• 대한가정학회지
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• 제30권3호
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• pp.193-204
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• 1992

The purpose of this article is (1) to measure the attitudes of health care consumers towards medical service, the physicians' duty to provide information and patient self-determination options, (2) to discover the their related variables. The attitude of health care consumers towards medical service reveals statistically significant corelation with age and education. Among the statistically significant independent variables it is significantly related with age in the multiple regression analysis. The attitude of health care consumers towards the physicians' duty to provide information reveals statistically significant corelation with age, education and the attitude of health care consumers towards medical service. Among these independent variables it is significantly related with the attitude of health care consumers towards medical service in the multiple regression analysis. The attitude of health care consumers towards patients' self-determination options reveals statistically significant corelation with age, the attitude of health care consumers towards medical service and the attitude of health care consumers towards the physicians' duty to provide information. Among these independent variables it is significantly related with the attitude of health care consumers towards the physicians' duty to provide information in the multiple regression analysis.

• 가정과삶의질연구
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• 제8권2호
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• pp.31-47
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• 1990

The purpose of this paper is to investigate the relationship between the married people's conflict level and coping behavior, and find out how independent variables(male or female, age, level of education, family income, religion, types of marriage, types of family) have an effect on two dependent variables. The research problems as follows: 1) How independent variables influence on the level of conflict. 2) How independent variables influence on the coping behavior 3) How related the level of conflict and th coping behavior. Two instruments wee administrated to 302 married man and woman in Seoul, in June, 1990 The first instrument, 25 items questionnaire, made by investigator, was developed based upon Lee Sun and Moon Sung Sun. The second instrument, 20 item questionnaire, based upon filed , and modified to be appropriate to Korean Culture, Data was analyzed by frequency, percentage, mean, t-test, F-test and pearson r. The results are summarized as follows; 1) Most husbands and wives how the middle level of conflict 2) Among independent variables, male or female(p<.05), level of education (p<.05), types of family (p<.05), were variables to have influence on the level of conflict. 3) Husbands and wives's coping behavior are relatively middle level. 4) Among independent variables, types of marriage(p<.05) was variable to have influence on the coping behavior. 5) There were very low positive correlation (r=.15, p<.01) between the level of conflict and the negative coping behavior, and very low negative correlation(r=-.21, p<.001) between the level of conflict and the positive coping behavior. Form this results, more objective methods and research are needed to develop the style of conflict and the coping behavior.

• 한국의류학회지
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• 제31권9_10
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• pp.1342-1351
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• 2007

Using a data set drawn from 1419 college students, this study analyzes what implications clothing or fashion has on self-expression or image management in Korean society and who are more likely to use fashion as a image management tool in the process of interacting with others. Employing Pierre Bourdieu's concept of capital, we discuss three theories concerning correspondence between class and fashion: the theory focusing on economic capital in emphasizing the correspondence; the theory focusing on cultural capital in emphasizing the correspondence and the theory emphasizing relationships between fashion and other factors rather than class. Based on the theoretical examination, we select independent variables that can be grouped into status/class variables, or economic capital variables(such as subjective status, income, father's education, father's occupation) and socio-cultural variables, or cultural capital variables(such as possession of cultural capital, desire for upward mobility). Upon regressing strategic use of fashion on independent variables, we find that both status/class variables and socio-cultural variables are statistically significant in explaining the strategic mobilization of fashion for one's image production or social success. It shows that class as a form of economic capital has important effects on the strategic use of fashion, and cultural capital also has effects independent of economic capital.

• Communications for Statistical Applications and Methods
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• 제26권3호
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• pp.261-272
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• 2019

In this paper, we propose a procedure to build a prediction interval of the sum of dependent binary random variables over a graph to account for the dependence among binary variables. Our main interest is to find a prediction interval of the weighted sum of dependent binary random variables indexed by a graph. This problem is motivated by the prediction problem of various elections including Korean National Assembly and US presidential election. Traditional and popular approaches to construct the prediction interval of the seats won by major parties are normal approximation by the CLT and Monte Carlo method by generating many independent Bernoulli random variables assuming that those binary random variables are independent and the success probabilities are known constants. However, in practice, the survey results (also the exit polls) on the election are random and hardly independent to each other. They are more often spatially correlated random variables. To take this into account, we suggest a spatial auto-regressive (AR) model for the surveyed success probabilities, and propose a residual based bootstrap procedure to construct the prediction interval of the sum of the binary outcomes. Finally, we apply the procedure to building the prediction intervals of the number of legislative seats won by each party from the exit poll data in the $19^{th}$ and $20^{th}$ Korea National Assembly elections.

• Journal of Information Technology Applications and Management
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• 제22권2호
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• Korean Journal of Mathematics
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• 제14권2호
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• pp.291-302
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• 2006

In this paper, we give sufficient conditions for a.s. convergence of weighted sums of integrable fuzzy random variables. As a result, we obtain strong laws of large numbers for weighted sums of independent fuzzy random variables.

• 한국정보시스템학회지:정보시스템연구
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• 제28권4호
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• pp.333-358
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• 2019

Purpose The study aims to develop a data-based decision model for private bankers when recommending hedge funds to their customers in financial institutions. Design/methodology/approach The independent variables are set in two groups. The independent variables of the first group are aggressive investors, active investors, and risk-neutral type investors. In the second group, variables considered by private bankers include customer propensity to invest, reliability, product subscription experience, professionalism, intimacy, and product understanding. A decision-making variable for a private banker is in recommending a first-rate general private fund composed of foreign and domestic FinTech products. These contain dependent variables that include target return rate(%), fund period (months), safeguard existence, underlying asset, and hedge fund name. Findings Based on the research results, there is a 94.4% accuracy in decision-making when the independent variables (customer rating, reliability, intimacy, product subscription experience, professionalism and product understanding) are used according to the following order of relevant dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on fund period, and step 4 on hedge fund name. Next, a 93.7% accuracy is expected when decision-making uses the following order of dependent variables: step 1 on safeguard existence, step 2 on target return rate, step 3 on underlying asset, and step 4 on fund period. In conclusion, a private banker conducts a decision making stage when recommending hedge funds to their customers. When examining a private banker's recommendations of hedge funds to a customer, independent variables influencing dependent variables are intimacy, product comprehension, and product subscription experience according to a categorical regression model and artificial neural network analysis model.

• 한국산업융합학회 논문집
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• 제5권1호
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• pp.33-38
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• 2002

This paper proposes an efficient method for improving the performance of polynomial adaline using the dimension reduction of independent variables. The adaptive principal component analysis is applied for reducing the dimension by extracting efficiently the features of the given independent variables. It can be solved the problems due to high dimensional input data in the polynomial adaline that the principal component analysis converts input data into set of statistically independent features. The proposed polynomial adaline has been applied to classify the patterns. The simulation results shows that the proposed polynomial adaline has better performances of the classification for test patterns, in comparison with those using the conventional polynomial adaline. Also, it is affected less by the scope of the smoothing factor.

• 아동학회지
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• 제9권1호
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• pp.63-80
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• 1988

The main purpose of this study was to investigate the relationships of children's creativity to field independence-dependence cognitive style and demographic variables at age 5. The subjects for the present study were 86 five-year-old boys and girls selected from two kindergartens in Seoul and their parents, who replied to the questionnaire about demographic variables. Children were tested in groups, with the Torrance tests of Creative Thinking-Figural, and individually with the Preschool Embedded Figures Test. The data were analyzed by one way ANOVA, t-test, and Pearson's product-moment correlations. Children's fluency and originality in creativity showed significant positive correlations with field dependent-independent cognitive style. There were no significant differences in creativity according to sex. There were significant differences in field dependent-independent cognitive style according to sex. The score of field independent cognitive style of boys were significantly higher than those of girls. Children's creativity showed low correlations with demographic variables.

• 드라이브 ㆍ 컨트롤
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• 제17권4호
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• pp.38-45
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• 2020

The purpose of this study was to analyze the design sensitivity of an independent driving system for disaster response. The research procedure was as follows. First, an analysis model based on the circuit diagram of the driving system was developed. Second, to ensure the reliability of the analytical model, the load-free test results and analysis results were compared. Even if different loads acted on four independent motors, the system was confirmed to be implemented according to the design intent. Finally, the design variables of the analysis model were analyzed to obtain design variables with a significant impact on system performance and stability. The analysis program used simulation X.