This study intended to investigate the concept of Clothing Involvement and Brand and to provide useful basic data for building on affective brand strategy. The purpose of this study is as follows: first, It is to measure the result of Brand Extension attitudes and Brand Extension items by clothing involvement (high involvement/low involvement). Second, It is to classify the factors of Clothing Involvement which suggested in theoretical research and to clarify correlation between clothing involvement factor and brand evaluation, brand extension attitudes. Third, It is to investigate the affect that clothing involvement, demographic variable and brand type on Brand Extension Evaluation. Subjects of this study were the adult women in Seoul, who were extracted by sampling randomly during the fall of 1995. Questionnaire was used as major method of gathering data. They were analyzed by the SAS method such as Frequency, Anova, Duncan, Correlation, multiple regression, Factor analysis. Main result of this study were as follows : 1. In brand extension attitude evaluation by high-involve group and low-involve group, quality, reputation and buying intension of brand extension attitudes showed significant difference. B brand extension attitudes and items of high-involve group was high compare to low-involve stoup. High-involve group evaluated watch, underwear, shoes and stocking of extension items highly, and there is no involvement difference of perfume, parasol, cushion. 2. In order to classify the dimension of Clothing Involvement, it was carried out factor analysis. 1 found that Clothing Involvement was composed of 4 factors, namely, interest - fashion.perceived risk symbolism. Correlation between clothing involvement and brand extension attitude was as followed; Interest factor of clothing involvement was correlated the existing brand attitude. Brand preference of the existing brand attitude was related the image of brand extension attitude, interest of advertising was the quality and the reputation-image was the buying intension. 3. For evaluation of a factor influenced on Brand Extension, it was produced multiple -regression test. Demographic variables and brand types had some influence of Clothing Involvement and Clothing Involvement had on brand extension. 27% of interest, 26% of symbolism was explained by brand types and 15% of fashion, 6% of perceived risk was explained by brand types, demographic variables. And, 10% of brand extension was explained by interest, fashion and symbolism.
This research seeks to examine the relationship between multicultural education experiences and the multicultural acceptability of military officers. The sample included 552 Republic of Korea Army officers and non-commissioned officers(NCOs) who were located in Gangwon-Do and Gyeonggi-Do. For the statistical analysis, SPSS 18.0 was used to perform descriptive statistical analysis, frequency analysis, differential verification, and multiple regression analysis. The major analysis results are as follows: First, The multicultural acceptability of the military officers and NCOs, including sub-factors, was above the mean level; in terms of the ranking per sub-factor, the scores were in the order of diversity, relationship, and universality. The experience frequency of the targets and the evaluation was lowest in the educational experience within the military, and the evaluations were in the order of public media, school, and military. Second, The differential verification, depending on the characteristics of the sociology of the population and the existence of the multicultural educational experience, showed that the duration of education(personal factor), marital status(family factor), existence of a foreign relative(family factor), and existence of experience of managing multicultural personnel as soldiers under command(military-related factor) showed a significant difference in multicultural acceptability. Additionally, the existence of multicultural education through schools and public media lead to a significant difference in multicultural acceptability, but the existence of education within the military did not lead to a significant difference. Third, The analysis of the influencing relationship through multiple regression analysis showed that the higher the evaluation of multicultural education through the military, school, and public media, the higher the multicultural acceptability.Therefore, this research proposes multicultural educational plans that may improve the multicultural acceptability of military officers and NCOs as a way to establish a multicultural composition in the army.
This study was intended to identify the main factors responsible for the decline in purchase of imported agricultural and fish products after Japan's nuclear power plant accident in 2011 and to compare the effects on imported agricultural produce and imported fish products. Logit model and multiple regression model analyses were performed using consumers' survey data. Psychological and qualitative factors reflecting consumers' food safety awareness and purchasing preferences, which were extracted by Factor analysis, were included as the models' explanatory variables, along with socio-demographic and economic factors. The Logit estimation showed aged, married, and low-income households had significantly higher probability of reducing their purchases of imported agricultural and fish products. However, the multiple regression results pointed out that the actual rate of decrease of imported agricultural and fish products purchases were more significantly affected by non-socio demographic factors such as past experience of purchasing imported agricultural and fish products, future intention to purchasing Japanese agricultural and fish products, and the ratio of imported to domestic agricultural and fish products before the nuclear accident, as well as consumers' feeling of food insecurity and their purchasing preferences. Moreover, the results showed that Korean consumers have reacted more sensitively to the decline in imported fish products than imported agricultural produce after the nuclear accident based on the marginal effects of various socio-demographic and economic factors.
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.
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.
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.
The purpose of this research is to delineate the effect of maternal variables of the children's depression. Such variables as the mother's age, her education level and maternal parenting stress have been chosen for the analysis. The sample subject were 659 pairs of fifth/sixth grade of elementary school and first/second grade of middle school and their mothers. The data were analyzed frequency, percentage, factor analysis, Cronbach's alpha, ANOVA, Pearson's correlation, and stepwise multiple regression analysis. The major findings of the research are as follows : First, the children's depression is significantly related to mother's education level but the children's depression is not significantly related to mother's age. Second, parenting stress related to temperament, relationship and learning expectation is significantly related to children's depression. Third, the result of step multiple regression analysis on the effects of the maternal variables to the children's depression indicates that maternal parenting stress related to temperament, relationship and mother education level are the significant contributing factor. All in all, the maternal variables account for 7% of the children's depression score.
The purpose of this study is to examine the stress level and factors percepted by the married women during family life, and to identify the related variables influencing on stress level. For this purpose, questionnaires were distributed to the 650 married women who have been living in seoul. Among them 463 data were selected. For data analysis, the statistical method such as the factor analysis frequency distribution percentile , t-test, ANOVA, Duncan's Multiple Range Test and Stepwise Regression Analysis were used. the major findings were summarized as follows; 1) The general tendancy of the stress level percepted by the married women during family life was relatively low. 2) The household background variables(age, level of education, income, type of family, number of children, status of employment ) have turned out to be significant on the stress level of married women except family type. 3) All the social-psychological variables(socio-economic status, communication interaction, resources perception, psychological satisfaction) showed significant differences according to the stress level percepted by the married women during family life. 4) The level of work identity was the important factor on the stress level percepted by the married women during family life. 5) In Stepwise Multiple Regression Analysis, the married women's stress level during family life was greatly influenced by variables such as the resource perception and the psychological satisfaction.
The purpose of this study was to find factors affecting satisfaction and intention to re-purchase fashion goods through social commerce. A questionnaire method was applied for 123 women aged from twenties to thirties, with buying experience in fashion goods through social commerce. Independent variables were service quality, fashion shopping orientation, and demographics. Factor analyses and multiple regression methods were used to analyze data. Factor analyses resulted in two factors for service quality and resulted in four factors for fashion shopping orientation. The results of multiple regression analyses showed that convenience & benefits and site layout factors of the service quality had significant impacts on satisfaction in fashion social commerce. Those two service quality factors, demographics like job, and satisfaction were shown significantly important to predict intention to re-purchase fashion goods on social commerce service. Intention to re-purchase was best explained in the model with satisfaction as an independent variable. Meanwhile, shopping orientation factors were not important in any model.
The subjects were 349 high school boys and girls who were 10th and 11th graders in Seoul, Korea. Statistical analysis included percentages, means, Pearson correlation coefficient, ANOVA, t-test, and stepwise multiple regression analysis. As a result, there were positive correlations between social support, stress reduction and increases in health behavior. Stepwise multiple regression analysis of social support, stress, and adolescents health behavior showed that social support explained 26.3% of the variance in health behavior, The more social support subjects experienced more health behavior level and the less the correlated stress level. In the area of demographic attributes, gender, height, weight, grade level, socioeconomic level of the parents, and stress were significantly correlated, grade levels, religion, socioeconomic level of parents and social support. sibling order, religion, socioeconomic level of the parents, parents education, occupation of father. and health behavior were statistically significant The findings indicated stress was a negative factor in health behavior, and social support was a positive factor in reducing stress and promoting health behavior. To reduce adolescents stress and to promote health behavior, we should endeavor to develop realistic social support programs.
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