• Title/Summary/Keyword: high-dimensions

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SERIAL INVESTIGATION ON THE INTERRELATIONSHIP BETWEEN BODY HEIGHT, WEIGHT AND SELECTED CRANIOFACIAL DIMENSIONS DURING MIXED DENTITION PERIOD (혼합치열기 학동에서 신장 및 체중과 두개안면부사이의 상호관계에 관한 연구)

  • Sung, Jae Hyun
    • The korean journal of orthodontics
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    • v.10 no.1
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    • pp.81-93
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    • 1980
  • The interrelationships between growth rates (and size) of the selected cranifacial dimensions and body dimensions (height and weight) were investigated in the longitudinal data of primary school children from 6 to 11 years of age. The data were obtained from serial cephalometric radiographs and health record which were taken at one year interval. Regression analyses were used to analyze the data. The main concludions might be summarized as follows; 1. Size relationships between body height (and weigh) and S-Gn, posterior facial height (s-Go), total mandibular length (Ar-Gn) showed high significant correlation, but no association between body height, weight and anterior cranial base length (S-N). 2. Correlation coefficients between facial dimensions and body height (and weight) were getting lower with age increase. 3. At all age groups, significant prediction equation for some facial dimensions with body height and weight were obtained. 4. In this sample, the growth rates of facial dimensions and body height and weight showed almostly constant during this age period and the growth rate of body height and weight of girls was exceeded that of boys. 5. A relatively high degree of variation between individuals existed in the sample. 6. A positive correlation was found for the relationship between the growth rates of facial dimensions and those of body height (and weight) in boys and girls, but was not found in total samples.

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Effects of Personal, Household, and Environmental Factors on Household Financial Management in Financial Dimensions (개인$\cdot$가계$\cdot$환경변수가 가계의 재무영역별 재무관리행동에 미치는 영향)

  • 홍향숙;이종혜
    • Korean Journal of Human Ecology
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    • v.2 no.1
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    • pp.12-24
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    • 1999
  • This study attempts to explore the effects of personal, household, and environmental factors on household financial management in financial dimensions. Financial management behaviors are constructed with 5 dimensions : income, expenditure, debt, investment and risk management. The specific objectives of this study are : 1) to examine the level of the financial management behavior to the sub-dimensions. 2) to investigate the factors which influence on the level of financial management behavior to the dimensions. The sample consisted of 792 married women living in Seoul. The statistical methods used for analysis included Reliability, Frequencies, Percent, Mean, Standard Deviation, Multiple Regression Analysis. The major results can be summarized as following 1) Among the sub-dimensions, the score of risk management is the most high, 39.00. 2) There are statistically significant differences in the levels and factors which influence on the financial management behavior to the 5 dimensions.(Korean J of Human Ecology 2(l) : 12-24, 1999)

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A Study on the Wine Consumers' Perceived Risk of Purchasing by Involvement (관여도에 따른 와인 소비자의 인지된 구매 위험에 관한 연구)

  • Kim, Maeng-Jin
    • Culinary science and hospitality research
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    • v.14 no.4
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    • pp.232-243
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    • 2008
  • The purpose of this study is to investigate Korean wine consumers' perceived risk dimensions affecting wine purchasing behavior and identify the differences in the dimensions by wine involvement. Questionnaires were collected from the wine purchasers of wine retailer shops in Seoul. 230 data were analysed using SPSS package(v. 12.0). Findings were as follows: (1) There were 5 dimensions in the perceived risk of wine purchasing: functional, social, physical, psychological, financial. Social dimension was the most serious risk for wine consumers, then come psychological, functional, financial, and physical ones. (2) There were significant differences in the perceived risk dimensions by involvement level except the financial dimension. The perception level of wine purchasing risk was relatively low in the high involvement group while high in the middle and low involvement groups.

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거래의 경제적 차원과 관계적 차원이 경로구성원의 이탈성향에 미치는 영향

  • 이찬;임영균
    • Journal of Distribution Research
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    • v.2 no.1
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    • pp.115-141
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    • 1997
  • This study examines the effects of economic and relational dimensions of supplier-distributor relationship on distributors intents to leave. A survey of 121 computer hardware distributors revealed that distributors commitment to the relationship and their transaction-specific investment would decrease directly the level of withdrawal intention. Other relational dimensions such as the procedural and distributive fairness, the morality of aspiration, and economic dimensions such as the transaction-specific investment made by the supplier and distributors expectations fo future performance increase indirectly the level of withdrawal intension via affecting either trust or commitment. The present study also found that perceived uncertainty and relative dependence might moderate the effects the economic and relational dimensions on distributors intents to leave. Relational dimensions, when compared to economic dimensions, tend to have stronger impacts on withdrawal intentions under high levels of uncertainty and relative dependence.

The Effect of Sports Shoes Benefit Pursuit on Purchase Reason, Purchase Evaluative Criteria, and Purchase Information Resource of High School Girls (여고생의 운동화 추구혜택이 구매동기와 구매평가기준 및 구매정보원에 미치는 영향)

  • Choi, Soo-Kyoung
    • Journal of the Korea Fashion and Costume Design Association
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    • v.19 no.1
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    • pp.15-25
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    • 2017
  • The purpose of this study was to investigate the effect of sports shoes benefit pursuit on purchase reason, purchase evaluative criteria, and purchase information resource of high school girls. The data were collected between June 2016 from 287 high school girls in their's, living in Seoul, Daejeon, Gwangju, Daegu, Busan, and Changwon. The data have been analyzed by using SPSS program. The methods of factor analysis, reliability, and regression have been adopted for the data analysis. The results of this study were as followings: The factors of sports shoes benefit pursuits consisted of four dimensions of fashion-pursuit, brand-pursuit, convenience-pursuit, and economy-pursuit. The factors of purchase reasons consisted of three dimensions of syntony, recreation, and economic utility. The factors of purchase evaluative criteria consisted of three dimensions of management, aesthetic appreciation, and symbolism. The factors of purchase information resource consisted of two dimensions of media and human. Sports shoes benefit pursuits had an influence on purchase reasons, purchase evaluative criteria, and purchase information resources. In particular, the fashion-pursuit of Sports shoes benefit pursuits had a great influence on purchase reasons. The brand-pursuit of Sports shoes benefit pursuits had a great influence on purchase evaluative criteria and purchase information resources. It is highly expected that this study is used as the useful sources of sports Shoes industry.

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Quantile Regression with Non-Convex Penalty on High-Dimensions

  • Choi, Ho-Sik;Kim, Yong-Dai;Han, Sang-Tae;Kang, Hyun-Cheol
    • Communications for Statistical Applications and Methods
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    • v.16 no.1
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    • pp.209-215
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    • 2009
  • In regression problem, the SCAD estimator proposed by Fan and Li (2001), has many desirable property such as continuity, sparsity and unbiasedness. In this paper, we extend SCAD penalized regression framework to quantile regression and hence, we propose new SCAD penalized quantile estimator on high-dimensions and also present an efficient algorithm. From the simulation and real data set, the proposed estimator performs better than quantile regression estimator with $L_1$ norm.

Effect of Product Involvement and Brand Preference on Consumers' Evaluation Effort for Multi-Dimensional Prices (소비자의 다차원가격 평가노력에 대한 제품관여도와 브랜드선호도의 영향)

  • Kim, Jae-Yeong
    • Journal of Distribution Science
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    • v.13 no.4
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    • pp.55-64
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    • 2015
  • Purpose - Multi-dimensional prices comprise multiple components such as monthly payments and a number of payments rather than a single lump-sum amount. According to previous studies, an increase in the number of price dimensions leads to a massive amount of cognitive stress resulting in incorrect calculation, and deterioration in the consistency of the price judgment. However, an increase only in the level of complexity of calculating multi-dimensional prices does not always result in a corresponding decrease in the accuracy of price evaluation. Since diverse variables could affect consumers' purchase-decision-making process, the results of price evaluation would be different. In this study, an empirical analysis was performed to determine how the accuracy of price evaluation varies depending on the extent of the complexity of price dimensions using product involvement and brand preference as moderating variables. Research design, data, and methodology - A survey was conducted on 260 students, and 252 effective responses were used for analysis. The data was analyzed using t-test, one-way ANOVA, and two-way ANOVA. In this study, six hypotheses were developed to examine the effect of product involvement and brand preference on consumers' evaluation effort of multi-dimensional prices. Results - As the number of price dimensions increased, accuracy of price evaluation appeared to be low in high involvement, as expected. However, it showed no differences in price evaluation effort when the level of complexity of calculating multi-dimensional prices is low. When a small number of price dimensions are presented in both cases of high and low involvement, accuracy of price evaluation is much higher in a weak brand preference. On the contrary, a strong brand preference enhances an accuracy of price evaluation only in case of low involvement when the number of price dimensions is increased. An interaction effect of product involvement and brand preference on consumers' evaluation of multi-dimensional prices did not exist irrespective of the level of complexity of calculating prices being high or low. Conclusions - When the number of price dimensions is small, consumers' effort for price evaluation shows almost no difference without the moderating effect of involvement, and a weak brand preference leads to a higher accuracy of price evaluation in an effort to make the best selection. No interaction effect of product involvement and brand preference was found except for a main effect of brand preference. When a price is composed of multiple dimensions rendering it more difficult to calculate the final price, the effort for price evaluation was expected to decrease only slightly in case of combination of high involvement and strong brand preference. This is because people have a higher purchase intentions and trust for that particular brand. However, the accuracy of price evaluation was much lower in cases of high involvement, and there was no interaction effect between product involvement and brand preference except for a main effect of involvement and brand preference, respectively.

A Research on Standard Dimensions for Fresh Cut Flower Packages (절화류의 포장규격에 관한 연구)

  • Ha, Young-Sun;Kim, Jong-Kyoung
    • KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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    • v.12 no.1
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    • pp.1-5
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    • 2006
  • Increasement of total cost during distribution chain requires packaging standardization to reduce extra handling and delays at transshipment point. In Korea, high valued agricultural products to export are most often shipped by air freight. Fresh flowers, in particular, the need to set package standard for air palletization are strongly recommended. This study tried to find an optimum standard dimensions for export packages. After extensive research on combinations of various flower dimensions, package dimensions and pallet sizes, we found that 96 inches pallet was most adequate for international air freight. Based on the results, new 40 standard package dimensions were introduced and stacking efficiencies were calculated.

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The Effects of Job Quality on the Health of Wage Workers: Congruence between the Hard and Soft Job Quality

  • KonShik Kim
    • Safety and Health at Work
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    • v.14 no.1
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    • pp.31-42
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    • 2023
  • Background: This study analyzes the linear and non-linear effects of the hard and soft dimensions of job quality on the overall health of wage workers. It also examines the congruence or fit between the hard and soft job quality on the overall health of wage workers. Methods: This study measured thirty indicators that constitute job quality and reduced the indicators into twelve sub-dimensions of job quality using reflective factor analysis. In addition, this study derived two dimensions of job quality from the twelve subdimensions, namely the hard and soft job quality using formative factor analysis. This paper applied the response surface analysis to analyze the congruence effect between the two dimensions of job quality. Results: A logarithmic relationship was found between the dimension of hard job quality and the worker's overall health. This study also verified that the congruence effect between the two dimensions of job quality does not exist, and the combined effect of job quality is lower when the two dimensions of job quality are at the same level than the effect when either level of job quality is high or low. Conclusions: Although hard and soft job quality has independent positive effects on the overall health of wage workers, the two dimensions of job quality are not congruent or not in harmony with each other. This incongruence between hard and soft job quality, together with a higher impact of hard job quality, suggests that the role of soft job quality on overall health is relatively limited.

A Study on the Representation of the Dimensions in the Feature-based Modeler Based on the B-rep (경계 표현법을 기반으로 한 특징 형상 모델러에서 치수 정보의 표현에 관한 연구)

  • 변문현;오익수
    • Korean Journal of Computational Design and Engineering
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    • v.1 no.2
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    • pp.122-132
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    • 1996
  • Features are generic shapes with which engineers associate certain attributes and knowledge useful in reasoning about the product. Feature-based modeling systems support additional levels of information beyond those available in geometric modelers. The objective of this study is to develop a PC level feature-based modeling system which explicitly represents dimensions of the part. The feature-based modeler retains all the benefits of traditional B-rep. solid models, and represents the dimensions at a high level of a abstraction so that dimension driven geometry can be achieved.

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