• 한국물환경학회지
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• 제35권1호
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• pp.19-27
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• 2019

The purpose of this study is to evaluate the water quality and phytoplankton community in Bukhan River which account for 44.4 % of the total inflow into Lake Paldang, using multivariate statistical techniques (i.e., correlation analysis, principal component analysis (PCA)/factor analysis (FA)). Water samples were collected from March to November 2015 and the following parameters measured; water temperature, pH, DO, EC, SS, BOD, Chl-a, COD, TN, $NO_3-N$, $NH_3-N$, TP, DTP, $PO_4-P$, and phytoplankton community. The water quality of the main stream and the tributaries were not significantly different apart from the relatively high concentration of BOD, COD and nutrients recorded in MH. The highest cell density of Stephanodiscus hantzschii and Merismopedia glauca dominated phytoplankton was observed in PD. Based on the correlation analysis, total phytoplankton and cyanophyceae were highly correlated with BOD, COD and nutrients. PCA/FA resulted in four main factors accounting for 82.240 % of the total variance in the water quality dataset. The group of component 1 (TN, DTN, DO, $NO_3-N$, water temperature) and component 2 ($PO_4-P$, T-P, DTP, SS) were classified as nutrient element factor whereas component 3 (Chl-a, COD, BOD, $NH_3-N$, pH) was related to organic substances. Hence, the identification of the main potential environmental pollution factors in Bukhan River will help policy makers make better and more informed decisions on how to improve the water quality.

• 대한가정학회지
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• 제33권6호
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• pp.255-268
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• 1995

The purpose of this study is to provide basic information for elderly women's clothing construction and to develop dress form that can reflect the characteristics of their bodies. Three hundred twenty subjects, between the ages of 60∼85, were chosen and the data were collected from 59 anthropometric measurements of each subject. Data were analyzed by factor analysis of principal component model, cluster analysis, analysis of variance and duncan test. The results are as follows : 1. A decrease in height, an enlargement of the waist and abdomen area, and a dropped bustline are characteristics of elderly women. The upper-torso droops as a ge increase 2. Seven factors were extracted from anthropometric measurements. Factor components were obesity, height, shoulder shaper, the center front bodice length, the center back bodice length, the bust and neck shape, the degree and level of scapular protusion. 3. After analyzing seven factors, four types were categorized.

• 한국식생활문화학회지
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• 제3권1호
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• pp.57-66
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• 1988

The results obtained by survey on 599 respondents of different age groups for preference of 84 prepared foods were subjected to statistical principal component analysis, factor analysis, analysis of variance, scheffe verification, and discriminant analysis so as to find a structure of preference for foods. The results may be summarized as follows: 1. The results of the factor analysis indicate that 84 prepared food items may be classified into 3 groups and that by knowing an indvidual's preference to one prepared food, one can presume his preference to the others in the same group without carrying out actual test. 2. The results from an analysis of variance showed that most of primary school children extremely liked snacks, seniors liked Korean cooking, primary school children and collegians had weaknesses for western cookings while kindergarden children and adults over 50 years old disliked them.

• 아동학회지
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• 제31권1호
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• pp.101-111
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• 2010

The purpose of this study was to develop a scale to measure the life satisfaction of after-school classes. For this purpose, utilizing the theoretical background and the findings of previous studies, 147 questions from eight factors were selected for the 1st draft and 67 questions were selected for the 2nd draft by reviewing the validity of the contents after consulting with eleven professionals. A preparatory survey and factor analysis was then conducted using 291 people and a total of 32 questions were extracted from four sub-factors. Exploratory factor analysis by principal component analysis was conducted and orthogonal rotation was conducted by means of the VARIMAX method. The reliability of the class environment, operation management, program and teacher relationship sector were found to be very high. It is suggested that this study can be of great benefit in developing a child-centered scale and it's reliability was also found to be high.

• 산업경영시스템학회지
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• 제19권38호
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• pp.117-129
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• 1996

This Study intends to analysis what 3 factors, which are indices of Capital, Labor and Distribution, really affect to Value-Added Productivity through Statistical Analysis. For this, We selected 12 indices of Value-Added from the edition of 'Annual report of Korean companies' published in 'Korea Investors Service., Inc', especially in parts of Chemicals and Chemical products of total 85 companies. Using this data, Multivariate Statistical Analysis such as Principal Component Analysis, Factor Analysis, Covariance Structure Analysis is taken for modeling the effect of 3 factor(Labor Productivity, Capital Productivity and the Index of Distribution) on Value-Added Productivity.

• 대한공간정보학회지
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• 제18권1호
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• pp.83-88
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• 2010

본 논문은 수도권 내 지역을 도시적 특성에 따라 군집 분석하여 수도권의 지역유형을 구분하고 그 특성을 파악하고자 하였다. 수도권 도시의 유형화를 위해 2005년을 시점으로 도시의 구성요소인 인구, 활동, 토지 및 시설을 나타내는 지표 10가지를 선정하였으며, 주성분분석을 통해 변수들의 공통된 특성이나 유사한 성질에 따라 공통인자를 추출하였다. 추출된 인자에 대한 인자득점을 이용하여 군집분석을 행하였고, 군집분석의 방법은 계층적 군집방법인 최단연결법, 최장연결법, 평균연결법, 와드법을 이용하였다. 그 결과 수도권을 5개의 군집으로 유형화 할 수 있었다.

• 한국수학교육학회지시리즈A:수학교육
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• 제46권3호
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• pp.263-272
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• 2007

Mathematics Teaching Efficacy Beliefs Inventory (MTEBI) was translated into Korean and conducted among Korean pre-service mathematics teachers. The Korean-translated MTEBI consists of two subscales with 16 items. Personal Mathematics Teaching Efficacy (PMTE) subscale has 10 items and Mathematics Teaching Outcome Expectancy (MTOE) subscale has 6 items. The purpose of this study is to investigate the internal reliability and the construct validity of the Korean-translated MTEBI. The Cronbach alpha coefficient of Korean-translated MTEBI and its two subscales are respectively .87, .83, and .74 which imply that the instrument is reliable. The construct validity was achieved by performing factor analysis. Principal component solution with varimax rotation for the Korean-translated MTEBI was used in factor analysis and thus the best fit simple structure was obtained by two factors which correspond to the self-efficacy dimension and the outcome expectancy dimension of Bandura's self-efficacy theory.

• 한국의류학회지
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• 제26권7호
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• pp.1026-1035
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• 2002

The purposes of this study were to classify the front view of trunk of adult males into several kinds of shape and to provide the characteristics and silhouette of each group which has same shape. As the sample, subjects were l290 males of 20 to 54 year-old. The procedure and results were follows; l. The principal component analysis was used to obtain the shape factor of the front of the trunk 8 factors in the front which explained 86.8% of total variance were extracted. 2. As the result of the cluster analysis of factor scores, the font of body was classified in 4 types. 4 types were named X, A, Y and H type in the front considering the characteristics of each type.

• 대한교통학회지
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• 제26권3호
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• pp.53-66
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• 2008

본 연구는 기존의 도로기능 분류체계를 보완하면서 유형화된 도로구간들의 교통특성을 규명하기 위해 새로운 관점에서 도로특성분류 개념을 정립하였다. 도로특성분류는 교통계획, 교통운영관리 등의 교통전반으로 설계 및 정책을 수립하고 지침을 마련하는데 중요한 판단자료로 이용될 것으로 기대된다. 또한, 도로특성분류를 위해 일반국도 상시지점 조사자료를 토대로 12개의 설명변수를 산출하였으며, 이 설명변수들간의 상호상관을 통한 잠재구조 및 다중공선성 검토, 요인점수를 추출하는 탐색적 요인분석을 수행하였다. 연구 방향은 탐색적 요인분석의 각 실행단계별 접하게 되는 의사결정 문제를 세밀하게 검토하였으며, 각 논점별로 올바른 평가기준 방법을 제시하여 최종적인 종합결론을 도출하였다. 적정 설명변수와 요인 수를 결정하기 위해 10개의 시나리오를 비교분석한 결과, 처음 제시한 12개의 설명변수를 모두 포함한 경우가 가장 우수한 것으로 분석되었으며, 4개의 요인이 가장 적정한 것으로 나타났다. 본 연구결과는 추후에 다양한 분석방법(군집분석, 회귀분석, 판별분석 등)에 있어서 객관적인 입력자료로 사용됨에 따라 보다 정확한 연구결과가 도출될 것으로 기대된다.

• 한국의류산업학회지
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• 제18권1호
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• pp.91-102
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• 2016

This study classified the lower body types of female adults aged 18 to 69. The lower body was divided into front, lateral front, and lateral back. In order to understand the shape and somatotype of each segment, 592 people were analyzed based on girth, height, length, depth, width, angle and cross section distance for each segment. For data analysis, SPSS 18.0 was performed for descriptive statics, principal component analysis, K-means cluster analysis, ANOVA, and Duncan's test (as verification). Factor analysis was performed based on index values, calculation values, angles, and cross section distances. The measured items resulted in a.) 16 items were extracted to 5 factors in the case of the front factor (FF) of the lower body, and b.) 24 items were extracted to 6 factors in the case of lateral front factor (LFF) and lateral back factor (LBF). Each factor was put through K-means cluster analysis, classifying the lower bodies into one of four types of based on the front type (FT), the lateral front type (LFT), and the lateral back type (LBT) respectively. This study proposed an understanding of various lower body shapes by segmenting and classifying the lower body shapes for each type.