• 한국조경학회지
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• 제30권4호
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• pp.9-18
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• 2002

This study investigated the influential range of landmarks and the relationship between landmarks and cognition factor so as to offer basic data to be used for the effective use and the management of landmarks. In this study, eighteen famous landmark in Seoul were selected and analyzed. The result of this study can be summarized as follows : 1) First, eighteen determining elements of cognition factors were selected via documents survey. Second, general cognition factors of landmarks were analysed using these elements through questionnaires to specialists. As a result of factor analysis, historic cultural factor, scale factor, visual form factor, locational factor and uniqueness factor were revealed. 2) According to revealed cognition factor, eighteen landmarks are categorized into four types using MDS method via questionnaire to resident in Seoul city. These four types of landmarks are: type I that are recognized by historic cultural factor; type II that are recognized by scale factor; type III that are recognized by uniqueness factor; and type IV that are recognized by visual form factor. 3) As the result of regression, the influential range of landmarks were revealed at about a 10km radius(type I : 12km type II : whole area of Seoul city≒15km, typeIII : 8.7km, typeIV : 8.5km). 4) As a result of analysing the correlation between the influential range and the cognition factor through multiple linear regression analysis, the locational factor is the main factor affecting the influential range of landmarks in every type. The uniqueness factor comes next, which affects influential range partially. 5) Except type 1, as a result of analysing the correlation between influential range and the physical heights of landmarks, a quadratic equation is revealed, showing that the influential range of landmarks over 200 meters in height shows a radical change. Landmarks can be used as reinforcement tools of legibility, effective tools for landscape management and for the improvement of a community's image. This study on the influential range of landmarks and main cognition factor can be utilized as a landmark management plan and in urban planning, such as a new town plan.

• 한국측량학회지
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• 제35권5호
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• pp.415-422
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• 2017

Finding influential factors from given clustering result is a typical data science problem. Genetic Algorithm based method is proposed to derive influential factors and its performance is compared with two conventional methods, Classification and Regression Tree (CART) and Chi-Squared Automatic Interaction Detection (CHAID), by using Dunn's index measure. To extract the influential factors of preference towards political parties in South Korea, the vote result of $18^{th}$ presidential election and 'Demographic', 'Health and Welfare', 'Economic' and 'Business' related data were used. Based on the analysis, reverse engineering was implemented. Implementation of reverse engineering based approach for influential factor analysis can provide new set of influential variables which can present new insight towards the data mining field.

• Journal of applied mathematics & informatics
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• 제5권2호
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• pp.489-498
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• 1998

The influence of observations the on the goodness-of-fit test in maximum likelihood factor analysis is investigated by using the local influence method. under an appropriate perturbation the test statistic forms a surface. One of main diagnostics is the maximum slope of the perturbed surface the other is the direction vector cor-responding to the curvature. These influence measures provide the information about jointly influence measures provide the information about jointly influential observations as well as individ-ually influential observations.

• Journal of the Korean Statistical Society
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• 제29권3호
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• pp.337-350
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• 2000

This paper suggests a new diagnostic measure and a stopping rule for detecting influential observations in multiple discriminant analysis (MDA). It is developed from a Bayesian point of view using a default Bayes factor obtained from the fractional Bayes factor methodology. The Bayes factor is taken as a discriminatory information in MDA. It is shown that the effect of an observation over the discriminatory information is fully explained by the diagnostic measure. Based on the measure, we suggest a stopping rule for detecting influential observations in a given training sample. As a tool for interpreting the measure a graphical method is sued. Performance of the method is used. Performance of the method is examined through two illustrative examples.

• 한국가정과교육학회지
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• 제9권2호
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• pp.161-174
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• 1997

The purpose of this study is to investigate the effects of self-concept, reference group, consumer education, and materialism on the propensity for conspicuous consumption of adolescents. The data used in this study were collected through questionnaires on 604 adolescents living in Cheju City. The data were analyzed by using SPSS PC(sup)+ program. The propensity for conspicuous consumption of adolescents differed significantly according to their age and allowance, and sex. The propensity for conspicuous consumption of the middle school students was higher than that of the high school students. The propensity for conspicuous consumption of boys was higher than of girl’s. The propensity for conspicuous consumption of the adolscents was influenced by materialism and the reference group. According to the results of the multiple regression analysis, the most influential factor was materialism and reference group. In clothing materialism was the most influential factor and the reference group was the second influential factor. But In shoes, bag, and school supplies the reference group was the most influential factor and materialism was the second influential factor.

• 한국생활과학회지
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• 제23권3호
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• pp.409-420
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• 2014

The purpose of this study was to explore the effects of mother-child interaction and child's social behaviors on child's peer acceptance. Participants were 108 4- to 5-year-old preschoolers(58 boys, 50 girls) and their mothers. Data were analyzed by descriptive statistics, correlation analysis and stepwise multiple regression analysis. The major findings are summarized as follows: (1) mother-child interaction are generally correlated with child's peer acceptance. And child's prosocial behavior was positively correlated with child's peer acceptance, whereas child's aggressive behavior, asocial behavior and hyperactive-distractible behavior were negatively correlated with child's peer acceptance. (2) The most influential factor on child's peer acceptance was child's experience in session, the next influential factor was child's hyperactive-distractible behavior and the last influential factor was asocial behavior.

• 산업경영시스템학회지
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• 제37권4호
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• pp.42-53
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• 2014

This study identifies influential factors for invigorating the public management office (PMO) system for system integration (SI) projects in public sectors and analyzes the priority of each factor from the point of different stakeholders, i.e., owners, SI company, and PMO. Based on the literature review, four first-level influential factors are identified: legal system maintenance, owner's capability, SI company's capability, and PMO's capability. Among them, the PMO's capability is determined as the most critical factor by all the stakeholders. Among the second-level influential factors, the capabilities of professional engineers and project managers are considered as important among the PMO's capability, whereas the reasonable consulting fee is considered as the most critical factor among the legal system maintenance. With respect to each stakeholder, project management capability is considered as the most important factor for owners, while the reasonable consulting fee is considered as the most important factor for PMO.

• 아태비즈니스연구
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• 제11권4호
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• pp.49-63
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• 2020

Purpose - This study aims to assess six aspects of resident satisfaction (satisfaction with room, home, social interaction, meals service, staff care, and resident involvement) and to identify the most influential aspect of satisfaction upon word-of-mouth (WOM) intention in a continuing care retirement community (CCRC). Design/methodology/approach - A total of 293 paper survey questionnaires with a cover letter and postage paid envelopes were mailed to the CCRC residents. To test reliability and validity of the multidimensional resident satisfaction, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used. Then, the structural equation modeling technique (SEM) was applied to test causal relationship between resident satisfaction and WOM intention. Multiple regression was used to identify the most influential aspect of resident satisfaction on WOM intention in the CCRC. Findings - The results of EFA and CFA on the 157 responses received out of the total 293 surveys indicated that six dimensions of resident satisfaction were statistically distinct. Among the six dimensions, satisfaction with resident involvement, social interaction, and staff care significantly influenced their WOM intention. Furthermore, the most influential aspect of satisfaction upon WOM intention was resident involvement. Research implications or Originality - This study empirically tested the six dimensions of CCRC resident satisfaction, and identified resident involvement as the most influential factor upon WOM intention in a CCRC where WOM intentions plays a crucial role during the selection process of prospective residents.

• 대한간호학회지
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• 제14권2호
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• pp.84-92
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• 1984

This article examined relationships between selected variables, such as demographic background, care, treatment variables, environmental characteristics, and patient's daily behavior and mood change. Relationship were determined between independent variabltherapeutic-rapeutie approach, demographic data, environmental management approach-,and dependent variable-patient's daily behavioral and mood change. 35 patients selected within some criteria in a psychiatric ward, were obserbed during 5 weeks by use of Wyatt's Behavior & Mood Rating Scale ac-cording to the object of the study. At the same time, the frequence of the care and treatment were collected. Criteria for sample selection and independent variables as an influential factor to the patient behavioral change, based on a literature revienw and clinical experiences. Pearson's correlation and multiple regression analysis were used to determine the influfntial factors to the patient behavioral change. Systematic reading (r=.8324), Psychiatrist's individual interview (r=.5764), tranquilizer (r=.3441) and hospitalization processing date (r=.4143) were related with patient's behavioral change. That is these 4 variables can be said to influence to the patient's behavior and mood. A stepwise multiple regression analysis of the effect of the independent varibles of systematic reading, psychintrists individual interview, tranquilizer and hospitalization processing date on the dependent variable, patient's behavioral change was carried out. Systematic reading with on R²of. 69 revealed to be the main influential factor to the patient's behavior and mood change, as the next factor psychiatrist individual interview. A total inclusion of these factors revealed a 73% prediction for the patient's behavior and mood change. But the most influential factor was the interaction of the systematic reading and psychiatrist's individual interview.

• Communications for Statistical Applications and Methods
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• 제6권1호
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• pp.33-42
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• 1999

A method of detecting influential observations in principal factor analysis is suggested. it is based on a perturbation of the empirical distribution function and an adoption of the local influence method. An illustrative example is given.