• Communications for Statistical Applications and Methods
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• v.12 no.3
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• pp.635-642
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• 2005

In statistical diagnostics a large number of influence measures have been proposed for identifying outliers and influential observations. However it seems to be few accounts of the influence diagnostics on test statistics. We study influence analysis on the likelihood ratio test statistic whether the two sets of variables are uncorrelated with one another or not. The influence of observations is measured using the case-deletion approach, the influence function. We compared the proposed influence measures through two illustrative examples.

• Journal of The Korean Association For Science Education
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• v.26 no.2
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• pp.191-199
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• 2006

This study investigated the influence of time to draw students' mental models and students' field dependence-independence on learning the particulate nature of matter with multiple representations. Seventh graders (N=295) at two middle schools were assigned to control, after-drawing, and before-drawing groups. The students learned "Boyle's Law" and "Charles's Law" for two class periods. Results revealed that the scores of a test on conceptual understanding for the two drawing groups were significantly higher than those for the control group. However, there was no significant interaction between the instruction and students' field dependence-independence in the scores of the test on conceptual understanding. In 'novelty' on a situational interest test, field independent students in the two drawing groups scored significantly higher than those in the control group. The scores for field independent students in each group were similar, while field dependent students in the before-drawing group scored lower than those in the control and after-drawing groups in 'attention demand' on the situational interest test. It was found that most students positively perceived after-drawing or before-drawing, but field independent students in the before-drawing group were more apprehensive about the activities than those in the after-drawing group.

• Human Ecology Research
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• v.59 no.3
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• pp.401-418
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• 2021

The purpose of this study was to test the effects of Practical Problem-Based Home Economics Instruction (PPBHEI) on middle school students' creativity, focusing on the content on "clothing management and recycling." This study carried out quasi-experimental research with an independent variable of PPBHEI and a dependent variable of creativity. The experiment was based on a sample of 62 (31 in each group) second grade students in the Cheongju area over four class hours. ANCOVA was performed to examine pre-test and post-test differences between the experimental group and the control group. The results showed that PPBHEI did not improve the level of creativity but improved the level of creative motivation among the sub-elements of creativity (creative thinking, creative tendency, creative motivation). In particular, PPBHEI improved the level of independence in creative tendency, intrinsic motivation, and diligence in creative motivation. From the results of this study, it can be concluded that PPBHEI is effective in improving independence, intrinsic motivation, and diligence in respect of middle school students'creativity.

• The Korean Journal of Applied Statistics
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• v.19 no.2
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• pp.361-368
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• 2006

There are lots of two and three dimensional graph representing two dimensional categorical data. Among them, Li, et al. (2003) proposed Diamond Graph that projects three dimensional graph into two dimension whereby the third dimension is replaced with a diamond shape whose area and middle and vertical and horizontal lengths represent the outcome. In this paper, we use the Diamond graph to test the independence of two predictor variables for two dimensional data. And this graph could be applied for finding the best fitted log-linear model to three dimensional data.

• Journal of the Korean Data and Information Science Society
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• v.11 no.1
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• pp.83-90
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• 2000

The chi-squared test statistic is usually employed for testing independence of two categorical variables in a two-way contingency table. It is well known that, under independence, the test statistic has an asymptotic chi-squared distribution under multinomial or product-multinomial models. For the case where both margins fixed, the sampling model of the contingency table is a multiple hypergeometric distribution and the chi-squared test statistic follows the same limiting distribution. In this paper, we study the difference between the small sample and large sample distributions of the chi-squared test statistic for the case with fixed margins. For a few small sample cases, the exact small sample distribution of the test statistic is directly computed. For a few large sample sizes, the small sample distribution of the statistic is generated via a Monte Carlo algorithm, and then is compared with the large sample distribution via chi-squared probability plots and Kolmogorov-Smirnov tests.

• 한국데이터정보과학회:학술대회논문집
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• 2001.10a
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• pp.13-16
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• 2001

We compare methods for detecting influential observations that have a large influence on the likelihood ratio test statistics that the two sets of variables are uncorrelated with one another. For this purpose we derive results of the deletion diagnostic, the influence function, the standardized influence matrix and the local influence. An illustrative example is given.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.159-168
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• 2020

This is a quantitative research, underpinned by the philosophy of natural science and deduction approach that examines the impact of the various aspects of corporate governance mechanism on the choice of capital structure of Vietnamese listed firms. We focus on the effect of factors such as the board size, the board independence, and especially different ownership structures, which include the managerial ownership, the state ownership, the concentrated ownership, and the foreign ownership. They are the main scopes of corporate governance and are supposed to be relevant to determine the corporate financing choice. To explain the causal relationship between factors, we construct the regression model and then test it by using different statistical method approaches, including the pooled OLS, the fixed effects model, and the random effects model. Data are collected from 336 firms with shares listed in the Ho Chi Minh City Stock Exchange in Vietnam, totaling 1583 observations. Overall, the results reveal that the board size, state ownership, and concentrated ownership have positive impact on the firm's capital structure, whereas foreign ownership appears to have negative influence on the capital structure. The research does not find evidence of a the correlation between board independence, managerial ownership and corporate capital struture.

• The Korean Journal of Rehabilitation Nursing
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• v.8 no.2
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• pp.149-156
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• 2005

Purpose: The purpose of this study was to analyze functional independence and need for home nursing care in stroke patients. Method: This was a descriptive study. The subjects comprised 117 stroke patients who were supposed to discharge in less than a week. The instruments used for this study were the functional independence measure(FIM) and the need assessment for home nursing care of stroke patients. The data were analyzed using frequency, mean, t-test, ANOVA, and Pearson correlation coefficient. Results: Pearson correlation analysis revealed that there were negative correlations between subcategories of the FIM and the need for home nursing care in stroke patients. Especially, in case of the subjects who recorded lower scores at self-care they showed higher needs for home nursing care in the domain of physical problem and rehabilitation. Conclusion: For the operation of the home nursing care, the protocol for home nursing care is needed to the stroke patients living at home. The FIM instrument is recommended as a useful scale in order to assess the disability for the stroke patients and the need for home nursing care because this one has correlation with the scale of need for home nursing care.

• Journal of The Korean Association For Science Education
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• v.19 no.3
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• pp.471-478
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• 1999

In this study, the relationships among learners' cognitive variables, motivational variables, and conceptual understandings in learning with analogy were investigated. The instruments regarding analogical reasoning ability, field dependence-independence, mental capacity, and logical thinking ability were administered. Some subtests (self-efficacy, expectancy, self-concept of ability, and value) of the Patterns of Adaptive Learning Survey were administered. After students learned with a worksheet that included analogy, a conception test regarding 'stoichiometry that included limiting reagent' was also administered. It was found that learners' conceptual understandings were significantly correlated with the logical thinking ability and the field dependence-independence among the cognitive variables, and the self-efficacy and the self-concept of ability among the motivational variables. The multiple regression analysis of the cognitive variables on conceptual understandings revealed that the logical thinking ability was the most significant predictor. The field dependence-independence also had predictive power. In the analysis of the motivational variables, the self concept of ability was the only significant predictor.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.527-532
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• 2015

In domestic island regions, the power supply generally depends on diesel generators due to difficulties of grid connection. To solve this issue, recently, the study on the stand-alone microgrid technology and its test are being actively conducted. In this paper, we propose the stand-alone microgrid integration monitoring system for energy independence island. First, we design the software architecture for monitoring of solar, wind, diesel power generation facilities, transmission and distribution of grid network, and energy storage system. Then, we implement the monitoring software that allows administrators to identify and run the monitoring software easily.