1 to 50 points) for 2035 Holstein cows of 38 sires computed from data collected between 1988 and 1992 in Beijing Shuangqiao Farm and Beijing Xijiao Farm. The 15 linear type traits were stature, body strength, body depth, dairy form, rump angle, rump length, rump width, rear leg side view, foot angle, fore udder attachment, rear udder height, rear udder width, udder cleft, udder depth and teat placement rear view. The first four components accounted for 49.1% of the total variance in type scores. Factor 1 reflected strong cows, with deep bodies, with long and wide rumps, and tall in stature. Factor 2 reflected cows with well attached fore udders, wide rear udders and whose udders were supported by strong suspensory ligaments with close teat placement. Factor 3 reflected cows with good dairyness, sickled in the hocks, high rear udders and udder floors above the hocks. Factor 4 reflected cows with sloping rumps from hooks to pins and with steep foot angle. Principal component and factor analyses are useful to clarify the relationships among type traits.

• Korean Journal of Human Ecology
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• v.14 no.6
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• pp.1027-1035
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• 2005

The purpose of this study was to investigate the factor of feminization in men's fashion according to Sex Role Stereotype of 20's$\sim$30's mens. The investigators surveyed 260 men who aged twenties and thirties in pusan. For data analysis, we used Chi-Square Test, Factor Analysis, Reliability Analysis, T-test and ANOVA along with SPSS 12.0 package. The results of this study were as followings: First, the result of sex role stereotype according to vital statistics was different with age, scholarship, job, and employer. Androginy type and Undiffer type highly showed most variable. That showed the change of Sex Role Stereotype. Second, the result of the factor of feminization in men's fashion according to Sex Role Stereotype was identified as 'pursuit of fashion,' 'pursuit of sense,' 'feminity,' 'secession of sex role.' Third, the result of the factor of feminization in men's fashion according to the vital statistics was different with scholarship, job, and employer. Forth, the factor of feminization in men's fashion according to sex role stereotype was different with 'pursuit of fashion,' 'pursuit of sense,' 'secession of sex role.' Especially, 'pursuit of fashion' and 'pursuit of sense' was importantly understood with the factor of feminization in men's fashion in Androginy type.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.11
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• pp.1487-1499
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• 2007

In this study, photographs of 600 Korean females aged from 20 to 50years old were indirectly measured in Venus face 2D program. The measurements were analyzed by statistical methods. The purpose of this study was to differentiate the facial types of adult women for the beauty industry. As a result of factor analysis, 6 factors were selected the key factors of facial shape: head height(factor 1), head width(factor 2), side face width(factor 3), head width and circumference(factor 4), face length(factor 5), and side face width(factor 6). We categorized facial type into 5 groups with the previous 6 factor. 5 types were most common facial shapes: Oblong face(type 1), Square face(type 2), Oval face(type 3), Round face(type 4), Triangle face(type 5). The results of facial type analysis were showed that Round face(26.6%), Triangle face(25.3%), Oval face(22.3%), Square face(20.0%), Oblong face(5.7%).

• Journal of Fashion Business
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• v.20 no.4
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• pp.36-49
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• 2016

The objective of this study was to examine the effects of appearance management behaviors on career decision level among female college students. Based on previous studies on appearance management behaviors and career decision level, the items for a questionnaire were developed. For the study, we conducted a questionnaire survey among 292 students from women's university in Seoul. Factor analysis, correlation analysis and multiple regression analysis were performed using SPSS statistics 23. Results of this study are as follows. First, the factor structure of appearance management behavior had three factors: 'fashion & hair,' 'skin & plastic surgery,' and 'body shape.' The reliability and validity of the factor structure were proved. Second, a significant correlation was found between sub-factors in appearance management behaviors. Career decision level showed a significant correlation only with body management factor. Third, the appearance management behavior of female college students was found to have a partially significant effect on career decision level. For higher grade students, fashion & hair factor and body shape factor had positive effects on career decision level. For lower grade students, body shape factor had a positive effect on career decision level while skin & plastic surgery factor had a negative effect on career decision level. Therefore, to increase career decision level, managing appearance through keeping fit body shape is crucial. This study also suggests that as one elevates to a higher grade, the importance of management and keeping interest toward fashion is important.