• Culinary science and hospitality research
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• v.14 no.3
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• pp.156-164
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• 2008

This study analyzed the effect of the environment of cooking education institutes on students' study satisfaction and re-registration in Busan, in order to provide those students with good education environment and useful information. The survey was conducted from March 25th to April 11th, 2008. 300 copies of the questionnaire were distributed and 293 copies were returned, among which 270 copies(unsuitable 23 copies were excluded from the analysis) were included as reliable statistical data for analysis. To figure out the result, frequency analysis, reliability verification(Cronbach's Alph), factor analysis and regression analysis were employed in this study. Analyzed factors included cooking environment factor, education service factor, additional factor and lecturer's attitude factor. For the regression analysis to find out the effect of cooking education environment factor on study satisfaction and re-registration, it was found that cooking environment factor, education service factor, additional factor and lecturer's attitude factor had significant effect on study satisfaction and re-registration, which meant that the assumptions 1, 2, 3, 4 and 5 were adopted in this analysis. For the regression analysis to find out the effect of the satisfaction for the environment of cooking education institutes on re-registration, it was found that study satisfaction had significant effects on re-registration and the assumption 6 was adopted. Through this study, it was suggested that the satisfaction and re-registration of cooking education institutes were influenced by all factors, especially for cooking environment and education service. Thus, it is necessary to improve the old environment for cooking education and cooking education programs. Also, continuous study should be conducted to secure potential customers in the future.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.7
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• pp.1050-1060
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• 2009

This study develops a scale for consumer clothing satisfaction based on Lee et al. 's (2002) five stages of the consumer life cycle (acquisition, possession, consumption, maintenance, and disposal). Data were gathered by surveying college students using convenience sampling, and 419 questionnaires were used in the statistical analysis. In analyzing the data, an exploratory factor analysis and a confirmatory factor analysis using a structural equation modeling were conducted. The proposed scale, which identified various sources of satisfaction and dissatisfaction associated with the 5 consumption cycles of clothing, suggests some guidelines for marketers in enhancing consumer clothing satisfaction across consumption stages. The model test for the scale also identified that consumption satisfaction had the greatest effect on consumer clothing satisfaction showing the strongest loading and squared multiple correlation.

• KCID journal
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• v.18 no.2
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• pp.66-75
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• 2011

Multivariate statistical analysis was applied to 110 dam heightening reservoir to classify the building conditions for waterfront centered around cultivated area using data of land cover, landscape, additional water quantity, local economic, tourism resources, and accessibility related variables. Five factors were extracted through factor analysis based on eigen value criteria of more than one. These five factors together account for 68.2% of the total variance. Characteristics of five factors for the downstream of dam heightening reservoirs are building conditions of waterfront, economic conditions, additional water quantity, eco-tours, and accessibility of tourism resources respectively. Five clusters were classified through cluster analysis based on factor score. The classified result shows that third cluster has remunerative terms for building waterfront.

• Journal of Korean Society for Atmospheric Environment
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• v.14 no.1
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• pp.11-23
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• 1998

The purpose of this study was to survey chemical distribution of inorganic elements and ions in the submicron particles, to characterize qualitatively emitting sources by factor analysis, and finally to reveal existing patterns in terms of chemical compounds by a stepwise multiple regression analysis. Total of 141 samples were collected by a cascade impactor from 1989 to1996. Fifteen chemical species (Al, Ba, Cd, K, Pb, Cu, Fe, Ni, $Cl^-, NO_3^-, SO_4^{2-}, K^+, Mg^{2+}, Ca^{2+}, and Na^+$) were characterized by AAS and IC. The study showed that average seasonal levels of submicron particulate matters $(d_p<0.43 \mum)$ were 18.7 $\mug/m^3$ in spring, 15.5 $\mug/m^3$ in summer, 15.7 $\mug/m^3$ in fall, and 24.5 $\mug/m^3$ in winter, respectively. All of the anion concentrations in the particle were highest in the winter season. By applying a factor analysis, 5 source patterns were qualitatively obtained, such as sulfate related source, nitrate related source, oil burning source, calcium related source, and coal combustion source. Finally, when applying a stepwise multiple regression analysis, the results clearly showed that $Na^+ and Ca^{2+}, K^+ and Ca^{2+}, NO_3^-$ and relative humidity, $Cl^-$ and ambient temperature, $Ca^{2+} and Cl^-, Mg^{2+} and SO_4^{2-}, Na^+ and NO_3^-, and Ca^{2+} and NO_3^-$, respectively, are negatively contributed to each other. As a result of those statistical analysis, we could suggest that some chemical compounds in the submicron particles such as$NaNO_3, MgSO_4, Ca(NO_3)_2, and CaCl_2$ may not exist on the filter as final composing products; however, other compounds may possibly exist in the form of $Mg(NO_3)_2, CaSO_4, Na_2SO_4, K_2SO_4, MgCl_2, NaCl, and KCl$. Thus, it must be necessary to identify differences between the results of above statistical analysis and of the real world by laboratory experiments.

• 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".

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.131-140
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• 2015

After drawing the sensory images from the color green, the difference of sensory images and the difference of the color green according to demographic characteristics and which factors affect the preference have been analysed. The thirty six-photos of 2013 women fashion show on the STYLE.COM were used for the stimuli of green colour fashion for the questionnaire. The people surveyed were adults in their 20s to 50s. The 123 copies of the questionnaire were used for the statistical analysis of this study. Factor analysis, Cronbach's ${\alpha}$ test, t-test, ANOVA, Duncan test and Regression analysis test were carried out by SPSS 19 for the statistical analysis of collected data. The results were as follows. The sensory images of green fashion were drawn in six types. The sensory images of green fashion according to demographic characteristics showed a significant difference depending on martial status, age, monthly income and occupation. The preference of green colour fashion according to demographic characteristics showed a significant difference depending on sex, age, monthly income, occupation. The variables affecting the preference of green fashion were identified as four types, and the most affecting variable to the preference was the favorable and familiar factor. These research results will become available on selecting the target customer and making the marketing differentiation strategy when planning fashion products.

• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.1
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• pp.159-169
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• 1998

The purpose of this study was to develop a large representative data base of market information for jeans apparel. This study was to observe consumer buying behavior and to determine the market share of various brands depending on several variables such as age and distribution regions. This study also analyzed the major factors in purchasing jeans for 17-29 age groups. The 660 questionnaires were distributed and 618 reliable ones were used for statistical analysis. A SAS statistical package including frequency' table, Chi-square test, factor analysis, analysis of variance(ANOVA), Duncan's multiple range test was used. The results of this study showed that consumer possessed about 6 pairs of jeans and bought about 3 pairs of jeans per year. The most recently purchased brand was Nix. Lots of brands were statistically significant at the segmented three age groups and in the five different distribution regions. The most popular type of design was the basic style. The result of factor analysis indicated 4 factors(quality/comfort, famous brand/fashion, mood/extrinsic attitude, economy). The result of ANOVA represented that three factors among them have influenced on the preferred design types.

• Korean journal of food and cookery science
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• v.23 no.6
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• pp.930-939
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• 2007

The purpose of this study was to suggest ways for practical food coordination, by examining restaurant-visitor' expectation factors for food coordination in restaurants. Statistical analyses were carried out based on the statistical data collected via survey from the restaurant. visitors. For the data analysis, factor analysis, reliability analysis, frequency analysis, t-test, and ANOVA were applied, using the SAS 9.1(ver.) program. In the results for the general perception of food coordination, the degree of recognition by restaurant visitors for food coordination is not high. However, necessity for food coordination is highly recognized and a 70% of the respondents were positive in their response about an expropriation price. Fitty percent of the respondents indicated a positive response regarding the relationship between the visual effect of the food and a re-visit to the restaurant. Therefore, most restaurant visitors believe food coordination is necessary in restaurants, and expect to pay for it in price.

• The Korean Journal of Applied Statistics
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• v.29 no.2
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• pp.381-388
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• 2016

It is common to quantify the concept of interest in the social and human sciences to test a research hypothesis. In such a case, it is strongly recommended to investigate if the procedure is appropriately designed and implemented according the research purpose since the quantification procedure highly affects the result of statistical analysis. In this work, we propose a visualization tool which enables us to check the construct validity of a measurement tool (such a questionnaire) in a concise and convenient way based on a penalized factor analysis model. We illustrate our method with numerical simulation and real data analysis.

• Korean journal of food and cookery science
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• v.28 no.6
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• pp.721-729
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• 2012

This paper aimed to investigate the influence of consumer lifestyle on consumer selection of bakery cafe attributes. Data were collected through a self-administered questionnaire by 403 random consumers between the ages 20s and 30s in several bakery cafes in Seoul and Gyonggi area. Different methods of statistical analysis had been used such as frequency analysis, factor analysis, k-means clustering analysis, cross tabulation, one way ANOVA and Duncan's multiple range test with SPSS for Window 13.0 package. First, when analyzing the 16 questions of comsumer lifestyles, four factors were extracted: 'dining out-oriented factor', 'achievement-oriented factor', 'brand-oriented factor', and 'health-oriented factor'. Second, the respondents were divided into three groups by k-means cluster analysis: no interest group, dining-out & value oriented group, and health-brand oriented group. Third, consumer's bakery cafe attributes were categorized into five factors including 'food', 'convenience and image', 'store promotion', 'positive dining experience', and 'menu & merchandises'. Finally when analyzing the differences in the selection of bakery cafe attributes according to consumer's lifestyles, it showed a significant differences.