• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.1
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• pp.48-60
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• 1991

The purpose of this study is to analyze the pattern of human developmental growth with empirical anthropometric data for clothing construction. The sample was drawn randomly out of senior high school boys and girls in seoul urban area. The sample size was 424 boys and 301 girls between age 16 and 18. Dependent variables of this study were modified after extraction of common variables from raw data. 42 dependent variables were analyzed by the method of Duncan Test as Multiple Range Test among three age groups and T-Test between male and female of same age groups. The analysis of these data was carried with spss-x package by the computer installed in INHA University. The major findings can be summarized as follows. 1. In Duncan Test, female students between age 16 and 18 were not significantly different in the majority of dependent variables, but girth measurements and weight of 17 and 18 age groups were significantly different from that of 16 age groups. 2. In Duncan Test, male students were significantly different in the majority of the dependent variables, especially 33 variabls from 42 variables, among three age groups. 3. In T-Test, hip girth was only not significantly different between male and female and neck girth of the female students was only significantly larger than that of the male students.

• Communications of the Korean Mathematical Society
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• v.18 no.1
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• pp.117-126
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• 2003

Let {$X_{nk}$\mid$1\;{\leq}\;k\;{\leq}\;n,\;n\;{\geq}\;1$} be an array of row negatively associated (NA) random variables which satisfy $P($\mid$X_{nk}$\mid$\;>\;x)\;{\leq}\;P($\mid$X$\mid$\;>\;x)$. For weighed sums ${{\Sigma}_{k=1}}^{Tn}\;a_kX_{nk}$ indexed by random variables {$T_n$\mid$n\;{\geq}$1$}, we establish a general weak law of large numbers (WLLN) of the form $({{\Sigma}_{k=1}}^{Tn}\;a_kX_{nk}\;-\;v_{[nk]})\;/b_{[an]}$ under some suitable conditions, where $\{a_n$\mid$n\;\geq\;1\},\; \{b_n$\mid$n\;\geq\;1\}$ are sequences of constants with $a_n\;>\;0,\;0\;<\;b_n\;\rightarrow \;\infty,\;n\;{\geq}\;1$, and {$v_{an}$\mid$n\;{\geq}\;1$} is an array of random variables, and the symbol [x] denotes the greatest integer in x.

• Journal of the Korean Dietetic Association
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• v.12 no.3
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• pp.225-234
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• 2006

The purpose of this study was to identify the factors that related to obesity among 6th grade elementary school girls. The study subjects were 337 girls residing in Seoul. Not only variables of nutritional environment such as eating habits, health related behavioral variables, nutritional feeding methods during infancy, and genetic factors but also sexual maturity had been included as a obesity related factors. Association between obesity and related variables were analyzed by $x^2$(Chi-square) test. The obesity prevalence of the study subjects were 16% based on Röhrer Index(RI). Fifty-three percent of the study subjects experienced menarche at the time of data collection. Result of analysis showed that not only the nutritional enviromental variables such as eating habits, specific food preferences, and habit of exercise but also genetic factors did not show any statistically significant association with obesity. Above finding may imply that more variables other than the variables included in this study might have influenced on the obesity of the children. However sexual maturity in term of breast development showed significant association with obesity.

• Journal of Fisheries and Marine Sciences Education
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• v.21 no.2
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• pp.259-268
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• 2009

The purpose of this study was to find out the relationship among cellular phone addiction, depression, anxiety, and school life satisfaction by examining 284 elementary school students, especially the fifth and sixth graders in Gyeonggi province. This study was done by dividing two groups with top 25 percent and the lowest 25 percent of group(addicts' group vs. non-addicts' group), and 144 out of 284 elementary school students were used for this study. According to the survey, it turned out that the significant variables to predict the addiction are school life satisfaction, learning, classroom setting, and school events, including the top variables of anxiety and depression. And a further point is that relationship satisfaction, anxiety, depression, physical setting, and class satisfaction show how much students are addicted to cellular phone. Finally, this paper suggests the limitation and efficiency of the study compared to previous studies.

• Journal of Fisheries and Marine Sciences Education
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• v.19 no.1
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• pp.8-18
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• 2007

In order to define their relative influence, this study analyzed causal relationships between school adjustment of middle school students and such related variables as locus of control and stress, including clarification of other significant variables affecting school adjustment. Participants were a sample of 331 students from 3 middle schools in Busan. Correlation, analysis of covariance structure modeling, and model-fitness tests were applied to the data. Results indicated that stress on the school, home, social relationships, and self has the more significant influence on the school adjustment, and the locus of control has relatively low influence.

• Journal of Families and Better Life
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• v.17 no.1
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• pp.15-32
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• 1999

The objectives of this study are to examine the propensity of conspicuous consumption of adolescent consumers to investigate the effects of demographic variables socio-psychologival variables materialism on the conspicuous consumption of adolescent consumers. The survey of this research was conducted by means of self-administered questionnaire with 483 adolescent consumers attending middle school located in Inchon. Major findings are the following: (1) The propensity for conspicuous consumption of adolescent consumers averages 47.98 points. This score is beyound the middle slightly. (2) According to the results for examining the relative influences of variables affecting conspicuous consumption of adolescent consumers the relative importance stars school education the degree of taking in advertisement attitude of their parents self-esteem materialism gender and educational level of their father. Explanatory power of these variables totalled 70.5%.

• Journal of Families and Better Life
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• v.17 no.2
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• pp.121-136
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• 1999

The purpose of this study was to investigate the effect of parent-bonding patterns & environmental variables on rural adolescent's trait-anxiety. The main results were as follows. Frist mother had more affection and father had more overprotection in parent-bonding patterns. Trait-anxiety was the level of medium. Second home atmosphere home life satisfaction parents' scolding health conditions allowance satisfaction friendship the relationship with home teachers school life satisfaction and teacher's scolding were significnat variables on trait anxiety Third an analysis of parent-bonding relationship environmental variable and trait-anxiety showed that school life satisfaction family atmosphere friendship and health conditions were the most crucial environmental variable while father's care and mother's overprotection were the most crucial parent-bonding variables on rural adolescent's trait-anxiety.

• Computers and Concrete
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• v.16 no.4
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• pp.569-585
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• 2015

Various computational tools are available for modeling highly nonlinear structural engineering problems that lack a precise analytical theory or understanding of the phenomena involved. This paper adopts a fairly simple nonparametric adaptive regression algorithm known as multivariate adaptive regression splines (MARS) to model the nonlinear interactions between variables. The MARS method makes no specific assumptions about the underlying functional relationship between the input variables and the response. Details of MARS methodology and its associated procedures are introduced first, followed by a number of examples including three practical structural engineering problems. These examples indicate that accuracy of the MARS prediction approach. Additionally, MARS is able to assess the relative importance of the designed variables. As MARS explicitly defines the intervals for the input variables, the model enables engineers to have an insight and understanding of where significant changes in the data may occur. An example is also presented to demonstrate how the MARS developed model can be used to carry out structural reliability analysis.

• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.85-92
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• 2022

In previous private education expenses were concentrated only on expenses for elementary, middle, and high school students. Therefore, it is difficult to understand the actual condition of preschool children's private education expenses. To solve this problem, we analyze the 2013 and 2020 data of the Korea Welfare Panel to confirm the private education expenditures of pre-school children. Also, we examine the differences and changes in private education expenditures according to household variables. We selected the household variable as the socio-demographic variable of the study subject. We defined the household variable as the area and income of the household. We show the actual results of private education expenses for household variables using frequency analysis, descriptive statistical analysis, t-test, and one-way ANOVA of SPSS 27.

• Investigative Magnetic Resonance Imaging
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• v.23 no.2
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• pp.125-135
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• 2019

Purpose: The purpose of this study was to evaluate dynamic contrast-enhanced breast magnetic resonance imaging (DCE-MRI), and diffusion-weighted imaging (DWI) variables, for axillary lymph node (ALN) metastasis in the early stage of breast cancer. Materials and Methods: January 2011-April 2015, 787 patients with early stage of breast cancer were retrospectively reviewed. Only cases of invasive ductal carcinoma, were included in the patient population. Among them, 240 patients who underwent 3.0-T DCE-MRI, including DWI with b value 0 and $800s/mm^2$ were enrolled. MRI variables (adjacent vessel sign, whole-breast vascularity, initial enhancement pattern, quantitative kinetic parameters, signal enhancement ratio (SER), tumor apparent diffusion coefficient (ADC), peritumoral ADC, and peritumor-tumor ADC ratio) clinico-pathologic variables (age, T stage, multifocality, extensive intraductal carcinoma component (EIC), estrogen receptor, progesterone receptor, HER-2 status, Ki-67, molecular subtype, histologic grade, and nuclear grade) were compared between patients with axillary lymph node metastasis and those with no lymph node metastasis. Multivariate regression analysis was performed, to determine independent variables associated with ALN metastasis, and the area under the receiver operating characteristic curve (AUC), for predicting ALN metastasis was analyzed, for those variables. Results: On breast MRI, moderate or prominent ipsilateral whole-breast vascularity (moderate, odds ratio [OR] 3.45, 95% confidence interval [CI] 1.28-9.51 vs. prominent, OR = 15.59, 95% CI 2.52-96.46), SER (OR = 1.68, 95% CI 1.09-2.59), and peritumor-tumor ADC ratio (OR = 6.77, 95% CI 2.41-18.99), were independently associated with ALN metastasis. Among clinico-pathologic variables, HER-2 positivity was independently associated, with ALN metastasis (OR = 23.71, 95% CI 10.50-53.54). The AUC for combining selected MRI variables and clinico-pathologic variables, was higher than that of clinico-pathologic variables (P < 0.05). Conclusion: SER, moderate or prominent increased whole breast vascularity, and peritumor-tumor ADC ratio on breast MRI, are valuable in predicting ALN metastasis, in patients with early stage of breast cancer.