• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.431-442
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• 2002

The purpose of this study was to identify the importance of salesperson selling behavior such as salesperson's orientation, similarity with customers and expertise as well as the relationship benefits of salesperson. A total of 400 questionnaires were distributed to adults in Daegu-Kyongbuk area and 335 questionnaires were collected(84%) and 314 samples were used for the statistical analysis. The primary methods of the statistical analysis were factor analysis, confirmatory factor analysis, correlation and path analysis using LISREL 8. The results are as follows: First, clothings salesperson's customer-orientation(p < .10), expertise, similarity (p< .10) and salesperson's functional, social benefits showed positive relation with customer satisfaction. And salesperson's selling-orientation influenced customer satisfaction of salesperson negatively. In addition customer satisfaction of salesperson showed positive relation with salesperson loyalty and satisfaction of the stores. Second, the salesperson loyalty showed positive relation with store loyalty and word-of-mouth but showed negative relation with post-purchase information search. Customer satisfaction of stores showed negative relation with post-purchase information search but no meaningful relation with store loyalty and word-of-mouth.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.331-339
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• 2012

The study examined the moderating effects of the relationship among purchase motivation, satisfaction, and loyalty in a farmer-to-consumer direct market. Data were collected from 426 consumers of direct sale agricultural products who visited nine rural villages across the country. The SPSS 15.0 and LISREL 8.80 statistical package were used for frequency, reliability, exploratory factor, confirmatory factor, and path analysis. Results showed that 'product factor', 'experience factor' and 'economic factor' among purchase motivation had positive effects on satisfaction and satisfaction had positive effects on loyalty. The analysis also indicated that gender moderated the relationship among purchase motivation, satisfaction, and loyalty. Whereas product and economic factors among purchase motivations had positive effects on satisfaction in the male group, product and experience motivation were important factors for female group. These results could enable direct sales marketers to develop marketing techniques to expand farm sales.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.4
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• pp.740-749
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• 1997

The purpose of this study was to identify the effects of perceptual self-concept and evaluative self-concept (self-esteem) on the clothing behavior of college students. The subjects of this study were college students who were attended in Semyung University. For statistical analysis, factor analysis, 1-test, Pearson's correlation and two-way ANOVA were used. The results of this study were as follows: 1. Male students showed higher evaluative self.concept than female students. 2. Shopping motivation was varied according to self-concept especially in male students. And in fashion pursuit factor, sex and self-concept had the main effect and concurrently there was interaction. 3. Clothing interest was varied according to self-concept. About fashion interest, sex had the main effect and sex and self-concept showed the interaction. 4. Clothing satisfaction was changed according to self-concept. Self-concept showed the main effect in fashionable factor and practical factor, and sex and self-concept had interaction in fashionable factor.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.95-108
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• 2018

This study analyzed the body shape of the body of 17~19 years old female students using the SPSS 20.0 statistical program according to the 7th Korea Human Body Survey. Factor analysis was based on six factors including body size, body height, shoulder length, and width, upper body length, hip length, and shoulder inclination related factors. Through this cluster analysis, the body shape of late adolescent female student was classified into four types. Body type 1 was the highest body height factor, and the upper body length and the hip length factor were lower. It was analyzed as 'Long leg in the body'. Body type 2 is the 'narrow shoulder skinny type' with high hip and shoulder slope factors and low body size, body height, shoulder length, and width factor. Body type 3 showed body size, shoulder length, height and hip length factor, and body height factor was rather low 'low hip obese body shape'. Body type 4 was analyzed as 'lower shoulder long upper body type' with higher upper body length factor and lower body size and shoulder slope factor. It is thought that when the pattern is made, it is possible to produce excellent patterns by fitting the dimensions of the body, as well as the dimensions of the shoulder width, the slope, and the hip length.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.11
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• pp.1487-1499
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• 2007

In this study, photographs of 600 Korean females aged from 20 to 50years old were indirectly measured in Venus face 2D program. The measurements were analyzed by statistical methods. The purpose of this study was to differentiate the facial types of adult women for the beauty industry. As a result of factor analysis, 6 factors were selected the key factors of facial shape: head height(factor 1), head width(factor 2), side face width(factor 3), head width and circumference(factor 4), face length(factor 5), and side face width(factor 6). We categorized facial type into 5 groups with the previous 6 factor. 5 types were most common facial shapes: Oblong face(type 1), Square face(type 2), Oval face(type 3), Round face(type 4), Triangle face(type 5). The results of facial type analysis were showed that Round face(26.6%), Triangle face(25.3%), Oval face(22.3%), Square face(20.0%), Oblong face(5.7%).

• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.2
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• pp.69-81
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• 2020

The objective of this study is to seek ways to maximize learning effects from e-learning by drawing improvement directions through investigating and analyzing an awareness of e-learning among e-learning attendees. The study was conducted among the attendees who are taking the e-learning program operated by K University and collected data from the students taking second semester in 2018 with the use of structured questionnaires. For data processing, SPSS Statistics 22.0 and AMOS were used, along with such analytical methods as frequency anslysis, descriptive statistical analysis, ANOVA (Analysis of Variance), t-analysis and cross tabulation. For significant data, it conducted an analysis by carrying out the Scheffe's test. According to the findings from this study, they showed a significant difference only in gender and curriculum desired to be opened in the question about e-learning participation motives per background factor. As for the learners' motives to study, it was confirmed that they tend to become more biased on time utilization and convenience of learning methods. The analysis of which factor of the three - learning factors, system factors and instructor's factors - has greatest effects on learning satisfaction indicated that learning factors influenced learning satisfaction the most in accordance with values for non-standard coefficient beta, followed by instructor factors which had a direct effect.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.33 no.1
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• pp.1-5
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• 2020

In this study, the objective is to improve the criteria used for statistical comparison of the VLF tanδ (TD) database and failure rate according to water-tree degradation in underground distribution power cables. The aging condition of the KEPCO criteria is divided into 6 levels using the Weibull distribution, and the "failure imminent" condition is quantified by using the statistical end-point of the lifetime parameter of the VLF big-data group obtained from KEPCO. Moreover, new criteria with a 2-dimensional combination of TD, DTD, and a statistical normalized factor are suggested. These criteria exhibit high reproducibility for the detection of cables in an imminent failure state. Consequently, it is expected that the adoption of the extended VLF-2019 criteria will reduce the asset management cost of cable replacement compared to the VLF-2012 criteria of KEPCO.

• Communications for Statistical Applications and Methods
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• v.29 no.5
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• pp.547-559
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• 2022

For a chi-squared test, which is a statistical method used to test the independence of a contingency table of two factors, the expected frequency of each cell must be greater than 5. The percentage of cells with an expected frequency below 5 must be less than 20% of all cells. However, there are many cases in which the regional expected frequency is below 5 in general small area studies. Even in large-scale surveys, it is difficult to forecast the expected frequency to be greater than 5 when there is small area estimation with subgroup analysis. Another statistical method to test independence is to use the Bayes factor, but since there is a high ratio of data dependency due to the nature of the Bayesian approach, the low expected frequency tends to decrease the precision of the test results. To overcome these limitations, we will borrow information from areas with similar characteristics and pool the data statistically to propose a pooled Bayes test of independence in target areas. Jo et al. (2021) suggested hierarchical Bayesian pooling models for small area estimation of categorical data, and we will introduce the pooled Bayes factors calculated by expanding their restricted pooling model. We applied the pooled Bayes factors using bone mineral density and body mass index data from the Third National Health and Nutrition Examination Survey conducted in the United States and compared them with chi-squared tests often used in tests of independence.

• Fire Science and Engineering
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• v.28 no.2
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• pp.69-75
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• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Journal of Technologic Dentistry
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• v.33 no.3
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• pp.227-236
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• 2011

Purpose: The purpose of this study was to reduce the remake rate of dental prosthesis. We examined remake cause and major factor of dental prosthesis to determine methods for raising dental prosthesis satisfaction. Methods: Subjects included dental technicians in the metropolitan areas of the cities of Daegu and Gyeong-buk. Surveys were filled out by consenting dental technicians. Statistical analysis was done using SPSS version 19.0 for Windows. We determined frequencies and percentage, calculating means, and standard deviations, and determining statistical significance using t-tests, analysis of variance. Results: Impression or material transform is high among remake cause and margin is high among remake major factor. Crown class showed differences in General characteristics associated with age, number of employees, and number of connection dental. Porcelain class showed differences in General characteristics associated with age, number of employees, and number of connection dental. Denture class showed differences in General characteristics associated with age, monthly salaray, and career. Implant class showed differences in General characteristics associated with age, education, and career. Conclusion: In order to reduce remake rate of dental prosthesis, communication of dentist, dental technician, and the patient are require and correct information of patient and dental prosthesis are need.