• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.10
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• pp.1467-1477
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• 2002

This study was investigated physical properties of stretch fabrics by KES-FB system to show suitable basic data to making skirts of excellent capacity and develop more organized basic skirt pattern by fitness evaluation. 1. The results of T. H. V.(Total Hand Value) were as followa: In the kind of blending fiber, cotton/spandex was more excellent than nylon/spandex and polyester/spandex, in the direction of stretch, one-way(weft inserted polyurethan yarn) polyester/spandex and cotton/spandex were higher than two-way(warp and wet inserted polyurethan yarn) polyester/spandes and cotton/spandex, two-way nylon/spandex was higher than one-way nylon/spandex. 2. The results of calculating the variance between sample stretch fabrics and Japanese s/s women's suit fabrics after standardizing were as follows: Stretch fabrics has 2 range of tensile, bending, shearing, compression, surface, thickness and weight as compared with Jpanese s/s women's suit fabrics. In the tensile property, one-way stretch fabrics were almost the same with Japanese s/s women's suit fabrics, only two-way polyester/spandex had+1～+2 range. In the bending, shear property, there was no difference between sample fabrics and Japanese s/s women's suit fabrics 3. In the total fitness of the skirt, nylon/spandex is the best in the fabrics and one-way stretch fabric is better than two-way strethch fabric.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.1
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• pp.59-67
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• 1986

The purpose of this study was to identify the characteristics of fashion leaders in relation to attitude toward change and socioeconomic level among Dae Gu woman as well as among rural women living on the suburbs of Dae Gu: and to compare the characteristics of these urban women in a mass society with the rural women living in a traditional society. Measures selected for this study consisted of the Schrank Fashion Opinion Leadership Inventory(1973), the Schrank ana Sugawara Attitudes Toward Change Inventory(1977), and socioeconomic level. The fashion Innovation Inventory was developed by author which consisted of a list of clothing and accessory items selected after surveys to local stores, campus, and main streets, and study of fashion magazines for the current seasons. The data from 280 respondents were analyzed by Pearson corrleation coefficients, analysis of variance, and t-test. The results were as followers : 1) A significant relationship was found between fashion leadership and socioeconomic level for both urban and rural women. High attitude toward change was significantly related to high fashion innovativeness and high fashion opinion leadership among the urban groups. re significant relationship was found between fashion opinion leadership and attitude toward change among the rural sample. 2) A significant difference was found in attitude toward change scores of four urban sub-sample groups : fashion innovators, fashion opinion leaders, fashion innovative communicators(who exhibit high scores on both fashion innovativeness and fashion opinion leader-ship), and non-fashion innovative communicators. No significant difference was found in attitude toward change scores of four rural sub-sample groups. No significant differences were found in socioeconomic level of four sub-sample groups for both urban and rural women.

• Magazine of the Korean Society of Agricultural Engineers
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• v.22 no.3
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• pp.75-87
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• 1980

Most hydro]ogic phenomena are the complex and organic products of multiple causations like climatic and hydro-geological factors. A certain significant correlation on the run-off in river basin would be expected and foreseen in advance, and the effect of each these causual and associated factors (independant variables; present-month rainfall, previous-month run-off, evapotranspiration and relative humidity etc.) upon present-month run-off(dependent variable) may be determined by multiple regression analysis. Functions between independant and dependant variables should be treated repeatedly until satisfactory and optimal combination of independant variables can be obtained. Reliability of the estimated function should be tested according to the result of statistical criterion such as analysis of variance, coefficient of determination and significance-test of regression coefficients before first estimated multiple regression model in historical sequence is determined. But some error between observed and estimated run-off is still there. The error arises because the model used is an inadequate description of the system and because the data constituting the record represent only a sample from a population of monthly discharge observation, so that estimates of model parameter will be subject to sampling errors. Since this error which is a deviation from multiple regression plane cannot be explained by first estimated multiple regression equation, it can be considered as a random error governed by law of chance in nature. This unexplained variance by multiple regression equation can be solved by stochastic approach, that is, random error can be stochastically simulated by multiplying random normal variate to standard error of estimate. Finally hybrid model on estimation of monthly run-off in nonhistorical sequence can be determined by combining the determistic component of multiple regression equation and the stochastic component of random errors. Monthly run-off in Naju station in Yong-San river basin is estimated by multiple regression model and hybrid model. And some comparisons between observed and estimated run-off and between multiple regression model and already-existing estimation methods such as Gajiyama formula, tank model and Thomas-Fiering model are done. The results are as follows. (1) The optimal function to estimate monthly run-off in historical sequence is multiple linear regression equation in overall-month unit, that is; Qn=0.788Pn+0.130Qn-1-0.273En-0.1 About 85% of total variance of monthly runoff can be explained by multiple linear regression equation and its coefficient of determination (R2) is 0.843. This means we can estimate monthly runoff in historical sequence highly significantly with short data of observation by above mentioned equation. (2) The optimal function to estimate monthly runoff in nonhistorical sequence is hybrid model combined with multiple linear regression equation in overall-month unit and stochastic component, that is; Qn=0. 788Pn+0. l30Qn-1-0. 273En-0. 10+Sy.t The rest 15% of unexplained variance of monthly runoff can be explained by addition of stochastic process and a bit more reliable results of statistical characteristics of monthly runoff in non-historical sequence are derived. This estimated monthly runoff in non-historical sequence shows up the extraordinary value (maximum, minimum value) which is not appeared in the observed runoff as a random component. (3) "Frequency best fit coefficient" (R2f) of multiple linear regression equation is 0.847 which is the same value as Gaijyama's one. This implies that multiple linear regression equation and Gajiyama formula are theoretically rather reasonable functions.

• Korean Journal of Adult Nursing
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• v.13 no.2
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• pp.233-246
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• 2001

Spiritual health is an important indicator in the quality of life of patients with cancer. The purpose of this study was to validate a Spiritual Health Inventory (SHI) for patients with cancer developed by Highfield (1989). The SHI was translated into Korean, back-translated into English. The study sample was 96 patients with cancer. The data were collected from September, 1999 to February, 2000 for 6 months. Statistic analysis was done with the SPSS PC+ (Version 10.0) program: descriptive statistics, factor analysis, Pearson correlation coefficient, and one-way ANOVA. The results are as follows : 1. The reliability score was examined using Cronbach's ${\alpha}$ and found to be .79. 2. Construct validity was examined using factor analysis. Four factors were identified and named : (1) Peace of mind (19.1% of variance), (2) Hope (9.7%), (3) Self-esteem (6.4%), (4) Trust (6.0%). The total of 41.2 percent of the variance. 3. The Pearson correlation coefficient score of 4 factors was between r = .24~ .42. 4. SHI was identified as multidimension, that is (1) The relationship with GOD, as absolute being, (2) the relationship with others, (3) the relationship within oneself. 5. There were differences in response in items especially related to GOD. The following recommendations can be made on the above findings : 1. Replicate with a minimum sample of 150 and test for concurrent validity. 2. Since spirituality is a dynamic concept, longitudinal study is also necessary. 3. Concept analysis using a qualitative study based on religious preference is recommended. 4. The items such as 12, 13, 15, 17, 19, 22, 24, 26 indicated conceptual ambiguity for Korean populations and further study is needed on item deletion or new items.

• The Journal of Korean Physical Therapy
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• v.1 no.1
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• pp.63-72
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• 1989

The present study was designed to investigate the general characteristics of pain patients and to analyze the properties of Korean pain expression terms as a preliminary step in the development of a pain questionnaire. Questionnaires were administered to 73 adult patients (53 males, 20 females) with knee, ankle, neck, low back, and shoulder pain. The mean duration of pain was 16.2 months (SE=3.3). The results were as fellows : 1. The data show that there are over 30 words in the Korean language to describe the varieties of pain experience even within this small sample. 2, There was low significant relationship between present pain intensity using visual analogue scale and the selected numbers of pain words from the pain questionnaire (p<.01). 3. In order to separate basic factors, a principal component analysis with varimax rotation was performed. The principal component analysis produced 8 factors. The proportion of variance explained by these factors was $71.0\%$. The first factor accounting $26.8\%$ of the variance was labeled 'cruelty and fear related pain' ; second 'pain produced from deep tissue' : third 'skin-punctuating related pain' ; and fourth 'miscellaneous and complicated pain'. Results of this study might be utilitzed in developing a pain questionnaire for pain patients.

• 모자간호학회지
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• v.3 no.2
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• pp.85-94
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• 1993

The purpose of this study was to test the construct validity and reliability of the Health Self-Determinism Index for Children (HSDI-C), an instrument designed to measure intrinsic motivation in health behavior. An convenience sample of 558,7 to 13 years old children completed the Korean version of HSDI-C. The findings were as follows : 1. Construct validity was supported through factorial isolation of four theory-consistent subscales ; Internal-external cue responsive ness, Self-determinism in health judgement, Competency in health matters, and Self-determinism in health behavior /goal. The total percent of variance explained by 4 factors was 2 percent. 2. The correlations between the four factors were ranged from -.06 to .29 indicating that factors are not redundant and each factor contributes uniquely to the total construct. 3. Cronbach alpha coefficient for internal consistency was .96 for the total, and .72, .56, .69, and .75 on the respective subscales. Test-retest reliability for the total scale was .85 at 2 weeks. 4. The Analysis of variance for the HSDI-C total scale and subscales according to grades revealed that there were significant differences in means for the total and factor one and two, indicating younger children were more extrinsically motivated.

• The Korean Journal of Rehabilitation Nursing
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• v.10 no.2
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• pp.125-133
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• 2007

Purpose: The purpose of this study was to identify motivational factors that may influence health behaviors of patients with coronary artery disease. Methods: Structured questionnaires were used with a convenience sample of 164 subjects who were discharged from the hospital. The subjects were recruited for an interview at outpatient clinic in hospitals. The tools for the study were the motivational factors and health behaviors measure for the Elderly with cardiovascular disease. The data were analyzed using frequency, t-test, ANOVA, sheffe, Pearson correlation coefficient and stepwise multiple regressions. Results: There were significant correlations between motivational factors and health behaviors, ranging from r=.192 to .692. Stepwise multiple regression analyses indicated that 51% of variance in health behaviors was explained by self-efficacy and perceived benefits among four motivational factors(F=34.988, p<.01). Self-efficacy contributed the greatest amount of variance in health behaviors(${\beta}=.467$), followed by perceived benefits(${\beta}=.235$). Conclusions: The results of the study indicate that motivation, especially self-efficacy, was very important in predicting health behaviors of patients with coronary artery disease. Thus it would be necessary to include motivational factors in designing rehabilitation program for people with coronary artery disease.

• The Korean Journal of Applied Statistics
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• v.23 no.2
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• pp.325-333
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• 2010

Protection against disclosure of survey respondents' identifiable and/or sensitive information is a prerequisite for statistical agencies that release microdata files from their sample surveys. Coarsening is one of popular methods for protecting the confidentiality of the data. Grouped data can be released in the form of microdata or tabular data. Instead of releasing the data in a tabular form only, having microdata available to the public with interval codes with their representative values greatly enhances the utility of the data. It allows the researchers to compute covariance between the variables and build statistical models or to run a variety of statistical tests on the data. It may be conjectured that the variance of the interval data is lower that of the ungrouped data in the sense that the coarsened data do not have the within interval variance. This conjecture will be investigated using the uniform and triangular distributions. Traditionally, midpoint is used to represent all the values in an interval. This approach implicitly assumes that the data is uniformly distributed within each interval. However, this assumption may not hold, especially in the last interval of the economic data. In this paper, we will use three distributional assumptions - uniform, Pareto and lognormal distribution - in the last interval and use either midpoint or median for other intervals for wage and food costs of the Statistics Korea's 2006 Household Income and Expenditure Survey(HIES) data and compare these approaches in terms of the first two moments.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.49
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• pp.43-57
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• 1999

The recent trend is that risk management has more and more its importance. Neverthless, Korea's risk management is not developed. Even most banks does gap, duration in ALM for risk management, development and operation of VaR stressed at BIS have elementary level. In the case of Fallon and Pritsker, Marshall, gamma model is superior to delta model and Monte Carlo Simulation is improved at its result, as sample number is increased. And, nonparametric model is superior to parametric model. In the case of Korea's stock portfolio, VaR of Monte Carlo Simulation and Full Variance Covariance Model is less than that of Diagonal Model. The reason is that VaR of Full Variance Covariance Model is more precise than that of Diagonal Model. By the way, in the case of interest rate, result of monte carlo simulation is less than that of delta-gamma analysis on 95% confidence level. But, result of 99% is reversed. Therefore, result of which method is not dominated. It means two fact at forecast on volatility of stock and interest rate portfolio. First, in Delta-gamma method and Monte Carlo Simulation, assumption of distribution affects Value at Risk. Second, Value at Risk depends on test method. And, if option price is included, test results will have difference between the two. Therefore, If interest rate futures and option market is open, Korea's findings is supposed to like results of other advanced countries. And, every banks try to develop its internal model.

• Korean Journal of Adult Nursing
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• v.18 no.3
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• pp.457-467
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• 2006

Purpose: The purpose of this study was to identify the main factors influencing family functioning of caregivers in families with stroke. Method: A Convenient sample of 173 primary family caregivers who take care of a stroke patient at an Oriental medicine hospital in Jeonbuk. Interviews were done with a standardized questionnaire including family functioning by nurses. Results: In Pearson's correlation analysis, the influencing factors related to family functioning were ADL(p=.017), level of paralysis(p=.019) as stressors, Quality of relation(p=.000) as situational variables, and family caregivers' burden(p=.000). Stepwise multiple regression analysis showed 29.9% of the variance family functioning was significantly accounted for by the quality of relationship between stroke patient and caregiver(26.8%), and caregiver burden(3.1%). Conclusions: Findings indicate that families of stroke patients need family-focused nursing intervention as supported care to improve the relationship between patient and primary caregiver and relieve caregiver burden by culturally tailoring to Korean.