• The Korean Journal of Applied Statistics
• /
• v.6 no.2
• /
• pp.421-433
• /
• 1993

Few ovservation can influence in model building procedure and can dominate the least squares fit of a selected model. An observation, however, may not have the same impact on all aspects of regression analysis. We introduce a statistic which measures the impact of individual cases on the overall goodness-of-fit statistics. We also propose an influence measure for variable selection problem. The property of uncorrelatedness between fitted values and residuals has been used to develop the influence measure. The performance of the measures are used to develop the influence measure. The performance of the measures are compared with other widely used influence measures by the analysis of real data.

• Journal of Engineering Education Research
• /
• v.22 no.3
• /
• pp.59-67
• /
• 2019

The purpose of this study is to analyze that hours for participating in CTL program and whether or not make of CQI have a effect on the student evaluation about teaching of engineering professor. This inquiry have done a multiple regression analysis that student evaluation grade of teaching on 2018-1st semester of 240 engineering subjects of N University in Chungcheongnam-do as dependent variable, and background factors and work factors as independent variable. Research results is follows. First, employment type haven't a effect on teaching evaluation scores. And subject type, student' concentration of class, teaching evaluation pre-scores have a positive effect on teaching evaluation rating, but student number have a negative effect. Second, hours for participating in CTL program haven't a effect on teaching evaluation scores, but to make of CQI report have a positive effect on teaching evaluation scores. And I suggested to make CQI for improve teaching evaluation scores and manage the quality of education.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.53-59
• /
• 2021

This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2×2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.

• Advances in nano research
• /
• v.11 no.6
• /
• pp.595-606
• /
• 2021

This paper conducted mainly for forecasting the behavior of the shear connectors in steel-concrete composite beams based on the different factors. The main goal was to analyze the influence of variable parameters on the shear strength of C-shaped and L-shaped angle shear connectors. The method of ANFIS (adaptive neuro fuzzy inference system) was applied to the data in order to select the most influential factors for the mentioned shear strength forecasting. Five inputs are considered: height, length, thickness of shear connectors together with concrete strength and respective slip of the shear connectors after testing. The ANFIS process for variable selection was also implemented in order to detect the predominant factors affecting the forecasting of the shear strength of C-shaped and L-shaped angle shear connectors. The results show that the forecasting methodology developed in this research is useful for enhancing the multiple performances characterizing in the shear strength prediction of C and L shaped angle shear connectors analyzing.

• The Journal of the Korea Contents Association
• /
• v.14 no.11
• /
• pp.186-195
• /
• 2014

The purpose of this research is to explain what affects the volunteer center's performance on the basis on the program logic model. We assume that internal factors and external factors influence the organizational performance. For the empirical analysis, we use SUR(seemingly unrelated regression). The major findings of this research are as follows: Frist, organizational budget as internal factors are important influential factors. Second, civil society's capacity variable and stakeholder's support variable affect positively volunteer center's performance. Third, the contract out variable's effect as an operation types is not proven statistically. In case of estimating the multi organizational performance, lastly, the SUR method is prefer to the OLS method in the aspect methodology. However, more systemic study is complemented the panel data for organizational performance.

• Journal of Korean Society of Transportation
• /
• v.29 no.2
• /
• pp.71-80
• /
• 2011

Almost all Drivers who are not familiar with local areas usually rely on road signs equipped along the roadways. The road signs in Korea present the name of the city along the driver’s direction. The consistency of guided name on the road-signs is important for drivers. The discordances among road signs frustrate drivers particularly when the drivers are confused with whether or not they are in the right direction. There are several studies focusing on the continuity of information on the road signs. Most of the researches, however, do not suggest the objective way but diagnose present problem. Applying the Analytic Hierarchy Process (AHP), we evaluate the impact of information on road signs and select the candidate information considering the score and limited number of information. We also suggest the reasonable spatial influence area of road sign information using geo-spatial analysis. From this study, we expect that the director in charge of selecting information can make decision reasonably without difficulties of choosing information.

• The Journal of the Korea Contents Association
• /
• v.13 no.7
• /
• pp.361-368
• /
• 2013

This research aims to offer the information required for demand increase on marketing strategy level by investigating Mudeungsan visitors' demographic characteristics and social economical variables. To accomplish this study, the proper analyzing model needs to be applied because a grave error of parameters will be led if regression model appropriate for analyzing the data of a continuous probability variable is applied, in case that dependent variable is a discrete random variable which have a discrete probability distribution. Therefore data analysis was performed with Poisson model. However, as the data was showing an overdispersion, parameter was estimated with the Binomial Poisson model able to cover the problem. As a result, some explanatory variables turned out to be significant such as visitor's age, occupation, preferred season to visit, type of company, five days working, and preferring type of tourism. Author could offer to the national park the information about characteristics of core market revealed and marketing strategy for it, based on those influential variables.

• Korea journal of population studies
• /
• v.11 no.1
• /
• pp.87-96
• /
• 1988

The subjects used in this study were chosen from self-employed women in Taegu City, Korea, Data for 415 respondents were collected by face-to-face interviews conducted during the period of November 10 through 23, 1987. There are three major purposes in this study : first, to describe the general characteristics of self-employed Korean women's fertility behavior ; second, to examine the determinants of fertility behavior among self-employed women : third, to explore the relative importance of the fertility determinants among the women. Regression analyses were introduced to test hypotheses. Nine variables, such as household income, educational attainment, mass media, abortion, the period of contraception practice, contraceptive expenses, the number of infant, deaths marital period, and age at first marriage were introduced as indicators in the regression. The results of this study show that there are negative relationships between the dependent variable of fertility and abortion, and the period of contraception practice. On the other hand, positive relationships between the dependent variable of fertility and the number of infant deaths, and marital period and age at first marriage are shown in this study. However, the results of this study show that there are insignificant relationships between socioeconomic variables and fertility. From the results of the F test to evaluate the significance of difference in $R^2$between two different regression equations, we have found that the regression equation including both socioeconomic variables and intermediate variables is misspecified to examine the determinants of fertility behavior among self-employed Korean women. That is, the F test shows that the regression equation including only intermediate variables as indicators is the best model for this study. Finally, the relative importance of the fertility determinants among self-employed women is found as follows : Age at the first marriage is the most influential variable in the fertility, and the next important factors are abortion, the period of contraception practice, the number of infant deaths, and marital period, in that order.

• Journal of Families and Better Life
• /
• v.19 no.1
• /
• pp.143-158
• /
• 2001

The purpose of this study was to examine the influences of the material values, attitudes toward money, and the background variables to the money use behavior of female collegians. The samples were selected from 541 female collegians. Cronbach$\alpha$, One-way ANOVA, Duncan test, Multiple regression, Path analysis were used as statistical analysis. The results were summarized as follows : Resulting from multiple regression analysis, the money use behavior of female collegians had the positive linear relationships with the variables such as mothers level of education, material values, and 3 money attitude - the means of security, the symbol of anxiety, the means of pleasure - in five money attitude dimensions. The most influential variable was money attitude of the means of security.

• Journal of Fashion Business
• /
• v.16 no.5
• /
• pp.192-206
• /
• 2012

This study aimed to examine the effects of demographic variables, stress, appearance management behavior, and family environment on self-esteem with the subjects of high school students with serious stress and great interest in appearance among the adolescences. This research was conducted during June, 2012, and the research method employed was the questionnaire. The questionnaire consisted of the contents about self-esteem, stress, appearance management behavior, and demographical variables. Regarding the adolescents' stress, generally, influential variables include relationship with parents and friends, school records, or school life satisfaction. And the adolescences' self-esteem was the crucial variable to indicated socio-psychological adaptation. And it was related with stress or appearance management behavior.