• Journal of the Korean Home Economics Association
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• v.36 no.8
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• pp.39-50
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• 1998

This study investigated the relationship between the types of parental abuse and maladjustmental behaviors of adolescents. The subjects were 448 junior and senior middle school students. Statistics were frequencies, percentile, Pearson's r-coefficient, and regression analysis. The main results of this study were as follows ; 1. There were significantly positive correlation between the types of parental abuse and maladjustmental behaviors. 2. The variables, neglect, unreasonable rearing behavior of the parents, and physical abuse were found to be the important variables in predicting social withdrawal. Neglect, unreasonable rearing behavior of the parents, and sex of the child were found to be the important variables in predicting hyperactivity. Neglect, emotional abuse, and unreasonable rearing behavior of the parents were found to be the important variables in predicting aggression. Sex of the child, emotional abuse, and unreasonable rearing behavior of the parents were found to be the important variables in predicting retreat. And, neglect and unreasonable rearing behavior of the parents were found to be important variables in predicting obsessive-compulsion.

• Fisheries and Aquatic Sciences
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• v.26 no.4
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• pp.268-281
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• 2023

Coral reef fisheries are prominent for the archipelagic countries' food sufficiency and security. Studies showed that fish abundance and biomass are affected by biophysical variables. The present study determines which biophysical variables are important predictors of fish diversity, abundance, and biomass. The study used available monitoring data from the Indonesian Research Center for Oceanography, the National Board for Research and Innovation. Data were collected from 245 transects in 19 locations distributed across the Indonesian Archipelago, including the eastern Indian Ocean, Sunda Shelf (Karimata Sea), Wallacea (Flores and Banda Seas), and the western Pacific Ocean. Principal component analysis and multiple regression model were administered to 13 biophysical metrics against 11 variables of coral reef fishes, i.e., diversity, abundance, and biomass of coral reef fishes at three trophic levels. The results showed for the first time that the covers of other fauna, coral rubbles, and soft corals were the three most important predictor variables for nearly all coral reef fish variables. Other fauna cover was the important predictor for all 11 coral reef fish variables. Coral rubble cover was the predictor for ten variables, but carnivore fish abundance. Soft coral cover was a good predictor for corallivore, carnivore, and targeted fishes. Despite important predictors for corallivore and carnivore fish variables, hard coral cover was not the critical predictor for herbivore fish variables. The other important predictor variables with a consistent pattern were dead coral covered with algae and rocks. Dead coral covered with algae was an important predictor for herbivore fishes, while the rock was good for only carnivore fishes.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.293-300
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• 2015

This study was to investigate if there are important variables of rural tourism destination for foreign tourists that discriminate rural tourism perception, experience, and intention to behavior. of the experience activity among the regions and the villages. From the literature review, the survey questionnaires was developed to measure important variables of rural tourism destination, rural tourism perception, experiences and intention to behavior. A total of 799 useful samples were collected and analyzed in SPSS. Factor analysis showed that there are four underlying dimensions (program, preparation to receive, service and regional products, and human service). the results of discriminate analysis showed that service and regional products are important variables in rural tourism perception and experiences. And also service and regional products and human service are important variables in intention to behavior. More detailed discussion and implications are provided in conclusion.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.755-760
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• 1999

In multivariate stratified sampling surveys it is general to use a few stratification variables which are highly correlated with the important variables at design stage. But there might be some secondary study variables which are not so highly correlated with those stratification variables. In that case it is not efficient to use the same type of estimator due to the secondary variables as the one base on the important variables. A post-stratified estimation is proposed to increase the efficiency of the estimator with existence of secondary variables. The proposed method is illustrated with a set of fishery household population survey data.

• Journal of Families and Better Life
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• v.24 no.5 s.83
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• pp.161-174
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• 2006

This study examined different individual and parental factors that affect children's achievement motivation. For an analysis, perceived competence, intrinsic locus of control were included in individual variables. For parental variables, parental support and achievement pressure and marital conflict were examined. The sample consisted of 561 fifth and sixth grade children. Statistics and methods used for the data analysis were Cronbach's alpha, Factor analysis, frequency, percentage, Pearson's correlation, and Hierarchical Regression. Several major results were found from the analysis. First, girl's achievement motivation was higher than boys. No age difference was found between fifth and sixth grade. Second, boy's and girl's achievement motivation had a positive correlation with perceived competence, intrinsic locus of control, parental support and achievement pressure but a negative correlation with parental marital conflict. Third, important variables predicting boy's and girl's achievement motivation were perceived academic competence, parental achievement pressure and perceived social competence. Important variables predicting boy's individual and social oriented achievement motivation were perceived academic competence and parental achievement pressure. On the other hand, important variables predicting girl's individual oriented achievement motivation were perceived social competence, perceived academic competence, intrinsic locus of control and parental achievement pressure. Important variables predicting girl's social oriented achievement motivation were parental achievement pressure, perceived academic competence and mother's support.

• Journal of the Korean Data and Information Science Society
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• v.24 no.1
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• pp.201-209
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• 2013

For censored regression, it is often the case that some input variables are not important, while some input variables are more important than others. We propose a novel algorithm for selecting such important input variables for censored kernel regression, which is based on the penalized regression with the weighted quadratic loss function for the censored data, where the weight is computed from the empirical survival function of the censoring variable. We employ the weighted version of ANOVA decomposition kernels to choose optimal subset of important input variables. Experimental results are then presented which indicate the performance of the proposed variable selection method.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.795-801
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• 2011

In machine learning and statistics it is often the case that some variables are not important, while some variables are more important than others. We propose a novel algorithm for selecting such relevant variables in the kernel Cox regression. We employ the weighted version of ANOVA decomposition kernels to choose optimal subset of relevant variables in the kernel Cox regression. Experimental results are then presented which indicate the performance of the proposed method.

• Journal of the Korean Home Economics Association
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• v.25 no.1
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• pp.105-119
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• 1987

The purpose of this study is to investigate the influences of demographic, personal and psychosocial variables on the wives' marital satisfaction in order to develop theories about the stablility of modern families. The data, collected from 490 mothers living in Seoul, is analyzed by statistical methods, such as Frequency Distribution, Pearson's Correlation, One-Way ANOVA, Scheffee-test and Multiple Regression Analysis. The major findings are as follows: 1) In my study, the Marital Satisfaction Scale consists of 7 dimensions; of which affective communication, problem-solving communication, and companionship are comparatively important variables. 2) Of demographic variables, wives' educational level is an influencing variable in 6 dimensions, and family monthly income, in general satisfaction. 3) Of personal variables, sex role attitude is a significantly influencing independent variable in satisfaction with children area and self actualization, variable in problem-solving communication area. 4) Of psychosocial variables, role enactment, role consensus, and role strain are proved to be influencing variables, but role salience is not. Also, role enactment is the most influencing independent variable in almost areas of marital satisfaction. 5) By given independent variables, variance is explained 30% of all. The implication that can be inferred from the above findings is that psychosocial variables are more important than demographic variables, and that personal variables such as androgyny, self-actualization should be encouraged to further research.

• Journal of the Korean Society of Clothing and Textiles
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• v.7 no.1
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• pp.45-52
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• 1983

The purpose of this study was to investigate the relationship between family values and selected clothing behavior variables for a group of college women in Seoul, Korea. The findings of this study were as follows: 1. A significant positive relationship was found between family values and selected clothing behaviors. There were significant relationship between the materialistic family and one clothing behavior variable: Interest. There were significant relationship between the social climber family and six clothing behavior variables: Aesthetic, Modesty, Interest, Comfort, Attention and Dependence. There were significant relationship between the conventional family and seven clothing behavior variables: Aesthetic, Modesty, Interest, Comfort, Management, Social approval and Dependence. 2. There were differences in four clothing behavior variables according to their grades: The seniors placed significantly more importance on Aesthetic, Interest, Management, Dependence than freshmen. 3. There were differences in five clothing behavior variables a?cording to their major fields. Human social course placed significantly most important on Management. Natural science course placed significantly most important on Modesty. Art course placed significantly most important on three clothing behavior variables: Interest, Attention and Dependence.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.2
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• pp.211-225
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• 1992

The purposes of this study were 1) to estimate the brand loyalty related to clothing items,2) to investigate the differences between the brand loyal group and the brand disloyal group in 4 determinant variables (product involvement, information source, purchase-related and demo- graphic variables) of brand loyalty, 3) to find out important determinant variables which explain the brand loyalty on clothing items, and 4) to identify product attributes that lead to brand loyalty on clothing items. Four clothing items selected (ortho study were underwear, jean / skirt, T-shirt / sweater, and formal dress / suits. The questionnaire was administered to 529 adult women living in Seoul, and the methods used to analyze the data were Frequency, T-Test, $x^{2}-test$, Factor Analysis and Multiple Discriminant Analysis. The results of this study were as follows: 1) Both behavior and attitude are needed for the measurement of brand loyalty in clothing. The hightes brand loyal item was formal dress / suits, followed by jean / skirt, T-shirt / sweater, underwear. 2) There were some significant differences between the brand loyal group and the brand disloyal group in 4 determinant variables of brand loyalty. 3) The important determinant variables of brand loyalty were perceived risk / brand differ-ence, purchase experience / self-confidence in purchase, and product symbolic / hedonic mean-ing, of which the most important varible was found to be perceived risk / brand difference. 4) The most important product attribute that lead to brand loyalty for underwear was comfort whereas for the other 3 clothing items, it was style. Quality was the second important productattributeforallclothingitems.