• Korean Journal of Child Studies
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• v.32 no.3
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• pp.19-41
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• 2011

This paper was an examination of gender-specific behaviors in children and the types of bullying behavior among 1,181 fifth and sixth grade elementary schools student identified were then classified. Differences were identified in individual variables, family variables, and school variables. The data thus collected were subjected to descriptive and comparative statistical analysis using the SPSS software program. Our results showed that multiple discriminant analysis yielded a function of individual, family and school variables that proved effective in classifying bully, reinforcer, assistant, victim, outsider and defender types in boys. In girls, multiple discriminant analysis yielded a function of individual variables that was effective in classifying bully, reinforcer, assistant, victim, outsider and defender types.

• Journal of Mechanical Science and Technology
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• v.17 no.10
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• pp.1496-1506
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• 2003

The SIMP (solid isotropic material with penalization) approach is perhaps the most popular density variable relaxation method in topology optimization. This method has been very successful in many applications, but the optimization solution convergence can be improved when new variables, not the direct density variables, are used as the design variables. In this work, we newly propose S-shape functions mapping the original density variables nonlinearly to new design variables. The main role of S-shape function is to push intermediate densities to either lower or upper bounds. In particular, this method works well with nonlinear mathematical programming methods. A method of feasible directions is chosen as a nonlinear mathematical programming method in order to show the effects of the S-shape scaling function on the solution convergence.

• Journal of Family Resource Management and Policy Review
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• v.7 no.1
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• pp.103-118
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• 2003

This study is aimed to investigate Internet Addiction among youths who are main users of computers and internet and related variables. The survey was conducted to 520 students from middle and high schools on Jeju and analyzed catmod Regression. model was used to analyse the efficients of the independent variables on the three groups according to Internet addiction level. The major results of this study are as follows; First, By the viewpoint of Young's criteria, it revealed that most young people(68.5 ％) use the internet at the level of occasional problem-solution users. The percentage two groups of average on-line users and internet addicts were 27.3% and 4.2%, respectively. Second, the variables having significant effects on the of internet addiction group are gender, the number of brothers, adaptation to school life, mother's age, and family control of internet use. Third, the variables which have a significant effect on the of average internet users group referred to internet addicts group are gender, adaptation to school life, satisfaction with family life, average monthly household income, and the number of visits to private computer establishments.

• 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.

• Journal of Korean Home Economics Education Association
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• v.8 no.2
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• pp.15-28
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• 1996

The purpose of this study is to investigate the family life participation and to analysis its related variables focusing on comparisons of male and female in the secondary students. The questonaire included school environmental variables, family environmental variables, the preference degree of Home Economics, sex role attitudes and the family life participation. The participants were 600 middle and high school students but the final data used on this study were 559. For the statistical analysis of this study, fequency, mean, Cronbach’s ${\alpha}$ coefficient, one way ANOVA, t-test and multiple regression were calculated. The results of this study were summarized as follows；1) The degree of family life participation was a little higher than middle level. While the highest participation degree was family activities participation, the participation degree of household work, communication and decision-making, leisure activities were low. 2) The variables that influence on the family life participation were the level of living and preference degree of Home Economics for both male and female.

• Journal of Korean Academy of Nursing
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• v.41 no.2
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• pp.256-268
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• 2011

Purpose: The purpose of this study was to use meta-analysis to examine recent domestic articles related to attention deficit hyperactivity disorder (ADHD) in school-age children. Methods: After reviewing 213 articles published between 1990 and 2009 from and cited in RISS, KISS, and DBpia, the researchers identified 24 studies with 440 research variables that had appropriate data for methodological study. SPSS 17.0 program was used. The outcome variables were divided into five types: Inattention, hyperactive impulsive, intrinsic, extrinsic, and academic ability variables. Results: Effects size of overall core symptoms was 0.47 which is moderate level in terms of Cohen criteria and effects size of overall negative variables related ADHD was 0.27 which is small level. The most dominant variable related to ADHD was obtained from hyperactive-impulsive (0.70). Also academic ability (0.45), inattention (0.37), and intrinsic variables (0.29) had a small effect whereas extrinsic variables (0.13) had little effect on descriptive ADHD study. Conclusion: The results reveal that ADHD core symptoms have moderate effect size and peripheral negative variables related ADHD have small effect size. To improve the reliability of the meta-analysis results by minimizing publication bias, more intervention studies using appropriate study designs should be done.

• The Research Journal of the Costume Culture
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• v.7 no.6
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• pp.28-40
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• 1999

The purpose of this study was to understand the Korean teenagers\` clothing behavior through pointing out the factors that clothing behavior of teenagers that was initiated from the important reference group, TV stars. The subject of this study were 570 purposively selected students at female middle and high school students in Seoul. The results were as follows : 1. The clothing conformity to TV stars relating to demographic variables was influenced significantly by location and personal expense variable in the high school group. 2. The exhibition showed a more important role to the clothing conformity in middle school group than in high school group. 3. The clothing conformity to TV stars relating to the clothing related variables was significantly affected by self-confidence to clothing than clothing normative recognition, clothing risk recognition and degree of clothing importance regardless of groups. 4. The clothing conformity to TV stars relating to TV media variables was affected by TV media star identification variable in both groups. And in case of middle school group, interests in TV stars also had influence on the clothing conformity to TV stars. And in case of high school group, interests in TV had effect on the imitation to TV stars\` clothing. As middle school students tend to have self-identification about a particular person, TV media stars become the reference group for the adolescence to follow their clothing.

• Journal of the Korean Home Economics Association
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• v.44 no.4 s.218
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• pp.111-122
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• 2006

This study investigated different individual, family, friend and school variables that affect adolescents' deviant behaviors. The sample consisted of 897 eleventh grade adolescents. Statistics and methods used for the data analysis were Cronbach's alpha, two-way ANOVA, Pearson's correlation and hierarchical regression. The major results were as follows. Male and female students' deviant behaviors had a positive correlation with sensation seeking traits, deviant behaviors by peer groups, school maladjustment, and maltreatment-experiences from parents, but a negative correlation with communications with parents. In female students', deviant behaviors had a negative correlation with self-esteem. The important variables predicting deviant behaviors were deviant behaviors of peer groups, sensation seeking traits, emotional maltreatment-experience, kind of high-school and school maladjustment for male students, compared to deviant behaviors of peer groups, kind of high-school, sensation seeking traits and school maladjustment for female students'.

• Journal of the Korean Society for Library and Information Science
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• v.41 no.1
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• pp.165-184
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• 2007

The purpose of this study is to compare the job satisfaction of school library employees with independent variables. and to discern the variables that cause the greatest impact on job satisfaction. The study's 254 questionaries were collected from December 1, 2006 to December 31, 2006 from 327 school library employees. In this study, it is proved that there are differences between the job satisfaction of school library employees and independent variables: gender, the level of school library, length of service. and employment style. Tips for the inherent roles of school library media center were Provided based on inadequacies and other findings revealed through this study.

• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.4
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• pp.75-84
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• 2014

In this paper, we dealt with feature selection problem of large-scale and high-dimensional biological data such as omics data. For this problem, most of the previous approaches used simple score function to reduce the number of original variables and selected features from the small number of remained variables. In the case of methods that do not rely on filtering techniques, they do not consider the interactions between the variables, or generate approximate solutions to the simplified problem. Unlike them, by combining set covering and clustering techniques, we developed a new method that could deal with total number of variables and consider the combinatorial effects of variables for selecting good features. To demonstrate the efficacy and effectiveness of the method, we downloaded gene expression datasets from TCGA (The Cancer Genome Atlas) and compared our method with other algorithms including WEKA embeded feature selection algorithms. In the experimental results, we showed that our method could select high quality features for constructing more accurate classifiers than other feature selection algorithms.