• Title/Summary/Keyword: multidimensional scaling

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Multidimensional scaling analysis on the images of special purpose academies (다차원 척도법을 이용한 특수 목적대학에 대한 이미지 분석)

  • Bae, Hyun-Wung;Kwon, Ki-Ho;Moon, Mi-Nam;Moon, Ho-Seok
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.11-20
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    • 2010
  • The purpose of this study is to analyze the images of the Military Academy, Naval Academy, Air Force Academy, Police Academy, and Armed Forces Nursing Academy using multidimensional scaling method. For this research, we surveyed 363 applicants to special purpose academies including Military Academies and Police College. The study showed that the Military, Naval, and Air Force Academies had stronger image than the Police Academy in the area of physical strength, tradition, and fellowship between senior and junior. On the other hand, the Police Academy had better image in the area of social activity and applicant's academic achievement. The Military Academy had been evaluated the best school among the three Academies in the area of applicant's academic achievement, educational environment, faculty, tradition, and fellowship between senior and junior.

Cognitive structure of TV drink advertisement based on multidimensional scaling (다차원척도법으로 알아본 음료 TV광고 인식구조: 주의 속성을 중심으로)

  • Kim, Eun Young;Lee, Hunjae;Chong, Sang Chul
    • Korean Journal of Cognitive Science
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    • v.25 no.1
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    • pp.25-49
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    • 2014
  • Advertisement for one type of product competes against another type using different advertising strategies. It is important to know which factors influence people's perception of the message within the advertisement and their formation of attitudes towards the advertisement. Using multidimensional scaling, this study investigated what main factors were important when people perceive beverage advertisements on TV. A positioning map was constructed based on similarity ratings of 14 drink advertisements. We examined the meaning of the three dimensions of the positioning map by asking a different group of participants to rate on components of attention, attitudes toward advertisements and products, and intention to purchase the product in each advertisement. It was found that three dimensions in the map was attention to content, color, and motion respectively. More importantly, the attentional component to content was related to the attitude of affection and action toward a beverage introduced in advertisement. These results suggest that content-based attention in advertisements induces a positive attitude toward the advertisements.

Health Education Curriculum Constructs and Dimensional Properties for Korean Middle School Students in Multidimensional Scaling Analysis (다차원척도법을 이용한 중학교 보건교육 교과영역 구축 및 속성 분석)

  • Park, Kyoung-Ok
    • The Journal of Korean Society for School & Community Health Education
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    • v.7
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    • pp.1-17
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    • 2006
  • Background: School is a primary health education setting for adolescents and the continuous support should be provided to renew school health education curriculum correspondent to cultural changes in Korean society. Objectives: This study was conducted to identify the principals and teachers' health education needs for their students and to analyze their conceptual map for health education curriculum at school. Methods: The sample size of the preliminary study was 321 of the teachers in elementary, middle, and high school, and that of the main study was 355 middle school principals and teachers over the country. The self-administered mailing survey was conducted to collect the available health education topics in the preliminary study, to identify the factor structure of the health education topics and to analyze the conceptual properties on health education with exploratory factor analysis and multidimensional scaling analysis in SPSS 12.0. Results: A total of 21 health education topics were collected from the preliminary survey and 31 topics were, comprehensively, generated for the main survey. In exploratory factor analysis, seven factors were generated in 1.0 or greater Eigen value standard. The seven factors were 'life health promotion,' 'disease prevention and drug control,' 'bulling and aggression prevention,' 'injury and sexual harassment prevention,' human-efficacy and regulation,' 'health protection for adolescence,' and 'alcohol and tobacco control.' The educational need scores were the highest in 'human-efficacy and regulation' and 'injury and sexual harassment prevention.' The two-dimensional cooperates were generated for the 31 health education topics and the two dimensional properties which divided the conceptual space were 'health-safety' for one and 'public/environmental-individual/personal' for the other. That is, middle school principals and teachers primarily, understand the health education curriculum in the sense of 'health vs. safety' and 'public/environmental vs individual/personal.' Conclusions: Health education curriculum and textbook should be developed based on teachers' needs and conditions for health education in school fields. The field-based health education programs or textbook would make more possible problem-solving health education for youth in real school fields.

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Distribution and Characteristics of Native and Exotic Plants on Cut Slopes and Rest Areas along Korean Highway Lines

  • Kim, Kee-Dae
    • Journal of Environmental Science International
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    • v.16 no.5
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    • pp.549-559
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    • 2007
  • Vegetation surveys were performed at 45 plots along 10 highways cut slopes in South Korea. Total floral inventory, species richness and exotic plant percentage were obtained within each plot. Life history and life form of each species appeared were analyzed. Community types were classified using hierarchical cluster analysis and detrended correspondence analysis and non-metric multidimensional scaling were conducted from vegetation matrix. 292 species of vascular plants were discovered and the number of natives and exotics were 226 and 66, respectively. There were no significant differences of species richness and exotic plant percentage between cut slopes and rest areas. Hierarchical cluster analysis indicated five clear vegetation associations in cut slopes and rest areas. Detrended correspondence analysis indicated that species composition of total and native plants were similar along the highway cut slopes whereas exotic plants were distributed differentially along the highway cut slopes. in non-metric multidimensional scaling, the studied sites were more separated from each other on the basis of their species composition than the results of detrended correspondence analysis with respect to total, native and exotic plants. The both ordination represented that exotic plants have not been made uniform yet on cut slopes and rest areas by highway corridor in spite of diverse chronosequences after highway construction termination (1 to 22 years). This study showed that the distribution of species composition in exotic plants was different and localized on cut slopes and rest areas of highway in this representative peninsula area of North East Asia and the invasion of exotic plants can retard the process of plant species homogenization.

Non-Metric Multidimensional Scaling using Simulated Annealing (담금질을 사용한 비계량 다차원 척도법)

  • Lee, Chang-Yong;Lee, Dong-Ju
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.6
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    • pp.648-653
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    • 2010
  • The non-metric multidimensional scaling (nMDS) is a method for analyzing the relation among objects by mapping them onto the Euclidean space. The nMDS is useful when it is difficult to use the concept of distance between pairs of objects due to non-metric dissimilarities between objects. The nMDS can be regarded as an optimization problem in which there are many local optima. Since the conventional nMDS algorithm utilizes the steepest descent method, it has a drawback in that the method can hardly find a better solution once it falls into a local optimum. To remedy this problem, in this paper, we applied the simulated annealing to the nMDS and proposed a new optimization algorithm which could search for a global optimum more effectively. We examined the algorithm using benchmarking problems and found that improvement rate of the proposed algorithm against the conventional algorithm ranged from 0.7% to 3.2%. In addition, the statistical hypothesis test also showed that the proposed algorithm outperformed the conventional one.

A Comparison Analysis of Various Approaches to Multidimensional Scaling in Mapping a Knowledge Domain's Intellectual Structure (지적 구조 분석을 위한 MDS 지도 작성 방식의 비교 분석)

  • Lee, Jae-Yun
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.2
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    • pp.335-357
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    • 2007
  • There has been many studies representing intellectual structures with multidimensional scaling(MDS) However MDS configuration is limited in representing local details and explicit structures. In this paper, we identified two components of MDS mapping approach; one is MDS algorithm and the other is preparation of data matrix. Various combinations of the two components of MDS mapping are compared through some measures of fit. It is revealed that the conventional approach composed of ALSCAL algorithm and Euclidean distance matrix calculated from Pearson's correlation matrix is the worst of the compared MDS mapping approaches. Otherwise the best approach to make MDS map is composed of PROXSCAL algorithm and z-scored Euclidean distance matrix calculated from Pearson's correlation matrix. These results suggest that we could obtain more detailed and explicit map of a knowledge domain through careful considerations on the process of MDS mapping.

Multidimensional Scaling Analysis of Inter-regional Public Transit Services: Focusing on Inter-regional Railways (다차원척도법을 활용한 지역 간 대중교통 수단들의 유사성에 관한 연구: 간선열차를 중심으로)

  • Kwon, Yeongmin;Jang, Kitae;Jang, In Gwun
    • Journal of the Korean Society for Railway
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    • v.19 no.2
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    • pp.243-250
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    • 2016
  • As sustainable growth has been emphasized in the field of transportation, the railway system has been promoted as an environmentally-friendly transport mode. However, mode shifts from other transport modes to railway have been sluggish. In this context, to enhance the understanding of railway's competitive advantages and disadvantages, this research evaluates travelers'preferences for public transport modes for inter-regional trips: such understanding should make it possible to formulate effective policy for promoting railways. To this end, passenger recognition of competitive transport modes has been measured by applying multidimensional scaling analysis for six major inter-regional public transport services - KTX, ITX-Samaeul, Mugunghwa-ho, premium express bus, general express bus, and airline. As a result, we can conceptualize the recognition similarity in two-dimensional space, and understand how travelers perceive the six major transport modes.

A Comparative Study on Welfare Level for the Persons with Disabilities using Multidimensional Scaling and Cluster Analysis (다차원척도법과 군집분석을 활용한 시도별 장애인복지수준 비교연구)

  • Seo, Dong-myung
    • Korean Journal of Social Welfare Studies
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    • no.36
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    • pp.81-101
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    • 2008
  • The purpose of this study is to analyze characteristics of welfare level for the persons with disabilities in Korean local governments. The study adopted multidimensional scaling and cluster analysis. Based on prior studies and comparative importance research, three indicators were extracted from the welfare circumstance index for the disabled. They are the ratio of the registered disabled population, the ratio of the disabled household in poor households, the ratio of dependence on public finance. Also, nine dimensions and twenty seven indicators were extracted from the welfare level index. The dimensions are as follows : Education, income & economic activities support, welfare services infra-structure, health & welfare service support, movement convenience & safety, rights protection, culture, leisure & information accessibility, welfare administration & budget for the disabled. The findings from the welfare circumstance index show that local governments are divided into three groups and all indicators are statistically significant. On the other hand, the findings from the welfare level index, show that local governments are divided into four groups and five indicators are statistically significant. Based on these findings, the study proposes improvement in the disabled welfare level, and balanced development of local governments.

Characteristics of Source Acupoints: Data Mining of Clinical Trials Database (데이터 마이닝을 이용한 임상연구 데이터베이스 기반 원혈의 주치 특성)

  • Choi, Dha-Hyun;Lee, Seoyoung;Lee, In-Seon;Ryu, Yeonhee;Chae, Younbyoung
    • Korean Journal of Acupuncture
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    • v.38 no.2
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    • pp.100-109
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    • 2021
  • Objectives : Source acupoint is one of the representative acupoints to treat various diseases in each meridian. We aimed to identify the patterns of selection of Source acupoints and their associations with diseases using clinical trials data. Methods : We extracted the frequency of Source acupoints across 30 diseases from clinical trials database. Acupuncture treatment regimens were retrieved from the Cochrane Database of Systematic Reviews. The frequency of Source acupoint use was calculated as the number of studies using a certain acupoint divided by the total number of included studies. Using hierarchical clustering and multidimensional scaling, the characteristics of Source acupoints were analyzed based on the similarity of the relationships between the Source acupoints and the diseases. Results : A total of 421 clinical trials were included for this analysis. LR3, HT7, KI3, and LI4 acupoints were most frequently used for the treatment of 30 diseases. Cluster analysis showed that LR3 and LI4 acupoints were grouped together and HT7 and KI3 acupoints were grouped together. Multidimensional scaling revealed that LR3, LI4, HT7, and KI3 acupoints have intrinsic properties in the two-dimensional space. Conclusions : The present study identified the selection patterns of the Source acupoints using clinical trials data. Our finding will provide the understanding of the characteristics of Source acupoints.

Comparison Between Core Affect Dimensional Structures of Different Ages using Representational Similarity Analysis (표상 유사성 분석을 이용한 연령별 얼굴 정서 차원 비교)

  • Jongwan Kim
    • Science of Emotion and Sensibility
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    • v.26 no.1
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    • pp.33-42
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    • 2023
  • Previous emotion studies employing facial expressions have focused on the differences between age groups for each of the emotion categories. Instead, Kim (2021) has compared representations of facial expressions in the lower-dimensional emotion space. However, he reported descriptive comparisons without statistical significance testing. This research used representational similarity analysis (Kriegeskorte et al., 2008) to directly compare empirical datasets from young, middle-aged, and old groups and conceptual models. In addition, individual differences multidimensional scaling (Carroll & Chang, 1970) was conducted to explore individual weights on the emotional dimensions for each age group. The results revealed that the old group was the least similar to the other age groups in the empirical datasets and the valence model. In addition, the arousal dimension was the least weighted for the old group compared to the other groups. This study directly tested the differences between the three age groups in terms of empirical datasets, conceptual models, and weights on the emotion dimensions.