• 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.

• Communications for Statistical Applications and Methods
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• v.20 no.2
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• pp.129-136
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• 2013

Linear regression is the most basic statistical model for exploring the relationship between a numerical response variable and several explanatory variables. Logistic regression secures the role of linear regression for the dichotomous response variable. In this paper, we propose a biplot-type display of the multivariate data guided by the linear regression and/or the logistic regression. The figures show the directional flow of the response variable as well as the interrelationship of explanatory variables.

• Bulletin of the Korean Mathematical Society
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• v.53 no.3
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• pp.943-957
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• 2016

We introduce a 2-variable weighted shift, denoted by $S_2$(a, b, c, d), which arises naturally from analytic function space theory. We investigate when it is subnormal, and compute the Berger measure of it when it is subnormal. And we apply the results to investigate the relationship among 2-variable subnormal, hyponormal and 2-hyponormal weighted shifts.

• Journal of the Korean Society of Clothing and Textiles
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• v.10 no.1
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• pp.1-8
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• 1986

This study was undertaken to explore the relationship between the personality characteristic (the self-esteem) and tao clothing behaviors according to the sex and the five environmental variables. This study was designed with the hypothetic model regarding the age and the five environmental variables as Independent Variable, the self-esteem as Intervening Variable, the eight clothing behaviors as Dependent Variable. For the testing hypothesis, the questionnaries were adminstered to 335 high school boys and 308 high school girls in Pusan. The data was analyzed statistically at the B.N.U. Computer Center using to the Path Analysis (by Multiple Regression Analysis Method). The results were as follows : 1. There was significant difference in the self-esteem according to the sex. Boys had higher scores than girls. 2. There was no significant relationship between the self-esteem and all the environmental variables of this study. 3. There were significant differences in the clothing behavior subscales according to the sex. Girls had higher scores than boys in every clothing behavior subscales. 4. There were partial relationship between the clothing behavior subscales and the environmental variables. 5. There was a highly significant relationship between the self-esteem and the clothing behavior subscales except Comfort and Modesty. A negative significant aubscale were Interest, Psychological Dependence, Social Approval and Special Attention. 6. There were positively significant relationship among the clothing behavior subscales except Modesty-Aesthetics, Modesty-Interest, Modesty-Psychological Dependence and Modesty-special Attention.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.5
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• pp.525-529
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• 2009

Most of FLC received input data from error e and change-of-error e' with no relation with system complexity. Basic scheme follows typical PD and PI or PID Controller and that has been developed through fixed ME In this paper, We studied the relationship between MF and system response and system response through changing Fuzzy variable of consequence MF and propose the simple FLC using this relationship. The response of FLC is changed according to the width of Fuzzy variable of consequence MF. As changing the Fuzzy variable of consequence MF shows various nonlinear characteristic, we studied the relation between response and MF using analytical method. We designed the effective FLC using three-variable MF and nine rules and took simulation for verification. In this study, we propose the method to design system with FLC in stability point which is an impotent characteristic of designing system. The circle criterion which is adapted to analysis the nonlinear system is put to use for proposed method. Since SISO FLC has a time-invariant and odd characteristic we can use the critical point not disk which is generally used to determine the stability in the circle criterion, to determine the stability. Using this, we can get the maximum critical point plot of SISO FLC with changing the consequence fuzzy variables. The predetermined critical point plot of FLC can be used to decide the region of the system to be stable. This method is effectively used to design the SISO FLC.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.21 no.3
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• pp.27-40
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• 2013

Rotorcraft operating in the domestic aviation safety techniques are applied CRM training is conducted but, aircraft accidents caused by human factors has not shown a declining trend. Thus, knowledge of aviation safety and human factors for the spread of awareness of improved rotorcraft flight operations department managers to understand the complexity of nature and culture, and to perform high-risk mission helicopter pilot study of local activation and enhance safety awareness research was conducted in order to. In this study, the development direction of CRM training studies in order to identify the leading NOTECHS (Non-Technical Skills; non-technical pilot skills) of the four categories as the independent variable and the dependent variable corresponding to the resulting effect on the key variables awareness of the differences were studied. In addition, the direction and strength of the relationship were analyzed to determine the relationship of each independent variable to assess the impact on the dependent variable regression analysis was performed. Pilot training and evaluation of non-technical skills related to the teaching reflected in the CRM training and assessment must be carried out with 5 star rating scale was preferred. Therefore, to meet our country rotorcraft operating environment 'NOTECHS' aviation safety by developing training programs reflected in the educational process, implementation, and periodic training and assessment is done in future research on this analysis and feedback is done to reflect the specific performance expect.

• IE interfaces
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• v.12 no.4
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• pp.551-556
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• 1999

In this paper, we compare the performance of three data mining classification algorithms(neural network, decision tree, logistic regression) in consideration of various characteristics of categorical input and output data. $2^{4-1}$. 3 fractional factorial design is used to simulate the comparison situation where factors used are (1) the categorical ratio of input variables, (2) the complexity of functional relationship between the output and input variables, (3) the size of randomness in the relationship, (4) the categorical ratio of an output variable, and (5) the classification algorithm. Experimental study results indicate the following: decision tree performs better than the others when the relationship between output and input variables is simple while logistic regression is better when the other way is around; and neural network appears a better choice than the others when the randomness in the relationship is relatively large. We also use Taguchi design to improve the practicality of our study results by letting the relationship between the output and input variables as a noise factor. As a result, the classification accuracy of neural network and decision tree turns out to be higher than that of logistic regression, when the categorical proportion of the output variable is even.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.7
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• pp.413-424
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• 2020

This study examines the direct effect of workforce restructuring on the withdrawal behavior and mediating effect of perceived job insecurity. Empirically it also explores the moderating effect of career plateau and procedural justice on the above relationship. The study focuses on the mediating role of job insecurity and the moderating role of career plateau in relations to procedural justice, which will concentrate on the relationship between workforce restructuring and withdrawal behavior. For the empirical study, we collected and analyzed 442 survey data from employees of Korean companies. SPSS 24 is used for reliability, correlation and regression analysis. The results of the empirical analysis are as follows. First, perceived job insecurity mediated the relationship between workforce restructuring and withdrawal behavior. Second, content career plateau had a negative moderating effect on the relationship between workforce restructuring and job insecurity. Finally, the moderating effect of procedural justice was not supported. This research extend workforce restructuring and career plateau related studies; by exploring the mediating variable and moderating variable on the relationship between workforce restructuring and the pertaining outcomes. Based on the results, we provide theoretical and practical implications along with future research recommendations.

• World Technopolis Review
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• v.8 no.1
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• pp.21-42
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• 2019

The purpose of this research was to investigate the factors influencing global expansion/scalability of Kenyan Small and Medium Enterprises (SMEs). Factor analysis and multiple/multivariate regression analysis to determine the functional relationship between independent variables (factors) and the dependent variable was used. The independent variables were: innovation & technology, fitness/appropriateness of management, global marketing strategy; and support environment and the dependent variable, global expansion/scalability. Data was collected from a survey of randomly selected firms of 205, drawn from a population of 440 firms from Kenya Manufacturers Directory, with 175 firms responding. The key findings from the research in relation to Kenyan SMEs were that: there is a functional relationship between global market strategy and global expansion; there is a functional relationship between innovation and technology orientation and global expansion, there is no significant functional relationship between supportive environment of firms and their global expansion; and there is no significant functional relationship between fitness/appropriateness of management and global expansion/scalability. The implications for practice is that the ranking of the factors in order of priority supports focusing concern on the orientation of business strategy toward global market strategy, market research geared at obtaining foreign market intelligence, innovation and technology, product adaptation, service orientation, collaborative ventures, and long-range vision as key factors in making Kenyan firms successful in the international market. The implication for policy and practice is that there is need for collaboration between industry and government in pursuing policies for global expansion/scalability and among SMEs and large enterprises particularly in areas of rapid technological change.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.165-170
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• 2021

This paper examines the long-run relationship between financial development and economic growth. The effective function of financial development is crucial to promote the economic development of the country. To achieve the objective, this study used Gross Domestic Product as a dependent variable and Credit to The Private Sector, Ratio of the Gross Fixed Capital Formation to GDP, Trade, Consumer Price Index and Labour Force as an independent variable. Augmented Dickey-Fuller test statistic (ADF) to check the stationary. Bounds test for cointegration and Auto-Regressive Distributed Lag Models (ARDL) are used to check cointegrating relationship amongst the variables and causality between financial development and economic growth. Moreover, the Model selection method is Akaike Info Criterion (AIC). This result demonstrates that the labor force and trade hold a significantly negative relationship with economic growth. Nevertheless, inflation, Credit to The Private Sector, and Ratio of the Gross Fixed Capital Formation to GDP show a significantly positive relationship with economic growth. Therefore, there is a statistically significant relationship between Financial Development and Economic growth in Sri Lanka and the Sri Lankan government should reform its trade policies.