• Hwankyungkyoyuk
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• v.7 no.1
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• pp.106-122
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• 1994

The purpose of this study to investigate the awareness of environmental management knowledge and behavior and the effect of independent variables (The environmental management behavior of housewives are composed of five activities-clothing, eating, housing, buying, family management. The independent variables are composed of objective variable and subjective variable). The Research Questions are as follows; 1. Are there significant differences in the housewife's awareness of the environmental management knowledge according to the objective variable and the subjective variable? 2. How much are the effects of related variables on the awareness of environmental management knowledge? 3. Are there significant differences in the housewife's environmental management behavior according to objective variable and subjective variable and awareness of environmental management knowledge? 4. How much are effects of related variables on the housewife's environmental management behavior? For these purpose, a theoretical framework was developed by literature review and applied to empirical test. The data was collected through the questionnaire those respondents were 477 housewives in seoul. It was analyzed by various statistical methods such as Frequency. Percentile, GLM, F-test, T-test, Duncan's Multiple Range Test, Pearson's Correlations Analysis Simple Regression Analysis, and Multiple Regression Analysis. The results of this research are as follows; 1. The awareness of environmental management knowledge had significant differences according to the variables such as housewife's age, husband's job, family number, education experience of environment, frequencies of contracting mass media, the perceived adequacy of resources, social-altruistic orientation. 2. Among all of these variables affecting the awareness of environmental management knowledge, the perceived adequacy of resources had the highest effects and the next were family number, social-altruistic, type of residence in order. 3. Total Environmental management behavior of housewives had significant differences according to the variables such of environment, frequencies of contracting mass media, the satisfaction of household labor, the perceived adequacy of resources, biospheric orientation, social-altruistic orientation, egoism orientation, the awareness of environmental management knowledge. The clothing, eating, housing, family management behavior had the high level, the buying management behavior had the average level. The clothing, eating, housing, buying, family management behavior had significant differences according to the variables such as the satisfaction of household labor, the perceived adequacy of resources, biospheric orientation, social-altruistic orientation, egoism orientation, the awareness of environmental management knowledge. In particular, the clothing, eating, housing, buying management behavior had significant differences according to the variables such as education experience of environment. And the housing, buying management behavior had significant differences according to the variables such as frequencies of contracting mass media. 4. Among all of theses variables affecting environmental management behavior, the most influence variables was awareness of environmental management knowledge and the next were influence of housewife's job, biospheric orientation, the satisfaction of household labor, education experience of environment, frequencies of contraction mass media, egoism orientation in order. Among all of theses variables effecting the clothing, eating, housing, buying management behavior the variables affecting the family management behavior, the most influences variables was housewife's job. In the result of analysing the housewife's environmental management behavior and awareness of environmental management knowledge, influences of education experience of environment had the highest effect and frequencies of contracting mass media may more influencial than other variables. And Concrete and systematic knowledge and technique of environmental education is requisite. The result of this study could be attributed to develop the efficient environmental information. More emphasis should be given to environmental education and a long range environmental policy. in particular, environmental education be effectively related to environmental behavior, life-education and systematic support must be provided. In addition, further study of environmental problem is needed for and application of various theoretical approaches and research method.

• Therapeutic Science for Rehabilitation
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• v.10 no.2
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• pp.95-108
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• 2021

Objective : This study aimed to develop prototypes of "smart stacking cones" by combining ICT to evaluate and train the upper extremity function and dual task performance in patients with central nervous system impairment, and to identify the complementary point to the completion of the device through a usability test. Methods : This prototype comprised of a hardware and software system that enabled the evaluation and training of patients and the management of data obtained from patients' performance. Specific measurement variables were established so that patient performance could be measured correctly. Based on the measurement variables, a the prototype included a 'single task evaluation modes', 'dual task evaluation mode', 'single task training mode', and 'dual task training modes'. Additionally, a usability test was conducted to assess clinical applicability and overall satisfaction for the prototype. Results : The results of the usability test were generally found to be appropriate. The 'content adequacy' in the usability test was the area with the highest level of adequacy and the lowest level of inadequacy. Additionally, overall 'satisfaction' in the usability test was the area with the highest appropriate and inappropriate levels. Hence, the overall satisfaction results were unstable. Conclusion : Future studies should be conducted to identify the clinical effectiveness of the device by applying an upgraded smart stacking cone to an actual patient group.

• Journal of the Korean Statistical Society
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• v.29 no.2
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• pp.201-217
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• 2000

The method of generalized estimating equations (GEE) has become very popular for the analysis of longitudinal data. We extend this work to the use of M-estimators; the resultant regression estimates are robust to heavy tailed errors and to outliers. The proposed method does not require correct specification of the dependence structure between observation, and allows for heterogeneity of the error. However, an estimate of the dependence structure may be incorporated, and if it is correct this guarantees a higher efficiency for the regression estimators. A goodness-of-fit test for checking the adequacy of the assumed M-estimation regression model is also provided. Simulation studies are conducted to show the finite-sample performance of the new methods. The proposed methods are applied to a real-life data set.

• Magazine of the Korean Society of Agricultural Engineers
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• v.44 no.6
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• pp.49-60
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• 2002

This study was conducted to estimate the design flood by the determination of best fitting order of LH-moments of the annual maximum series at six and nine watersheds in Korea and Australia, respectively. Adequacy for flood flow data was confirmed by the tests of independence, homogeneity, and outliers. Gumbel (GUM), Generalized Extreme Value (GEV), Generalized Pareto (GPA), and Generalized Logistic (GLO) distributions were applied to get the best fitting frequency distribution for flood flow data. Theoretical bases of L, L1, L2, L3 and L4-moments were derived to estimate the parameters of 4 distributions. L, L1, L2, L3 and L4-moment ratio diagrams (LH-moments ratio diagram) were developed in this study. GEV distribution for the flood flow data of the applied watersheds was confirmed as the best one among others by the LH-moments ratio diagram and Kolmogorov-Smirnov test. Best fitting order of LH-moments will be derived by the confidence analysis of estimated design flood in the second report of this study.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.287-300
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• 1997

The purpose of this study was to explore the degree of the stress from the family resources management according to objective resources and to investigate the relative importance of the variables which affect the stress from the family resources management in housewives. The subjects of this study were 565 married women who lived in apartment in Taegu. A questionnaire was used as survey method. The data was analyzed by means of factor analysis, t-test, ANOVA, Scheffe test and multiple regression analysis. The main findings were as follows First there was significant difference in the degree of the stress from the family resources management according to the objective resource. Second, the stress from the family resources management were more affected by perceived adequacy resource, the passive coping style, size of apartment than other variables.

• Journal of the Korea institute for structural maintenance and inspection
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• v.2 no.1
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• pp.129-135
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• 1998

The characteristic of load-distribution is investigated by using nonlinear analysis with a field loading test of existing bridge In this study, nonlinear load-distribution technique for quantitative analysis was adopted. The results were compared with linear solution technique with data from failure test at existing RCT-girder bridge and examine the adequacy of the failure mode. The results of this study showed that the linear solution technique and the proposed nonlinear solution technique agreed well in linear region but did not matched well in nonlinear region because of load-redistribution, and that the effect of load-redistribution was considered to analysis of nonlinear region by linear solution.

• Journal of Gifted/Talented Education
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• v.15 no.1
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• pp.67-84
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• 2005

In this study we investigated the adequacy of tools for distinction gifted students through the comparison these mutual relation on the basis of data, like paper test, the depths interview score, and the rest data((TTCT: Torrance Tests of Creative Thinking, IQ test, FASP: Find A Shape Puzzle, V.T: Visualization Tests and Exp: experimental ability test), and analysis data of EEG test for examining the adequacy of tools for identification gifted students. So, we developed Brain Wave gifted Index(G-Index) for finding another distinction ability as using brain waves data. The standard of index development use gifted brain characteristic in closed-eyes rest state which is judged like that characteristic of distinction between gifted and normal students is the most clear and consistence. That is, the degree of unified pattern between each object and gifted PCA pattern was defined by Pearson method which added spatial mutual index to weight concept. This refer to mean number of spatial PCA pattern. Searching for the possibility of distinction gifted gave distinction effect in 76%. The result of regression analysis on the basis of mutual relation between the rest data is . The probability formula for distinct gifted group is as follow. $$P=\frac 1{1+e^{-[-0.018(TTCT)+0.057(IQ)+1.916(FASP)+0.682(V.T)+0.088(Exp.)+0.034(G-Index)-57.510]}}$$ The result of this calculation showed that probability for distinct in gifted group was very good(95.0%). On the basis of upper result, tools for identification gifted students should be estimated as using many-sided estimation data whatever possible. And following study about development, and operation of tools for distinction suitable to gifted student in science should be progressed.

• International Journal of Highway Engineering
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• v.17 no.3
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• pp.27-33
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• 2015

PURPOSES : To ensure appropriate RCC properties with sufficient strength development and workability, it is necessary to secure a proper level of consistency. It is also necessary to secure maximum dry density, which is an important factor for increasing the interaction of aggregate interlocking, leading to an augmentation of RCC strength. On the other hand, the dry density of RCC can be changed owing to the compaction conditions, water content, and particle size distribution. A Proctor test and a modified Proctor test were used for determining the optimum water content needed to achieve maximum dry density with different amounts of compaction energy. A Vebe test, on the other hand, was used for checking the level of consistency, which is important for producing a workable mixture. METHODS : To confirm the degree of compaction at various particle sizes, RCC mixtures with different sand/aggregate ratios were evaluated. The Proctor test and modified Proctor test were applied to these mixtures to check the effect of the aggregate gradation and compaction energy on the maximum dry density and optimum water content. During each test, three specimens were produced for all types of water content under each aggregate gradation. A compaction curve and the optimum water content and maximum dry density for each aggregate gradation were then obtained for both tests. The range of water content for the appropriate consistency of each aggregate gradation was determined through a Vebe test. The optimum water content was then evaluated based on this range. RESULTS : The compaction test results show that the modified Proctor test provides a higher maximum dry density and lower optimum water content compared with the standard Proctor test. For the modified Proctor test, two cases of aggregate gradation (s/a = 30% and 70%) had the optimum water contents outside of the appropriate water content range. For the standard Proctor test, on the other hand, none of aggregate gradations provided the optimum water content within the desired range. CONCLUSIONS : The modified Proctor test should be used for an RCC mixture design because it can provide adequacy between maximum dry density and consistency. Moreover, the compaction roller has become highly developed for higher compaction energy.

• Journal of the Korean Statistical Society
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• v.30 no.1
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• pp.41-61
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• 2001

The minimum negative exponential disparity estimator(MNEDE), introduced by Lindsay(1994), is an excellenet competitor to the minimum Hellinger distance estimator(Beran 1977) as a robust and yet efficient alternative to the maximum likelihood estimator in parametric models. In this paper we define the negative exponential deviance test(NEDT) as an analog of the likelihood ratio test(LRT), and show that the NEDT is asymptotically equivalent to he LRT at the model and under a sequence of contiguous alternatives. We establish that the asymptotic strong breakdown point for a class of minimum disparity estimators, containing the MNEDE, is at least 1/2 in continuous models. This result leads us to anticipate robustness of the NEDT under data contamination, and we demonstrate it empirically. In fact, in the simulation settings considered here the empirical level of the NEDT show more stability than the Hellinger deviance test(Simpson 1989). The NEDT is illustrated through an example data set. We also define a goodness-of-fit statistic to assess adequacy of a specified parametric model, and establish its asymptotic normality under the null hypothesis.

• Women's Health Nursing
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• v.13 no.3
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• pp.211-218
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• 2007

Purpose: This study aimed to evaluate the accuracy and adequacy of research papers reporting statistical testings for mean differences. Methods: Original research articles utilized t-test, Chi-square test, and ANOVA were reviewed from Korean Journal of Women Health Nursing published from the year 2004 to 2006. Seventy-six papers were evaluated in accordance with formatted criteria in respect to an inclusiveness of research title, accuracy of statistical methods and presentation styles, and errors in reporting statistical outcomes. Results: Research titles were quite comprehensive, however overall accuracy of statistical values and basic formats reached only 60 to 80% by items. Details of the presentation in the reporting of outcomes were not complied with the guidelines, which need careful concerns of the writers. Errors of English in table presentation were found in more than 30% of the papers. Conclusion: The outcome would be reflected in the submission guidelines for future writers. To reach the level comparable with internationally recognized nursing journals, concrete knowledge to apply statistical methods should be ensured in the processes of submission, reviews, and editing.