• Korean Journal of Child Studies
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• v.4
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• pp.1-10
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• 1983

This study examined the characteristics of the relationship of home environment variables and preschool children's intelligence, learning readiness and socio-emotional developments. The subjects of this study were 63 children at age five and their mothers. Instruments included the children's intelligence test, preschool inventory for learning readiness, the socio-emtional rating scale and the inventory of HOME. The data of the present study were analyzed by the statistical methods of Pearson's product-moment correlation coefficient and step-wise multiple regression analysis. The kinds of HOME variables that significantly predict children's intelligence were "need gratification and avoidance of restriction" "quality of language environment" "play materials" "aspects of physical environment" "organization of stable and predictable environment". The variables that significantly predict children's socio-emotional developments were "breath of experience" "fostering maturity and independence" "developmental stimulation". All of the HOME variables were not significantly predict children's learning readiness. The kinds of HOME factors that significantly predict children's intelligence were factor II and factor III. Factor I predicted children's socio-emotional developments significantly. All of the HOME factors were not significantly predicted children's learning readiness.

• Journal of the Korean Home Economics Association
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• v.40 no.5
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• pp.225-235
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• 2002

The purpose of this research is to delineate the effect of maternal variables of the verbal abuse. 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 firs/second grade of middle school, and their mothers. The major findings of the research are as follows: first, looking at the correlation between the mother's age/education level and the verbal abuse, the verbal abuse factor shows difference correlating to the mother's age/education level. Second, looking at the correlation between the material parenting stress level and the verbal abuse, the verbal abuse factor shows difference correlating to the maternal parenting stress level. Third, the result of multiple regression analysis on the effects of the maternal variables to the verbal abuse indicates that material parenting stress is the significant contributing factor. All in all, the maternal variables account for 9% of the verbal abuse score.

• Knowledge Management Research
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• v.9 no.1
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• pp.1-21
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• 2008

The present study investigatesthe reliability and validity of the innovation leadership scale. Originally the seven factors with 25 items were developed through literature review. With a sample of 177 employees in a large company, the results of factor analyses showed that the five-factor model with 14 items had a better fit to the data than the seven-factor model. These five factors were innovativeness pursue, problem solving, vision presentation, risk-taking, and showing initiative. All of these factors were significantly related to various criteria such as identification with the group, attachment to the group, organizational commitment, and supervisor satisfaction, confirming criterion-related validity of the scale. Results of multiple regression analyses showedthat risk taking and showing initiative were more important predictors in explaining criteria. Finally, implications and limitations were discussed. The findings suggest that the key factors of innovation leadership were initiative and risk-taking.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.6
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• pp.772-782
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• 2005

The purpose of this study was to identify important factors influencing fragrance sensibility responses as well as to explore fragrance sensibility factors affecting attitude toward and buying intention of perfume products. For data collection, smelling experiments were conducted with seven groups of 34 female consumers who are aged from the 20's to 40's. Data were analyzed by ANOVA, t-test, factor analysis, and linear regression analysis. In results, five factors (pleasant, romantic, stimulating, modem, familiar factors) were generated from the factor analysis of 24 fragrance sensibility factors. These fragrance sensibility factors significantly affected both attitude toward and buying intention of perfume products. Pleasant, romantic and familiar factors were considered as important factors affecting attitude and buying intention while the stimulating factor affected only buying intention. Fragrance sensibility factors influencing attitude and buying intention of perfume products differed in terms of age and purchase level of consumers.

• Communications for Statistical Applications and Methods
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• v.13 no.1
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• pp.113-123
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• 2006

Normal mixture model(NMM) frequently used to cluster genes on microarray gene expression data. In this paper some of component means of NMM are modelled by a linear regression model so that its design matrix presents the pattern between sample classes in microarray matrix. This modelling for the component means by given design matrices certainly has an advantage that we can lead the clusters that are previously designed. However, it suffers from 'overfitting' problem because in practice genes often are highly dimensional. This problem also arises when the NMM restricted by the linear model for component-means is fitted. To cope with this problem, in this paper, the use of the factor analyzer NMM restricted by linear model is proposed to cluster genes. Also several design matrices which are useful for clustering genes are provided.

• Proceedings of the Korean Nuclear Society Conference
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• 1997.10a
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• pp.540-545
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• 1997

An analytical and experimental investigation has been performed on the heated length-to-diameter effect on critical heat flux for fixed exit conditions. A L/D correction factor is developed by applying artificial neural network and conventional regression techniques to the KAIST CHF data base. In addition, experiment is being performed to validate the developed L/D correction factor with independent data. Assessment shows that the developed correction factor is promising for practical applications.

• Journal of Korean Society for Atmospheric Environment
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• v.9 no.E
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• pp.358-363
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• 1993

Total particulate mater (TPM), $NO_2$ and $NH_3$ were measured simultaneously in the smoking and non-smoking locations during an eleven month period from March 1986 to January 1987 at three sites in Chicago : Illinois Institute of Technology Cafeteria, Rush-Presbyterian St. Lukes Medical Center Cafeteria and a downtown office building. From this study, the mean concentrations of $NO_2$ and $NH_3$ were not significantly different between the smoking and non-smoking locations at any sampling site ; however, there was a statistical difference for TPM between the smoking and non-smoking locations. Activity factor was useful for describing the contribution from indoor source. The linear regression analysis was reasonable method for discriminating the individual contribution of source to determine the emission factor. The TPM emission factor determined from this technique was in good agreement with value from the literature.

• Fashion & Textile Research Journal
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• v.3 no.3
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• pp.204-210
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• 2001

The purpose of the study is to clarify red image in the modem fashion. 40 kinds of costume samples being visual power in red have been selected from photographs in fashion magazines and divided into tones: pale (Vp, Lgr, L), bright (P, B), vivid (S, B, Dp), dark (Gr, Dl, Dgr, Dk). The study was measured by using Semantic Differential method. The subjects were 50 students majoring in clothing and textile. The data were analyzed by factor analysis, ANOVA, discrimminant analysis, MDS and regression analysis. The results of analysis are as follow; 1. Factor analysis has extracted 5 factors of red image in the fashion. These factor are Attractiveness, Hardness and Softness, Emotion, Attention, Simplicity. 2. There were significant difference in visual evaluation of red tones. 3. The discrimination among 4 red tones was related to attention and weight of red. 4. Evaluative dimensions of red was classified as Soft-Hard, Lively-Decent. 5. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.

• Fashion & Textile Research Journal
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• v.1 no.1
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• pp.18-25
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• 1999

The purpose of this study was to identify the relationship between clothing involvement and fashion leadership of early adolescents. A questionnaire was administered to 232 9th grade students living in Taegu during April of 1998. Data were analyzed by using Factor analysis, Correlation, t-tests, ANOVA, Scheffe test, and Regression analysis. Clothing involvements were factor analyzed resulting five factors such as interest, importance, fashionability, symbolism, and risk perception. Four factors except risk perception factor were used in data analysis. Four clothing involvement factors showed highly positive relations with total clothing involvement. Interest, importance, and fashionability factors showed highly positive relationship each other. Fashionability and interest factors had effect on fashion leadership. Female adolescents were more concerned about clothing interests than male. Adolescents who were high clothing-interested and fashion-oriented purchased more clothing items. Adolescents who showed high clothing involvements such as interest, importance, and fashionability paid much more on purchasing clothes.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.970-981
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• 2002

The purpose of the study is to clarify orange image in the modern fashion. So kinds of costume sample being visual power in orange have been selected from photographs in fashion magazines and divided into the tones : mist(Vp, Lgr, L), bright(P, B), vivid(S, V, Dp). The study was measured by using 27 semantic differential hi-polar scales. The subjects were 50 female students majoring in clothing and textiles, The data was analyzed using the statistical SPSS package. The data were collected using self-administred questionnaires and analyzed by Cronbach $\alpha$, Factor analysis, MDS, ANOVA Sheff test and Regression analysis. The major findings of this research were as follows. 1. Factor analysis has extracted 4 factors of orange image in the fashion. These factor are Attractiveness, Audacity, Hardness and Softness, Cuteness. 2. There were significant difference in visual evaluation of tones. 3. The discrimination among tones was related to cuteness and weight of orange. 4. The image effect on Preference, Buying needs, Pleasant and Riches was consist of complicated sensibility.