• Korean Journal of Child Studies
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• v.4
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• pp.37-51
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• 1983

The purpose of this study was the investigation of theoretical and empirical relationships between Piagetian and psychometric assessments of intelligence. Specifically, the factor structure of Piagetian-type scales, the relationship between Piagetian scales and psychometric intelligence tests, and differences in the factor structure of Piagetian and psychometric assessments of intelligence were studied. The subjects of this stuby were 70 children (35 boys and 35 girls) in the 1st grade of an elementary school in Seoul The Piagetian-type scales and the K-WISC were administered individually, and the General Intelligence Test was administered to groups of children. Statistical analysis of the obtained data consisted of the SPSS Computer program including factor analysis and Pearson's product moment correlation coefficient. The Piagetian-type scales were found to consist of three factors, which accounted for 55 percent of the total common-factor variance. Factor-I was a factor indicating "conservation". Factor-II was a factor indicating "moral judgements". Factor-III was a factor indicating "classification and identity". Correlations between subtests of psychometric tests and Piagetian scales were relatively low or moderate. Relations between IQs assessed by the psychometric tests and Piagetian scales were also relativeyly low or moderate. Eight factors were extracted from the joint factor analysis of psychometric intelligence tests and Piagetian scales, and they accounted for 67 percent of the total common-factor variance. Factors-I, II, III, and V consisted of subtests of psychometric assessments, and Factors-IV, VI, VII and VIII were composed of Piagetian scales. Factor-I was a factor for "reasoning ability based upon language". Factor-II was a factor for "performance ability". Factor-III was a factor for "grouping ability". Factor-IV was a factor for "conservation". Factor-V was a factor indicating "symbol and language usage ability". Factor- VI was a factor indicating "moral judgments". Factor-VII was a factor indicating "length consevation". Factor-VIII was a factor indicating "classification and identity".

• Culinary science and hospitality research
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• v.8 no.3
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• pp.107-122
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• 2002

The analysis result regarding the influence where the enterprise culture goes mad to a duty satisfaction with afterwards is same. First. The enterprise culture factor who causes an effect in the supervision factor of duty satisfaction joint ownership of management idea, appeared with the example by leadership factor. Second. The enterprise culture factor who causes an effect in the promotion factor of duty satisfaction appeared with the all feeling factor of system. Third. The enterprise culture factor who causes an effect in the wages factor of duty satisfaction appeared with the all feeling factor of system. Fourth. The enterprise culture factor who causes an effect in the duty form factor or duty satisfaction clearness or example by leadership and belief, duty affirmation appeared with the factor. Fifth. The enterprise culture factor who causes an effect in the service environment factor of duty satisfaction appeared with the all feeling factor of system. Conclusion the enterprise culture appeared with the fact that it causes an effect duty satisfactorily.

• Culinary science and hospitality research
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• v.13 no.1 s.32
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• pp.166-178
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• 2007

A review of literature relating to the research topic and a survey method have been implemented in order to analyze effects of service orientation. For data analysis, a reliability analysis was performed to test the reliability of the construct and a series of an exploratory factor analysis was used for the validity test. The findings of the study were as follows: Classified into sex, service leadership factor and service skill factor showed meaningful difference between groups. Classified with age, service training factor, service leadership factor, service standardization factor, service technology factor, and service compensation factor showed meaningful difference between groups. Classified with scholarship, service compensation factor showed meaningful difference. Classified into working year, employees' discretion factor showed meaningful difference. Classified into work department, service training factor and employees' right factor showed meaningful difference. In addition, classified into monthly average incomes, employees' discretion factor showed meaningful difference.

• Proceedings of the Safety Management and Science Conference
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• 2009.11a
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• pp.657-665
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• 2009

The paper reviews gauge R&R studies by two-factor mixed models including random and fixed factors. The two-factor mixed models include restricted models and unrestricted models considering the interaction of two factors. This study also classifies the models according to the number of factors, and the combination of various factors such as random factor, fixed factor, block factor and repetition type.

• International Journal of Highway Engineering
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• v.13 no.4
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• pp.211-220
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• 2011

TOD(Transit Oriented Development) has recently been active, which presents that TOD planning elements should be comprehensively taken into consideration in order to enhance domestic transit ridership by changing environments in rail station areas and an empirical analysis on the type of rail station areas and transportation demand should be a prerequisite for usage of future development planning. This study aims to grasp a variety of TOD of influence factors in Seoul rail station area and to perform analysis to identify relationship between public transportation demand and these TOD design factors. To make it come true, we gathered data with respect to Density, Diversity, and Accessibility as representative TOD planning elements and carried out factorial and regression analysis. Consequently, we drew 7 influence factors base on factorial analysis: Factor 1(Diversity/ -Use Mix(LUM)), Factor 2(Density/development density), Factor 3(Accessibility/public transportation facility supply), Factor 4(Design/street design), Factor 5(Green/access mode (pedestrian, bike), Factor 6(Design/subway size), Factor 7(Accessibility/Public transit operation) As the result of model development by using factorial and regression analysis, positive influence factors on passenger flow in rail station area are Factor 1(Diversity : Land-Use Mix), Factor 3(Accessibility : public transportation facility supply), Factor 2(Density : development density), Factor 5(Design/ access mode) and Factor 6(subway size) Next, negative influence factor on passenger flow in rail station area shows Factor 7(Accessibility/Public transit operation) as the most influential factor. This is because the growth of service interval of linked subway and bus leads to reduced demand.

• Journal of the Korean Society of Food Culture
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• v.31 no.2
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• pp.149-160
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• 2016

This study utilized importance and performance analysis (IPA) in order to improve and plan tangible (menu) and intangible (service) products at dumpling shops. Menu attributes for tangible products were classified into sensory factor, health factor, hygiene factor, and external factor. Attributes for intangible products were classified into response factor, visual factor, spatial factor, package factor, and promotion factor. In IPA analysis of tangible products, sensory factor and hygiene factor were located in Quadrant I (Keep up the good work). Health factor was located in Quadrant III (Low priority for management) and the external factor was located in Quadrant II (Possible overkill). In IPA analysis of intangible products, response factor and visual factor were located in Quadrant I, whereas promotion factor was located in Quadrant III. The attributes related to kindness of staff and space for customers in the store were more important, but due to their low performance level, they were located in Quadrant IV (Concentrate management here). Thus, the product planner should improve attributes of the related product immediately. As a result, the development of competitive products within the market is possible.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.10a
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• pp.568-571
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• 1997

The overall aim of this paper is to determine coupling loss factor using loss factor and structural loss factor. For this purpose, two kinds of loss factor were adopted. One is loss factor of each sub structure, another is structural loss factor based on the complex welded or assembled structure. Using these two parameters, it is possible to derive the coupling loss factor which represent characteristic condition of SEA theory. Coupling loss factor of conjunction in complex structure was expressed as power balance equation. The derived equation for a coupling loss factor has been simplified on the assumption of one directional power flow between two sub structures. Using these conditions, it is possible to find the coupling loss factor equation. The comparison between theory of power transmission on conjunction and above equation, show a good agreement in simple beam structure. To check the effectiveness of above equation, it was adopted rotary compressor. Rotary compressor has three main conjunctions between shell and internal vibration part. This equation was applied to find out the optimum welding point with respect to reduce the noise propagation. It shows the effective tool to evaluate the coupling loss factor in complex structure.

• Culinary science and hospitality research
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• v.7 no.3
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• pp.211-239
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• 2001

A study is on the coupon which is one of the sales promotion methods for family restaurant. The factor of family restaurant coupon use in the study was analyzed based on theoretical study. In addition, difference of food service manners by behavior and demographic factor, and so by means of this factor was analyzed and was done t-Test and anova. As a result of this study, eight factors were found. This eight factors were named by researcher. Eight factors are as follows There are 1. factor taste, 2. factor choice, 3. factor expectation, 4. factor satisfaction, 5. factor durability, 6. factor convenience, 7. factor safety, 8. factor preference. These factors influence family restaurant coupon used by customer. And so we know that between demographic factor and food service manners are different. In the conclusion, the factor of family restaurant coupon use, by valuable sides and typical sides was presented as the sales promotion methods for coupon. First, valuable side endows coupon with value and so lead persistent purchase. Second, typical side cause interest and so leads repurchase. But in the future, continuous study should be go on for satisfaction of customer and effective marketing strategy of family restaurant.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.4
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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.

• Microbiology and Biotechnology Letters
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• v.31 no.4
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• pp.395-399
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• 2003

Nebramycin is a complex of aminocyclitol compounds that is produced by aerobic culture in fermentation process. The major antibiotic factors produced by Streptoalloteichus hindustanus are nebramycin factor 2, 4, 5'and kanamycin A. A mutant was selected, producing nebramycin factor 5' activity 16.4 times higher than parent strain by microbiological assay using Pseudomonas aeruginosa CH-U34AF. The component ratio of nebramycin factor 5' was dramatically increased from 34% to 70% by the optimization of fermentation condition. It was found that the component ratio of nebramycin factor 5' in fermentation was especially affected by the oxygen transfer rate. Optimum oxygen transfer rate for maximal nebramycin factor 5' productivity and ratio during S. hindustanus fermentation was elucidated to $0.50 mMO_2$/min.