• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.129-139
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• 2014

The purpose of this study is to examine the features of children poverty in Korea. Using the 7th Korean Welfare Panel Study, this study conducts latent class analysis to classify households with children. Results show that households with children are classified into three types: 1) housing expenditure overburdened households, 2) multidimensional deprivation households, 3) non-poverty households. The housing expenditure overburdened households have higher rates of housing expenditures than the other two groups. The multidimensional deprivation households experience various types of deprivation such as food insecurity, poor housing, and unstable job security for householders. The results imply that comprehensive approaches are needed to address multiple problems which poor households with children suffer.

• The Korean Journal of Applied Statistics
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• v.25 no.4
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• pp.613-620
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• 2012

In most cases of multidimensional scaling(MDS), the distances or dissimilarities among units are assumed to be symmetric. Thus, it is not an easy task to deal with asymmetric distances. Asymmetric MDS developed so far face difficulties in the interpretation of results. This study proposes a much simpler asymmetric MDS, that utilizes the notion of "altitude". The analogy arises in mountaineering: It is easier (more difficult) to move from the higher (lower) point to the lower (higher). The idea is formulated as a quantification problem, in which the disparity of distances is maximally related to the altitude difference. The proposed method is demonstrated in three examples, in which the altitudes are visualized by rainbow colors to ease the interpretability of users.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.665-676
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• 2014

As social media draws attention as a business tool, organizations, large or small, are trying to exploit social media in their business. However, lack of understanding the characteristics of each social media led them to develop a naive strategy for dealing with social media. Thus, this study aims to deepen the understanding by comparatively analyzing how social media users perceive (the image of) each social media. Facebook, Twitter, YouTube, Blogs, Communities and Cyworld were chosen for our study and data from 132 respondents were analyzed using multidimensional scaling technique. The results show that there are meaningful differences in users' perception of social media attributes, which are grouped into four; information feature, motivation, promotion tool, usability. It is also analyzed whether such differences can be found between male and female users. (Such differences are also analyzed in both male and female users' perceptions.) Further, we discuss some implications of the research results for both practitioners and researchers.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.197-210
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• 2012

This paper presents the ways that can improve the Software Cost Estimation Guidelines in order to replace those that are expected to be abolished at February, 2012, and solve the problems that are being occurred in the current Software Cost Estimation Guidelines. By using multidimensional modeling of OLAP(On-Line Analytical Processing), this paper does three dimensional modeling that considers the product/service view, process view and skill view. Also, it presents the identification method of cost estimation data through the view of each dimension. Furthermore, it defines the software cost estimation process and adapts them into the bottom up estimation and the top down estimation. Finally, it proposes the access of cost estimation data by the multidimensional analysis of OLAP.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.05a
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• pp.27-28
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• 2011

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2000.06a
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• pp.54-61
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• 2000

A method and results of classification of 4 types metallic wear debris were presented by using their color features. The color image of wear debris was used (or the initial data, and the color properties of the debris were specified by HSI color model. Particle was characterized by a set of statistical features derived from the distribution of HSI color model components. The initial feature set was optimized by a principal component analysis, and multidimensional scaling procedure was used for the definition of classification plane. It was found that five features, which include mean values of H and S, median S, skewness of distribution of S and I, allow to distinguish copper based alloys, red and dark iron oxides and steel particles. In this work, a method of probabilistic decision-making of class label assignment was proposed, which was based on the analysis of debris-coordinates distribution in the classification plane. The obtained results demonstrated a good availability for the automated wear particle analysis.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.45-70
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• 2012

There have been many methods and algorithms proposed for multidimensional scaling to mapping the relationships between data objects into low dimensional space. But traditional techniques, such as PROXSCAL or ALSCAL, were found not effective for visualizing the proximities between objects and the structure of clusters of large data sets have more than 50 objects. The CLUSCAL(CLUster-oriented SCALing) technique introduced in this paper differs from them especially in that it uses cluster structure of input data set. The CLUSCAL procedure was tested and evaluated on two data sets, one is 50 authors co-citation data and the other is 85 words co-occurrence data. The results can be regarded as promising the usefulness of CLUSCAL method especially in identifying clusters on MDS maps.

• Journal of Family Resource Management and Policy Review
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• v.17 no.3
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• pp.59-79
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• 2013

The purpose of this study was to develop and validate a scale for the multidimensional assessment of work-family spillover in working couples with children. The subjects of this study were working wives and husbands with children in Daegu. Two surveys were administered, eliciting 243 respondents and 227 respondents, respectively. Then a series of tests were run to analyze the data, including item-to-total correlation, Cramer's V coefficients, item discrimination, Cronbach's ${\alpha}$, and exploratory and confirmatory factor analysis. The results yielded that, first, a preliminary 102 items were developed on the basis of the literature review, and this was narrowed down to 72 items selected with the help of experts. Through preliminary, primary and secondary survey analysis, the scale for the multidimensional assessment of work-family spillover was developed and validated, with a 36 items scale, 18 items for work to family spillover and 18 items for family to work spillover. Furthermore, the scale constructed three spillover processes - time interference, energy depletion, and psychological distraction - and consisted of four different domains of family life into which spillover occurs - namely marital relationship, parent-child relationship, leisure, and housework. The internal reliability was evaluated to show a confidence range of .85 ~.92 for each factor.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.2 s.150
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• pp.358-368
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• 2006

Today apparel finns make much effort to build a long-term relationship with their customers. The studies of salesperson-customer relationship emphasized the importance of customer's commitment on the formation of the continuous salesperson-consumer relationship. Therefore, the current study deals with the psychological relationship commitment development and from this prospective examines how consumers maintain the continuous relationship with a particular salesperson. The data were collected from January to February 2005 and analyzed by using SPSS 11.5 and Amos 5.0 with factor analysis, regression, ANOVA, path analysis. The results are as follows: First, the hypothetical model of multidimensional consumer commitment which showed a better fit of data than the rival model is unintentionally conceptualized. Second, the result showed that the affective commitment did the most effective role among the three dimensions of commitment consulted in this study. Especially the data indicated that for the establishment of the affective commitment in the salesperson-customer relationship. it is very important that a customer has deep trust in salesperson's ability, benevolence and honesty.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1241-1251
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• 2014

Based on the 4 principal research-performance criteria in 28 national universities in Korea, both cluster analysis and multidimensional scaling are performed in this paper. We can classify and/or specialize the initially unknown groups into a group of relatively homogeneous universities and then create new groupings without any preconceived notion of what clusters may arise. Furthermore, the level of similarity of individual universities can be visualized on the multidimensional space so that each university is then assigned coordinates in each of the 2 dimensions. Both types and characteristics of each university can be relatively evaluated and be practically exploited for the policy of the university authority through these results.