• Korean journal of food and cookery science
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• v.22 no.1 s.91
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• pp.96-104
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• 2006

This study evaluated the menus of native foods menu in the Jeonju city area in order to present possible improvements. The study examined twenty native food restaurants that target the visitors to the Jeonju city area from July 20 to August 12, 2005. These restaurants specialize in Jeonjubibimbap, Kongnamulgukbap, Hanjeongsik, and Dolsotbibimbap, which are all native foods of Jeonju. Restaurant patrons were randomly selected on leaving the study aim was explained, and questionnaires were distributed. of 200 papers, only 109 were suitable for statistical analysis. First, four factors of menu evaluation were drawn out: inner shape factor of food, outer shape factor of food, sanitation factor, and service factor. Second, the analysis showed statistically significant difference at the 5% significance level in age, job, and monthly income. Third, regression analysis between the factors on menu evaluation and the variables on their intention to visit the restaurant again, indicated that the inner shape factor of food influenced the intention to visit again. It is expected that these study results will assist the employees, restaurant managers, and chefs in making the best practical use of the basic ingredients to promote food quality and increase sales, which will lead to the further development of Jeonju city.

• Journal of the Korean Society of Costume
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• v.63 no.1
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• pp.97-107
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• 2013

To give satisfaction with the fit to a wearer, the wearer's body size and body types should be considered first, this study conducted the descriptive statistical analysis on the upper body measurements of women in their 20s because their body shape has reached the completion stage of adult female's physical development. Also, the analysis classified their upper body types into groups to secure basic data for (maximum satisfaction with the fit of ready-to-wear clothing. The factor analysis was conducted using 49 items of measurement. The main factor analysis was used as a factor extraction method. After extracting the factors with Eigenevalues over 1, the factor loadings were drawn using the Varimax rotation. As a result, 6 factors were extracted. To secure internal consistency, factors that could lower the reliability of the experiment were taken out, so only 36 of the 49 items were used for the analysis. After selecting the items to recognize the main features of each body type, they were used for the final factor analysis. The entire R square of the 6 factors was 84.06%. To classify the upper body types of women in their 20s and to recognize the main features of each body shape type, the researcher conducted the cluster analysis with the items generated from the factor analysis. Through the cluster analysis, the upper body type of women in their 20s were classified into 3 body types. Also, since there are some restrictions on this research objects in terms of local and numbers of measured objects, the results of the this research should only be used as basic data.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.5
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• pp.828-834
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• 1997

The knowledge of material stress-strain behavior is an essential requirement for design and analysis of deformation processes. Empirical stress-strain relationship and constitutive equations describing material behavior during deformation are being widely used, despite suffering some drawbacks in terms of ease of development, accuracy and speed. In the present study, back-propagation neural networks are used to model and predict the flow stresses of a HSLA steel under conditions of constant strain, strain rate and temperature. The performance of the network model is comparedto those of statistical models on rate equations. Well-trained network model provides fast and accurate results, making it superior to statistical models.

• Journal of the Korean Applied Science and Technology
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• v.37 no.2
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• pp.318-327
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• 2020

The purpose of this study was to examine the effect of perceived health status on resilience of life of elderly people participating in physical activity. Total of 282, elderly people participated in this study. Data ware analyzed by descriptive statistical analysis, reliability analysis, exploratory factor analysis, correlation analysis, and multiple regression with SPSS 18.0 ver. program. The results were as following. It was found that sub-factors of perceived health status such as a health care factor, current health factor and future health factor significantly affected resilience of life.

• Journal of Information Technology Services
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• v.11 no.1
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• pp.15-37
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• 2012

This study is progressed for understanding of the acceptance intention differentiated through the view of smart phone non-user's adopting plan. And the research model is proposed in the view of new technology adopting, Innovation Diffusion Theory, Rogers 1995, and Technology Acceptance Model, Davis 1989. In the survey, SPSS 18.0 and AMOS 18.0 are used to analyze the 685 smart phone non-users data. The results of the feasibility analysis and the factor analysis show the measured variables determined in the statistical significant range. Also, 11 hypotheses, among the 16 hypotheses, are adopted by the hypothesis tests through the path analysis, one-way-ANOVA and hierarchial regression analysis. The results indicate variables affect on the non-smart phone user's adopting intention. The primary factor is the perceived usefulness, secondary factor is the social property, and the rest is the playfulness. And, the primary adoption factor is affected to early majority and late majority among each innovation adopters.

• Journal of Korean Academy of Nursing
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• v.49 no.1
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• pp.80-91
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• 2019

Purpose: This study attempted to develop a scale that measures the level of patients' recognition of the nurses' care, based on Watson's caring theory, and confirmed its reliability and validity. Methods: The items were developed through a literature review and an expert content validity test. The questionnaires were administered to 285 inpatients of internal medicine and surgical units at two general hospitals. Construct validity was tested using exploratory and confirmatory factor analysis, and reliability was tested using Cronbach's alpha. Results: This process resulted in a preliminary scale composed of 34 items; We used item analysis and five exploratory factor analyses, and consequently selected 14 items composed of three factors (respect, genuineness, and relationality). The confirmatory factor analysis verified the model fit and convergent and discriminant validity of the final items; criterion validity was confirmed with the positive correlation with the measurement scale of the patient-perceived quality of nursing. The overall scale reliability had a Cronbach's alpha of .92, which indicated internal consistency and reliability. Conclusion: The developed scale showed content, construct, and criterion validity, and reliability, as well as convergent validity for each item and discriminant validity between the factors. This makes it suitable for use in a diverse range of future studies on nurse communication using structural equation models.

• Journal of Korea Society of Industrial Information Systems
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• v.9 no.4
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• pp.32-40
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• 2004

This study tried to analyze the characteristic data, gathered by the semantic differential method, of respondents, user manuals and agricultural machines with the traditional statistical approach, i.e., cluster analysis and factor analysis semantic differential methods. Though the existing papers of the traditional sensory engineering only suggested the fragmentary result of analysis, this study tries to analyze the data with step-by-step approach, in which this study is analyzing the data with cluster analysis to get the characteristics of respondents, and then using the factor analysis to condensing the adjectives of describing the manual characteristics into several components. Concludingly, this study suggested a prototype of analyzing the semantic differential data with using cluster analysis and factor analysis.

• Journal of the Korean Society of Clothing and Textiles
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• v.38 no.4
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• pp.427-439
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• 2014

This study identifies the foot side shapes of elderly men by classifying foot types according to 3D foot shapes and analyzing individual characteristics. The subjects were 284 elderly men over 60 years of age who lived in Gwangju and did not have foot related diseases. They were measured with a scanner (Nexcan$^{(R)}$ of K&I Technology) to obtain three dimensional feet shapes. Anthropometric measuring items consisted of 28 items estimated on the right foot of each subject. 3D scan data were analyzed by various statistical methods such as factor analysis, ANOVA and cluster analysis using the statistical program SPSS 19.0. A total of 7 factors were extracted through a factor analysis and these factors represent 77.56% of total variance. The 8 factors were: inside height and side gradient, ankle thickness, size from foot center to ankle, lateral malleolus height, forefoot height, instep and heel height and gradient. A total of 3 clusters (as foot type) were categorized using 7 factor scores by cluster analysis. Type 1 was classified as high forefoot and low midfoot compared to the length. Type 2 was classified as low forefoot and high midfoot, and type 3 was classified as low forefoot and low midfoot.

• Journal of Korean Home Economics Education Association
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• v.17 no.2
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• pp.129-143
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• 2005

The purpose of this study was to verify the validity of Ohio State Teacher Efficacy Scale(OSTES: Tschannen-Moran, 2000) when used with Korean home economics teachers. To achieve this purposes, the surveys with 263 secondary school home economics teachers was conducted by the prime investigator. Statistical procedures included descriptive statistics, factor analysis, internal consistency. Cronbach's a was calculated to test the reliability of items and their internal consistency and Exploratory Factor Analysis(EFA) was conducted to test the structure of each factors with principal analysis and varimax rotation. Confirmatory Factor Analysis(CFA) was conducted to test the factor validity of this scale with AMOS program. The reliability test result of 20 items appeared Cronbach's a=.86. The factor analysis on teacher efficacy with 263 survey of secondary school home economics teachers produced 5 factors including efficacy in classroom management. efficacy in needs assistance, efficacy in instructional strategies, efficacy in environmental assistance and efficacy in teaming assistance. The validity of teacher efficacy scale was moderately verified by the confirmatory factor analyses(GFI=.87, AGFI=.84. CFI=.86. PNFI=.72, RMR=.05. RMSEA=.07). The results lend a support to the teacher efficacy scale as a valid instrument.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1616-1626
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• 2021

The purpose of this study was to investigate the relationship among perceived environmental factor, active aging and self-rated health for active senior golf participants. The collected data were analyzed using the SPSS 18.0 and AMOS 18.0 programs for Windows. Frequency analysis, confirmatory factor analysis, reliability analysis. After correlation analysis and structural equation model analysis were used. As a results derived through the research are as follows. First perceived environmental factor had a positive effect on active aging. Second, active aging had a positive effect on self-rated health. Third, perceived environmental factor had a positive effect on self-rated health. Fourth, active aging mediated the relationship between perceived environmental factor and self-rated health.