• Journal of the Korea Fashion and Costume Design Association
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• v.4 no.3
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• pp.33-42
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• 2002

The purpose of this study was to find out criteria for classifying fashion brand from consumer point of view in order to develop strategy of fashion brands and to manage brand effectively and systematically, and to suggest theoretical frame for application of these criteria. Survey was used as a research method. Subject were 422 age of 20-30 women living in and near Seoul. Questionnaires was developed to based on 37 classification criteria, and SPSS package program were used to analyze data. The results of this study were as follows: First, factor analysis considering 37 classification criteria identified 8 factors as classification criteria. They were the level of brand form, the level of product concept, the level of management item, the level of brand sales ability, the level of customer management, the level of brand advertizing and awareness, the level of brand value, the level of product lead ability. Second, the most important factor was the level of customer management, but comparatively factor of the level of brand sales ability the level of brand value was less important. Third, consumer cognized difference of criteria for classifying fashion brands. And the level of product lead ability was the most important factor in women's wear category and the level of brand form was in general casual wear category.

• The KIPS Transactions:PartD
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• v.14D no.6
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• pp.597-604
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• 2007

Stream data is a continuous flow of information that mostly arrives as the form of an infinite rapid stream. Recently researchers show a great deal of interests in analyzing such data to obtain value added information. Here, we propose an efficient cube computation algorithm for multidimensional analysis of stream data. The fact that stream data arrives in an unsorted fashion and aggregation results can only be obtained after the last data item has been read. cube computation requires a tremendous amount of memory. In order to resolve such difficulties, we compute user selected aggregation fables only, and use a combination of an way and AVL trees as a temporary storage for aggregation tables. The proposed cube computation algorithm works even when main memory is not large enough to store all the aggregation tables during the computation. We showed that the proposed algorithm is practically fast enough by theoretical analysis and performance evaluation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.521-528
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• 2016

Web-based services are used widely in many computer application fields due to the increasing use of PCs and mobile devices. Accordingly, topics on the analysis of access logs generated in the application fields have been researched actively to support personalized services in the field, and analyzing techniques based on the weight differentiation of information in access logs have been proposed. This paper outlines an analysis technique for web-click streams, which is useful for finding high utility old item sets in web-click streams, whose data elements are generated at a rapid rate. Using the technique, interesting information can be found, which is difficult to find in conventional techniques for analyzing web-click streams and is used effectively in target marketing. The proposed technique can be adapted widely to analyzing the data generated in a range of computing application fields, such as IoT environments, bio-informatics, etc., which generated data as a form of data streams.

• The Korean Journal of Applied Statistics
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• v.30 no.3
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• pp.377-390
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• 2017

When conducting a survey, item nonresponse occurs if the respondent does not respond to some items. Since analysis based only on completely observed data may cause biased results, imputation is often conducted to analyze data in its complete form. The panel study is a survey method that examines changes of responses over time. In panel studies, there has been a preference for using information from response values of previous waves when the imputation of item nonresponses is performed; however, limited research has been conducted to support this preference. Therefore, this study compares the performance of imputation methods according to whether or not information from previous waves is utilized in the panel study. Among imputation methods that utilize information from previous responses, we consider ratio imputation, imputation based on the linear mixed model, and imputation based on the Bayesian linear mixed model approach. We compare the results from these methods against the results of methods that do not use information from previous responses, such as mean imputation and hot deck imputation. Simulation results show that imputation based on the Bayesian linear mixed model performs best and yields small biases and high coverage rates of the 95% confidence interval even at higher nonresponse rates.

• The Journal of Korean Society for School & Community Health Education
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• v.11 no.1
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• pp.93-115
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• 2010

Objectives: This study intends to understand the difference of social support levels and the relationship between social support the health status, college adjustment and academic achievement in the college student. Methods: Data were obtained from self-administered questionnaire of 416 college student. We measured the demographic characteristics, social support (tangible support, appraisal support, belonging support, self-esteem support), health status (36-item short-form health survey(SF-36), center for epidemiologic studies-depression(CES-D), perceived stress scale(PSS)), student adaptation to college questionnaire(SACQ), average grades point. Chi-square test, t-test, ANOVA test, pearson correlation analysis were used for analysis factors relation of the social support of the college students. Results: In considering the degree of social support by the demographic characteristics in the college students, the social support was better for the female college students. In considering the relation between social support and health status, the students who get better social support, were good in health depression and perceived stress status. When they got better social support their college adjustment and academic achievement were good. The result was statistically significant. Conclusions: Social support for students has great influence on health, college adjustment and academic achievement of students. Psychological aspects of students should be included in the strategy of social support for students.

• Journal of Environmental Health Sciences
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• v.43 no.4
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• pp.298-306
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• 2017

Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

• Journal of Fashion Business
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• v.4 no.4
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• pp.83-96
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• 2000

The purpose of this study is to offer the basic data for chinese men' clothing construction. This study analyzes characterization and classification of body types of the Chinese men with body measurement values. This researcher executed the body measurement of total 39 items on 414 chinese men in Beijing and Shanghai aged 20-49 years old and analyzed the data with methods of analysis of variance, factor analysis and cluster analysis using it as the study item. The results of this study can be summarized as follows; 1. As the result of comparative analysis of the body measurements by age group and region group, the horizontal items such as the widths, depths, and girths increased with advancing ages, while heights decreased. 2. As the result of factor analysis on the items, 5 factors on such as the first factor on the obesity of body, the second factor on the size of vertical of body, the third factor on the length of upper body, the forth factor on the width of the shoulder, the fifth factor on the degree of dropping shoulder were extracted. 3. As the result of classification based on the cluster analysis, the body type were classified into 5 types. So, to see the feature of body form by types, type 1 was small stature, short parts of the body. type 2 was tallest, fattest and type 3 was small stature, fat. type 4 was tall, long length arm and leg, thick waist. type 5 was tall, long length arm and leg, fat.

• Journal of the Korean Society of Clothing and Textiles
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• v.36 no.8
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• pp.849-859
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• 2012

This study contributes to the development of a creative fashion design and provides concrete data regarding the process of creative ideas through an analysis of the characteristics of the fashion design idea and the characteristics of fashion design from a formative perspective according to Osborn's checklist method. The data collection involved 466 pages that focused on the work of 30 designers (2005 S/S-2009 F/W) extracted from the websites style.com and ifb.co.kr. In the cases of pictures collected, a content analysis was applied based on statistical analysis and design analysis criteria. First, as a result of the examination of the characteristics of ideas for fashion design based on the checklist, it turned out that elimination method is most frequently employed, followed by addition, conversion, limit and combination. In addition, every idea showed a significant difference in terms of the applied item, expression method, and balance. Second, due to the study of the formative characteristics of fashion design (based on the checklist), it turned out that square-shaped silhouette, achromatic and chromatic colors, combined tones, identical color combination, complex texture, and identical texture combination are frequently used. In addition, every idea showed a significant difference in terms of form, color, and fabric. We believe that the use of the checklist is useful for the development of a creative design because formative characteristics vary based on the characteristic of ideas of fashion design.

• Korean Medical Education Review
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• v.18 no.1
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• pp.38-43
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• 2016

The authors investigated the effect of feedback and remediation after formative assessment (FRFA) by comparing the FRFA score and that of summative assessment (SA) in a course on clinical skills. In March 2015, 33 subjects underwent evaluation of their ability to perform a complex clinical skill using a real-time ready-made mobile assessment form tool, and through e-mail they were supplied with their feedback and final score (the pass group earned 2 points; the intermediate group earned 1 point; the nonpass group earned 0 points) followed by their self-reflection. The nonpass group underwent a re-test and e-mail feedback again until they passed the test, given the ease of performance. In December 2015, the 33 subjects took a 10-item SA, and one of the 10 items addressed a similar clinical skill. The difference between the first score on the FRFA and the score on the SA was evaluated statistically (p=0.05) through data analysis, variance distribution, correlation analysis, and linear regression analysis using SPSS software ver. 16. The increase from the score on the SA to that on the FRFA was statistically significant ($4.5{\pm}9.29$) in the pass group and the intermediate group, and was $29.7{\pm}11.49$ in the nonpass group of the formative evaluation (p<0.001). Using an FRFA could decrease the range in the standard deviation of the score and increase the minimum score among the subjects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.166-173
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• 2020

The purpose of the present study was to validate the Need for Closure Scale-Short Form (NFCS-SF), which measures the need for cognitive closure. Participants completed questionnaires regarding need for cognitive closure, intolerance of uncertainty, depression, and anxiety. Of the 536 data collected between May and July 2017, data from a total of 495 participants were analyzed using SPSS 20.0 and M-Plus. The results of the study are as follows. First, a 15-item selection comprised three items from each facet scale via exploratory factor analysis. Second, the NFCS-SF demonstrated good internal consistency (Study 1, Cronbach's α=.85; Study 2, Cronbach's α=.84). Third, the results of the confirmatory factor analyses supported a 5-factor model (χ2(80)=178.34, p<.001; CFI=.87, TLI=.83, RMSEA=.07, SRMR=.08). Fourth, the NFCS-SF showed significant correlation with the measures of intolerance of uncertainty (r=.58, p<.01), depression (r=.16, p<.05), and anxiety (state anxiety, r=.31, p<.01; trait anxiety, r=.29, as well as the NFCS (r=.86, p<.01). Based on these findings, significance and limitations of the results as well as suggestions for further study are discussed.