• Journal of the Korean Home Economics Association
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• v.49 no.1
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• Culinary science and hospitality research
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• v.13 no.1 s.32
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• pp.179-191
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• 2007

This paper aims to improve management and make the bakery business stable by investigating the difficulties in bakery management and the current management conditions of bakery businesses. Using Windows SPSS 11.0, the bottleneck in bakery management and its influence on sales and job satisfaction were analyzed. Besides, a regression analysis was conducted to investigate the effect of difficulties in bakery management on sales and job satisfaction. According to the analysis, a total of 44 variables were observed as the difficulties in bakery management. Among them, 34 variables were caused by 7 factors: facility, product, employee, finance, production, external advertisement. In the regression analysis, it has turned out that the difficulties in management had influence on sales dissatisfaction in facility, product, employee, finance, production, and external factors. Especially, employee factor turned out the most influential one on sales dissatisfaction. Furthermore, it has turned out that the bottleneck in management had influence on job dissatisfaction in all 7 factors. Above all, the external factor turned out the most influential one.

• Korean Journal of Health Education and Promotion
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• v.8 no.1
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• pp.87-97
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• 1991

The purpose of this study is to identify the important marriage variables influencing fertilty. The data on which this study is based was selected from the survey data which was nation-widely collected from 2,824 married women in 1989 as the Korean. Family Function Study performed by the Korea Institute for Population and Health. The data was analyzed by the methods such as Cross Tabulation, Pearson's Correlation, and Multiple Regression. And the data analysis was processed by SPSS. The results are as follows. 1. There are differences in fertility according to the socioeconomic factor. The higher the educational level of a married woman is the lower the fertility level. And if the decision of marriage was made by herself, the fertility level is significantly low. As the duration of living in a large city is longer and the educational level of her husband is higher, the fertility level is low. 2. There are differences is fertility according to the demographic factor. As the first marriage age of her and her husband, the fertility level was low. And when a couple doesn't live with the husband's parents and the size of a family is small, the fertility level is low. 3. Finally the factors affecting fertility were analyzed by the Stepwised Multiple Regression. The result shows that as the educational level of a married woman is higher, she herself decides the marriage, the first marriage level of her is higher, the size of a family is small, her husband is higher, the fertility level is low.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.15 no.8 s.101
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• pp.945-953
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• 2005

The purpose of this paper is to develop a linear regression model for the sound quality index of vehicle Interior noise. For this, objective measurement data of the vehicles driving in acceleration was measured. On the basis of analysis, psychoacoustic parameters were extracted and subjective evaluation was performed by noise and vibration expert evaluators. For the subjective evaluation, the paired comparisons and the semantic differential methods were used to evaluate sound quality of vehicle interior noise. By the paired comparison which evaluate two pairs of vehicle interior noise, the preference was estimated. With the semantic differential and the factor analysis, it was evaluated words of two pairs which expressed appropriately the sense of evaluator about noise source. Therefore the characteristics of the sound qualify for the vehicle were differentiated. From the results of both the correlation analysis and the multiple factor regression analysis, the sound quality evaluation model for the sense of human hearing was derived and indexed.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1149-1160
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• 2011

Model selection and hypothesis testing problems in Bayesian inference are still debated between scholars. Bayesian factors traditionally used as a criterion in Bayesian hypothesis testing and model selection, are easy to understand but sometimes hard to compute. In addition, there are other model selection criterions such as DIC(Deviance Information Criterion) by Spiegelhalter et al. (2002) and Bayesian P-values for testing. In this paper, we briefly introduce the Bayesian hypothesis testing and model selection procedure. In addition we have applied a Bayesian inference to Swiss banknote data by a fitting logistic regression model and computing several test statistics to see if they provide consistent results.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.16 no.2
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• pp.67-75
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• 2010

Purpose: The purpose of this is to identify the relationship among the age, body mass index(BMI) and exercise frequency(EF) with knee joint position sense in korean healthy women. Methods: Healthy women of 328 who participated in this study were tested knee joint position sense; reposition error was measured with a Myrin goniometer. Each reposition error was analyzed using descriptive statics, pearson correlation coefficients, and stepwise multiple regression. Results: The mean reposition error by age groups was significant decrease getting older. The mean reposition error by BMI groups was significant decrease getting higher. And the mean reposition error by EF groups was significant decrease getting lower. The knee joint position sense showed a significantly correlation with age(r=0.36, p=.00), BMI(r=0.34, p=.00) and EF(r=-0.50, p=.00). The most powerful predictor of knee joint position sense was EF. The reposition error according to stepwise multiple regression is $3.36+(-2.64){\times}EF+0.13{\times}age$, and account for 46%($R^2=0.46$) of the variance in the knee joint position sense. Conclusion: The older the women are, for prevent of knee injuries due to decreased joint position sense, regular exercise is essential factor.

• Journal of Fashion Business
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• v.13 no.5
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• pp.110-120
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• 2009

The goal of this study was to investigate the influence of customer service quality on customer satisfaction. Also the object of this study is to indicate the influence on word of mouth and intention of repurchase which is a variable of customer satisfaction. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data was analyzed by percentage, frequency, mean, factor analysis, reliability, regression using the SPSS program. The five hypotheses set in the research model, all were selected through empirical analysis. Main findings are as follows: As a result of factor analysis, customer service quality of discount store verified four items, that is, personal service, VMD of stores/atmosphere, store policy, product assortment. As a result of regression analysis, customer service quality influenced customer satisfaction. The intention of repurchase and word of mouth received a positive influence from customer satisfaction. The intention of repurchase influenced the word of mouth, and it received a positive influence from the word of mouth.

• International Journal of Highway Engineering
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• v.15 no.3
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• pp.93-101
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• 2013

PURPOSES : This study is to investigate the relationship of socioeconomic characteristics and road network structure with traffic growth patterns. The findings is to be used to tweak traffic forecast provided by traditional four step process using relevant socioeconomic and road network data. METHODS: Comprehensive statistical analysis is used to identify key explanatory variables using historical observations on traffic forecast, actual traffic counts and surrounding environments. Based on statistical results, a multiple regression model is developed to predict the effects of socioeconomic and road network attributes on traffic growth patterns. The validation of the proposed model is also performed using a different set of historical data. RESULTS : The statistical analysis results indicate that several socioeconomic characteristics and road network structure cleary affect the tendency of over- and under-estimation of road traffics. Among them, land use is a key factor which is revealed by a factor that traffic forecast for urban road tends to be under-estimated while rural road traffic prediction is generally over-estimated. The model application suggests that tweaking the traffic forecast using the proposed model can reduce the discrepancies between the predicted and actual traffic counts from 30.4% to 21.9%. CONCLUSIONS : Prediction of road traffic growth patterns based on surrounding socioeconomic and road network attributes can help develop the optimal strategy of road construction plan by enhancing reliability of traffic forecast as well as tendency of traffic growth.

• Fashion & Textile Research Journal
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• v.15 no.6
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• pp.923-931
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• 2013

The purpose of this study was to examine the effect of the type of masculinity on appearance-oriented and appearance management behavior. Questionnaires were administered to 201 males 20s to 50s living in Daegu. The SPSS 20.0 package was utilized for data analysis which included frequency analysis, Cronbach's ${\alpha}$, factor analysis, cluster analysis, regression analysis, t-test and logistic regression. First, factor analysis in a appearance management behavior and the type of masculinity, were cluster analysis in appearance-oriented. Were used to analyze the problem of the study by classified five factors and two groups. The results of this study were as follows: First, the masculinity of Retro sexual, Metro sexual, Techno sexual showed a negative influence on appearance-oriented. Second, the masculinity had a influence on appearance management behavior. M-ness showed a negative influence on skin care, Metro sexual showed a positive influence on skin care, hair/fashion, cosmetics, plastic surgery. And Retro sexual showed a influence on skin care, positive influence on hair/fashion, cosmetics. Techno sexual showed a positive influence on body management, skin care, hair/fashion. Uber sexual showed a positive influence on body management, cosmetics of appearance management. Third, the appearance-oriented had a differences on body management, hair/fashion, cosmetics, plastic surgery of appearance management behavior.

• Journal of Nutrition and Health
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• v.31 no.3
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• pp.354-362
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• 1998

The purposes of this study were to develop standardized indices of staffing needs in each school, foodservice system through work sampling methodology . Conventional school foodservices were classified into 5 groups depending on size of meals served. Commissary school foodservices were also classified into 5 groups by cluster analysis using number of meals served, number of satellite schools, and time for transportation of food. Work measurement through work sampling methodology was conducted in 15 conventional and 21 commissary foodservices during 3 consecutive days from September to October in 1995. Statistical data analysis was completed using the SAS programs for descriptive analysis, cluster analysis, and simple linear regression. The results were as follows : Average points of leveling factors of conventional and commissary foodservices were 1.066 and 1.061 , respectively. Mean labor hours per work force was 328 minutes and 366 minutes in conventional and commissary foodservice , respectively. Standardized work time was calculated using leveling factor, ILO allowance rate (175) , and observational work time. The model for standardized indices of staffing needs was developed based on simple linear regression in each school foodservice system. In conventional school foodservice systems(for 100-1,900 meals per day) standardized staffing needs=3.2497 +0.005267$\times$number of meals served (F=273.1, R-square 0.9750, p<0.001). In commissary school foodservice systems (for 200-1,600 meals per day ) Standardized staffing needs=3.393384 +0.0063$\times$number of meals served (F=30.78, R-square 0.6580, p<0.001).