• Journal of Korean Society of Industrial and Systems Engineering
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• v.19 no.39
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• pp.37-46
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• 1996

The purpose of this study is to increase the economical efficiency and the efficiency of MIS user's attitudes. It hypothesized that an attitudes of users are different from an environmental variables and demographic variables of an organization. So, it selected attitude variables as moderating variables. The sample in this study is the management staff of financial industries only, and the data are selected by field study using a questionnaire. The hypotheses adopted were analyzed statistically by t-test and ANOVA etc.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.13 no.5
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• pp.364-374
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• 2003

The performance of an acoustic transducer is determined by the effects of many design variables. and mostly the influences of these design variables are not linearly independent of each other To achieve the optimal performance of an acoustic transducer, we must consider the cross-coupled effects of the design variables. In this study with the FEM. we analyzed the variation of the resonance frequency and sound pressure of a flextensional transducer in relation to Its design variables. Through statistical multiple regression analysis of the results, we derived functional forms of the resonance frequency and sound pressure in terms of the design variables, and with which we determined the optimal structure of the transducer by means of a constrained optimization technique, SQP-PD. The proposed method can reflect all the cross-coupled effects of multiple design variables, and can be utilized to the design of general acoustic transducers.

• The Korean Journal of Applied Statistics
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• v.28 no.3
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• pp.385-392
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• 2015

Principal component analysis (PCA), a dimension-reduction technique, is usually implemented after the variables are standardized when the measurement unit of variables are different. To standardize a variable we divide it by its standard deviation. But there is another way to transform a variable to be independent of its measurement unit. It is to divide it by its mean rather than standard deviation. Implementing PCA on standardized variables is equivalent to implementing PCA with a correlation matrix of original variables. Similarly, implementing PCA on the transformed variables divided by their means is equivalent to implementing PCA with a matrix related to the coefficients of variation of the original variables. We explain why we need to implement PCA on the variables transformed by their means.

• Journal of the Korean Home Economics Association
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• v.48 no.5
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• pp.119-128
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• 2010

The purpose of this study investigated the effects of personal variables(gender, grade, self-esteem, and depression) and family variables(economical level, marital conflict, and parenting behaviors) on the children's school adjustment(school interest, academic achievement, observance of school regulation, and friend relationship) of children in divorced families. The participants were 165 children in divorced families(73 boys and 92 girls). The results were as follows. First, children's school interest was affected by depression, self-esteem and grade. Second, children's academic achievement was affected by depression and grade. Third, children's observance of school regulation was affected by gender, grade, self-esteem, and parenting behaviors. Fourth, children's friend relationship was affected by depression, parenting behaviors, self-esteem, and gender. Fifth, children's school adjustment was more influenced on children's personal variables than children's family variables.

• Design & Manufacturing
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• v.16 no.3
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• pp.50-57
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• 2022

The qualities of the products produced by injection molding are strongly influenced by the process variables of the injection molding machine set by the engineer. It is very difficult to predict the qualities of the injection molded product considering the stochastic nature of the manufacturing process, since the processing conditions have a complex impact on the quality of the injection molded product. It is recognized that the artificial neural network(ANN) is capable of mapping the intricate relationship between the input and output variables very accurately, therefore, many studies are being conducted to predict the relationship between the results of the product and the process variables using ANN. However in the condition of a small number of data sets, the predicting performance and robustness of the ANN model could be reduced due to too many input variables. In the present study, the ANN model that predicts the length of the injection molded product for multiple combinations of process variables was developed. And the accuracy of each ANN model was compared for 8 process variables and 4 important process inputs that were determined by the feature selection. Based on the comparison, it was verified that the performance of the ANN model increased when only 4 important variables were applied.

• Journal of Korean Academy of Nursing
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• v.44 no.2
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• pp.179-188
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• 2014

Purpose: This study was done to construct and test a structural model to explain health risk behavior of late adolescents. Methods: Data for this study were secondary data from the 2010 Korea Adolescent Health Survey based and 3,675 high school students who participated. Data were analyzed using SPSS 18.0 and AMOS 19.0 programs. Results: After 7 lines were removed, fitness statistics for the hypothetical model were appropriate (${\chi}^2$=559.13, p<.001, GFI=.98, SRMR=.03, RMSEA=.04, NFI=.88, IFI=.90, CFI=.90, TLI=.86, AIC=671.13). The result showed that drinking-smoking is directly affected by 5 variables (32.5%), obesity is directly affected by 2 variables (0.7%), lack of physical activity is directly affected by 5 variables (22.2%), skipping of breakfast is directly affected by 3 variables (11.9%), improper sleep is directly affected by 3 variables (7.5%), and psychological adaptation is directly affected by 4 variables (26.8%). Conclusion: The results of this study, indicate that late adolescents' health risk behavior is affected by many factors with complicate correlations suggesting further study compare youth health risk behaviors in a variety of environments.

• Korean Journal of Human Ecology
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• v.23 no.4
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• pp.633-652
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• 2014

The purpose of this study was to investigate the effect of personality traits of the middle aged on quality of life while mediated by self-concepts such as self-efficacy and self-derogation, as well as while moderated by subjective socio-economic variables such as economic status, social activities and employment. To verify the conceptual causality model and moderating effects of contextual variables, we analysed 353 cases out of purposively collected 400 cases from a medium sized city. As results, first, conscientiousness of personality traits positively affected quality of life of the middle aged while mediated by self-concepts. Second, neuroticism of personality traits negatively affected quality of life while mediated by self-concepts. Third, agreeableness of personality traits did not eventually affect quality of life, although affected negatively on self-efficacy and positively on self-derogation. Fourth, socio-economic variables such as economic status, social activities and employment moderated various paths in the model, which indicated dynamics of internal variables were affected by contextual variables.

• Korean Journal of Human Ecology
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• v.1 no.1
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• pp.85-95
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• 1992

The purpose of this research was to find out the most explainable variables influencing fashion leadership. This research was carried out by both the theoretical and empirical study. For the theoretical study, the research of fashion leadership was based on the fashion opinion leadership and innovativeness. The study included the analysis of variables influencing fashion leadership, such as clothing importance, clothing conformity, clothing anticonformity, perceived risk of clothing, use of fashion information source and demographic variables. For the empirical study, fashion leadership was measured by fashion opinion leadership and innovativeness. The variables influencing on the fashion leadership were measured by self-image, social participation, clothing behaviors(clothing importance, normative conformity, identificational conformity, clothing anticonformity, clothing independance), demographic variables(major fields of students, year of education, family income). Data were obtained from 335 female college and university students in Chung-Buk area by self-administered questionaire. The data collected through the questionaire were analyzed by the stastical thechique-stepwise regression. The results of the study were as follow: 44.6 percent of the total variance of fashion leadership was explained by the five variables: Clothing importance, use of marketer-dominated fashion information source, identificational conformity, traditional-modern self image and clothing anticonformity. Family income and the major fields of students are significantly related to the fashion leadership.

• Korean Journal of Child Studies
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• v.8 no.1
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• pp.83-112
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• 1987

This study examined the characteristics of the relationship of home environment variables and children's intellectual ability. Two studies were conducted: Study I examined the predictability of home environment variables for children's intellectual ability by children's age and the correlations between environment variables and children's intellectual ability. Study II investigated causal relationships among the variables which are supposed to affect children's intellectual ability. The subjects of this study were 240 children at age four, six and eight attending nursery schools, kindergartens and elementary schools and their mothers. Instruments included the Inventory of Home Stimulation (HOME), inventory of sociodemographic variables, and the K-Binet scale. The results obtained from this study were as follows: 1) Home environment variables had a significant positive correlation (.36 ~ .78) with children's intellectual ability. 2) The home environmental variables that significantly predicted children's intellectual ability differed according to children's age. That is, play materials, breadth of experience, and quality of language environment were predictive of children's intellectual ability at age four, while parent's education, developmental stimulation, and play materials were predictive at age six. Economic status of the home, need gratification, avoidance of restriction, and emotional climate were predictive at age eight. 3) The causal model of home environment affecting children's intellectual ability was formulated by exogenous variables (parent education and economic status of the home) and by endogenous variables (direct stimulation, indirect stimulation and the emotional climate of the home). 4) The results of the analysis of the causal model showed that the kind of variables that affected children's intellectual ability directly differed according to children's age. That is, direct stimulation and parent's education affected children's intellectual ability directly at age four and six, while the economic status of the home and indirect stimulation affected intellectual ability directly at age eight. The amount of variance that explained children's intellectual ability increased with increase in children's age.

• Proceedings of the Safety Management and Science Conference
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• 2005.11a
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• pp.377-381
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• 2005

This paper discusses the features of the ANSI/ASQ Z1.9-2003, Sampling Procedures and Tables for Inspection by Variables. This system is based on the MIL-STD-414.