• Journal of the Korean Institute of Rural Architecture
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• v.12 no.1
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• pp.1-8
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• 2010

The purpose of this study was to explore the factors affecting satisfaction of street-scape. According to this purpose, in chapter 2, by inspecting conservation of street environment and streetscape, deduce the frame for analyzing streetscape in commercial district. In chapter 3, analyzing present condition and problems of selected streets in Pohang City, derive the primary factors to induce desirable streetscape through problems and their reason between the analyzed elements of building form. Analyzed elements are composed pavement of road, street furniture, height of buildings, color and material of building and outdoor advertisements, etc. In chapter 4, by conducting a questionnaire survey of pedestrians about street images and the preference, propose the direction of improvement about streetscape in commercial district. As the study method, level of satisfaction was analyzed using the components of street-scape. The collected data was analyzed through Reliability Analysis, ANOVA, Factor Analysis, Regression Analysis. A regression analysis for deriving main factors affecting the satisfaction level of street-scape showed that signboard, sign color, width of street, paving materials, street furniture, open space were found to be the most important.

• Journal of Ocean Engineering and Technology
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• v.26 no.2
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• pp.39-47
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• 2012

The objective of this study was to develop a strength prediction model using a polynomial regression analysis based on the experimental results obtained from ninety samples. As the results of a correlation analysis between various mixing factors and unconfined compressive strength using SPSS (statistical package for the social sciences), the governing factors in the strength of lightweight soil were found to be the crumb rubber content, bottom ash content,and water-cement ratio. After selecting the governing factors affecting the strength through the correlation analysis, a strength prediction model, which consisted of the selected governing factors, was developed using the polynomial regression analysis. The strengths calculated from the proposed model were similar to those resulting from laboratory tests (R2=87.5%). Therefore, the proposed model can be used to predict the strength of lightweight mixtures with various mixing ratios without time-consuming experimental tests.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.316-321
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• 1998

In order to detect causal relationships between latent traits of sensual impressions for a color and physical characteristics constructing it, it is a common practice first to extract latent factors by a factor analysis method and secondly to clarify the causal relationships by a regression analysis method. This paper presents a multivariate statistical technique to detect the influence of the physical characteristics to the latent factors simultaneously which treats the physical characteristics as experimental factors in a $L_{27}$ factorial design and analysis the effects of the factors to the latent trait scores by an ANOVA.

• Journal of Nutrition and Health
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• v.26 no.3
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• pp.357-366
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• 1993

The purposes of this study were to investigate the operational affecting productivity in hospital foodservice, and to examine the relationships between operational factors affecting productivity. The 28 hospitals over 400 beds in Seoul were mailed questionnaires assessing the factors that affect productivity in hospital foodservice(23 hospitals responded). Data analyses included descriptive statistics. Pearson product moment correlation analysis, and stepwise multiple regression analysis. The result of Pearson product moment correlation analysis indicated that the percentage of patient meals was significantly correlated to the productivity (r=.5560, p<.01). Stepwise multiple regression analysis indicated that the percentage of patient meals and the average work hours of employees were significant predictors of the operational factors at productivity.

• Journal of the Korean housing association
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• v.5 no.2
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• pp.65-75
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• 1994

The purpose of this study was analyzed that the house purchasing behavior had on influence on the housing value and the life-style factors. For this purpose, the data were collected by using questionnaire distributed to 251. The data were analyzed by Factor Analysis, Pearson's Correlation Analysis and Multiple Regression Analysis. The major findings of this research were as follow: 1. The housing value factors were classified into condition of location, safety, esthetic, economic and prestige and human relation and approach. The housing life-style factors were classified into ostentation. 2. The house purchasing behavior were correlated with the housing value and the life-style factors. 3. The house purchasing behavior had an influence on the housing value and the life-style factors.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.1
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• pp.118-127
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• 2017

The aim of the present study is to research how the main factors for the export of SMEs affect SME's Export possibility in structural method. 62 SMEs in Busan Region were participated in this study. For the empirical analysis, a multiple regression analysis and a path analysis were used with Spss18 and Amos 5v to figure out the relationship between the main factors and SME's Export possibility(SEP). The main factors as variances are "Manpower Needs(MN)", "Technology Innovation Needs(TIN)", "Education Needs for Export(ENE)" and "Intention of Decision-Maker(IDM)". The result indicated that ENE and TIN with IDM could structurally affect SEP through path analysis and implies that the main factors have to be considered with the intention of decision-maker as CEO for the successful export of SMEs.

• Culinary science and hospitality research
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• v.13 no.3
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• pp.54-67
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• 2007

This study is purposed to find out the relation between the customer loyalty and customer satisfaction factors in Cheonan banquet service. To achieve the objects, customers of banquet companies in Cheonan were selected for a questionnaire survey and a total of 293 valid questionnaires are statistically analyzed, using frequency analysis, factor analysis, reliability analysis and regression analysis. The results can be summarized as follows. First, gender, occupation, family forms showed the statistically different results in the service trust. Second, service trust, menu and traffic factors have been approved to affect the revisit intention of a customer significantly. Third, service trust, menu and facilities factors have been approved to affect the word-of-mouse intention significantly. In summary, banquet managers in Cheonan have to focus on the customer satisfaction factors such as service trust, menu, traffic, facilities to meet the customers' needs.

• Journal of the Korean Society of Food Culture
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• v.20 no.2
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• pp.243-252
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• 2005

This study identified how family restaurant customers' attitude toward yield management strategies, which include reservation, time, menu, and service factors. Generally, yield management explains how price and dining duration maximize the revenue of family restaurants. There are three ways to improve family restaurant yield; improving table turns, upgrading seat occupancy, increasing price per customer. The 45 items of yield management strategies are developed by literature reviews, web sites analysis, and interviews with family restaurant employers. Factor analysis and reliability analysis from present study found out 11 important factors, which represent the study's dependent variables. Regression analysis may be helpful to test whether demographic and socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies. As a regression result, gender, family size, age in demographic factors and education and occupation in socio-economic factors have relationships with family restaurant customers' attitude toward yield management strategies significantly.

• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.3
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• pp.345-352
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• 1999

the purpose of this study was to consider the lower bodyshape factor of girls according to their age groups. The subject were 150 Korean Elementary School Girls and 150 Korean Junior High School Girls. The subjects were directly measured anthropometrically. In first group(Elementary School Girls) the result of factor analysis indicated that 7 factors were extracted through factor analysis and those factors comprise 83.1% of total variance and in second group (Junior High School Girls) 8 factors were extracted through factor analysis and those factors comprise 79.9% of total variance. Lower bodyshape factors were different to each groups. So these systematic information on typical bodyshape were provide to reduce the burden of stocks and increase clothing fitness.

• Journal of Korean Society of Rural Planning
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• v.27 no.2
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• pp.43-48
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• 2021

In this study, an analysis was performed using the growth data and environment data of Korean melon farmers to confirm the influence of environmental factors variables on fruit weight of Korean melon. The analysis results can be summarized as follows. First, it was confirmed that humidity and temperature were recognized as the most important factors among the core factors of korean melon farm production management. Second, The correlation analysis of fruit weight and environmental factors showed a statistically significant soil temperature, internal humidity. Third, The Pooled OLS model estimation results showed that the estimation coefficient for soil temperature is (-), and the estimation coefficient for soil temperature square is (+), indicating that optimal control temperature exists.