• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2717-2726
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• 2013

This study was conducted in order to analyze the theories behind external protective factors. In particular, it sought to understand the influence of adolescent resilience on learning motivation. Students of a public high school located in Gyeonggi Province participated in various questionnaires during the week of March 5th, 2013. Frequency analysis, one-way ANOVA (analysis of variance), correlation analysis, and multiple regression analysis were utilized to analyze the acquired data. The results revealed that when family relationships were strong and local community expectations were high, the students' 'attention to implementation processes,' one aspect of intrinsic motivation to learn, was also high. 'Suitable levels of adventurousness and risk-taking,' another aspect of intrinsic motivation to learn, was high when school expectations were also high and when relationships at the school level were weaker. The study results verified that the theory that intrinsic motivation to learn can be enhanced by strengthening external factors to protect adolescent resilience. This study is significant in that it establishes theoretical grounds to address adolescent issues, to develop programs to prevent school dropouts, and to apply the results to future legislative policies.

• Journal of the Korean Society for Nondestructive Testing
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• v.23 no.3
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• pp.254-262
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• 2003

In this study, acoustic emission (AE) signals due to surface cracking and moisture movement in the flat-sawn boards of oak (Quercus Variablilis) during drying under the ambient conditions were analyzed and classified using the principal component analysis. The AE signals corresponding to surface cracking showed higher in peak amplitude and peak frequency, and shorter in rise time than those corresponding to moisture movement. To reduce the multicollinearity among AE features and to extract the significant AE parameters, correlation analysis was performed. Over 99% of the variance of AE parameters could be accounted for by the first to the fourth principal components. The classification feasibility and success rate were investigated in terms of two statistical classifiers having six independent variables (AE parameters) and six principal components. As a result, the statistical classifier having AE parameters showed the success rate of 70.0%. The statistical classifier having principal components showed the success rate of 87.5% which was considerably than that of the statistical classifier having AE parameters.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.797-810
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• 2023

The shape of the male beard to be examined in this study was set as a mustache. This study used frequency analysis and cross-tab analysis to conduct T-test and one-way variance analysis using 300 final responses from the questionnaire that presented preference and non-preference reasons and demographic characteristics along with preference and non-preference options to measure the likability of whiskers. As a result of the study, there were differences in men's preference and non-preference for each beard formulation, and the level of difference was statistically significant between the male and female groups and the age group. In addition, it was found that each group category showed a difference in the reasons for judging likes/dislikes by beard form. There are differences in preference and non-preference according to men's beard formations, and it was confirmed that there are various differences according to perceptual characteristics in the main reasons for favorability and dislike, which are the basis for judgment. Through these results, academic and practical implications were presented in the field of beauty.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.147-157
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• 2018

Alzheimer's disease has the significant factors for the both specific and characteristic features according to the disease progressing that are the volumetry and surface area by the brain hippocampus shrinking and thinning. However, we have suggested a shape analysis to calculate the variance by the roughness, coarseness or uneven surface on 3D MR images. For the reasons we have presented two methods: the first method is the distance calculation from major axis to edge points and the second method is the distance calculation from centroidal point to edge points on a coronal plane. Then we selected the shortest distance and the longest distance in each slice and analyzed the ANOVA and average distances. Consequently we obtained the available and great results by the longest distance of the axial and centroidal point. The results of average distances were 44.85(AD), 45.04(MCI) and 49.31(NC) from the axial points and 39.30(AD), 39.58(MCI) and 44.78(NC) from centroidal points respectively. Finally the distance variations for the easily recognized visualization were shown by the color mapping. This research could be provided an indicator of biomarkers that make diagnosis and prognosis the Alzheimer's diseases in the future.

• Journal of the Korean Society of Propulsion Engineers
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• v.20 no.6
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• pp.29-37
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• 2016

This paper proposes a shape optimization of the metal boss for a composite motor case using finite element analysis. For the structural safety and the weight reduction of the composite motor case, under the internal pressure, the fiber stress in the dome area and the tightening bolt stress are constrained and the boss weight is set to objective function, respectively. The response surface models are constructed for the performance characteristics by using response surface method. The significance of the design variables about the performance characteristics is evaluated through the ANOVA(analysis of variance) and the goodness of fit test for the constructed model is performed through the regression analysis. The SQP(sequential quadratic programming) algorithm is used for the optimization and the proposed method is verified by performing structural analysis for the optimum shape.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.665-676
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• 2022

The e-commerce had been expanding in the distribution channels, recently. Then, COVID-19 and social distancing rules led to a surge of online hypermarkets volume. In this study, we examined workplace environments of delivery drivers, firstly. Second, this study was also designed to examine the influencing factors of the perceived working environments change on the job satisfaction, dealing with the recent surge of work. We analyzed 324 data using various ways like descriptive statistics, one-way analysis of variance, factor analysis, and hierarchical regression analysis. The analysis revealed that their job satisfaction was lower than the average score and their working time was too long. In addition, the changes of the workplace environments were divided into labor intensity change and working condition change, which all had a significant effect on job satisfaction. So we should devise some long-term and short-term plans to make the level of job satisfaction among delivery drivers high on workplace environments.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.4
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• pp.503-514
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• 1998

The purpose of this study was to develop a large representative data base for jeans marketing strategy This study was to survey brand features(launching year, launching company, design concept, sales volume, and price zone) in the current market, and was to examine brand awareness and it's relationship to segmented distribution regions, demo- graphic variables(sex, age, monthly household income, and seasonal clothing expenditure). This study was also to analyze brand image and consumer's seeking image. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test and paired-t test was used. The results are as follows: 1. Brand awareness involves "brand recall" based on asking a person to name the brand recalled first, and "brand recognition" based on asking to identify brand name from 30 given brands. The result of recall brand test indicated that Levi's was dominant brand. People recognized about 70.8% of brands on the average. Brand recognition was influenced by segmented distribution region and demographic variables. 2. There was significantly positive relationship between brand recognition and purchasing behavior. 3. National brands were more recognized than Licensed brands. 4. The result showed that "Nix" was best represented for sophisticated brand image, "Strom" for characteristic, "Jambangee" for resonable price, and "Levi's" for classic '||'&'||' comfortable brand image. 5. As a result of factor analysis on consumer's seeking image, six factors(characteristic, young, intelligent/sexy, comfortable, exotic and popular) were found. Several factors had a relationship with preferred design, demographic variables, fashion interest, and brand recognition. variables, fashion interest, and brand recognition.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.913-923
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• 2013

The purpose of this study was to provide a basis for the efficient and systematic management of the school physical education classes and to investigate the influence of sports club participation in school physical education classes. Three male and female middle school students by taking advantage of the simple random sampling method based on the D Metropolitan final 438 were selected for the study. The collected data, exploratory factor analysis, analysis of variance, correlation analysis, regression analysis was performed using the SPSS 20.0 program. The differences were most similar to the sports clubs and school physical education classes, according to the characteristics of personal satisfaction. The sports club activities, was affecting school physical education classes.

• Korean Journal of Food Science and Technology
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• v.46 no.3
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• pp.352-357
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• 2014

In this study, 100 consumers (men, 50; women, 50; age group, 20-50 years) rated their overall preferences for 24 Korean raspberry wines by using a 9-point hedonic scale. The analysis of variance was constructed to evaluate the effect of gender, age, and samples on the preference scores of the wine products. Significant differences were observed in overall preferences for the 24 samples; however, no interactions based on preferences by age and gender groups were noted. Cluster analysis was performed to determine sample clustering based on the frequencies from the preference data. Three clusters were obtained; these three clusters were well separated based on the mean overall preference scores for the samples. Discriminant analysis based on the three clusters also confirmed the same grouping of samples with 100% accuracy.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1075-1083
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• 2009

The scientific research method went through construction of hypothesis and collection of data by experiment or observation and abstracting the hypothesis based on the experience which uses the data. The statistical methodology plays an important role in this process. The method which acquires a data becomes an initial process of abstraction and a survey research using structured questionnaires is a basic tool. After the data is acquired, the high-class statistical techniques such as the regression analysis and the linear structural equation model are used to abstract a hypothesis. By the way, from time to time the concepts which have become abstractive do not help us to understand an actual phenomena, rather it is need to extract some knowledge from questions themselves. In this article, we review the well known statistical methods providing the ways of finding core questions which possibly answer a researcher wants to know. We deal with course evaluation data as an example and try to set up the strategy for improving course evaluation.