• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.26 no.3
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• pp.226-235
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• 2015

Objectives : The purpose of this study was to examine the factor structure of the Adolescent Personality Assessment Inventory (PAI-A) in a standardized adolescent sample using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Methods : For this purpose, three models about factor structure of the PAI-A were explored with EFA in 490 adolescents and then were evaluated with CFA in 268 young offenders. Results : The results showed that the five factor model was considered to be most appropriate for factor structures of the PAI-A in EFA. However, none of the factor models were appropriate for the factor structures of the PAI-A in CFA. Conclusion : These findings suggest that the "five factor model" is thought to explain the PAI-A the best, but further studies are needed.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.910
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• pp.1243-1252
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• 2004

The purpose of this study was to identify the impact of personal values on fashion orientation. As personal values, this study adopted materialism and consumer conformity. Data were gathered by surveying university students living in Seoul metropolitan area using convenient sampling, and 325 questionnaires were used in the statistical analysis. In analyzing data, confirmatory factor analysis and path analysis were conducted using structural equation modeling. Confirmatory factor analysis revealed that fashion orientation has three factors such as fashion leadership, fashion interest, and importance of being well dressed. Path analysis showed that centrality factor of materialism spurred all three factors of fashion orientation and that happiness factor of materialism gave rise to importance of being well dressed of fashion orientation. Informational conformity also significantly increased all three factors of fashion orientation.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.116.3-116
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• 2001

A diagnosis methodology for thickness quality in hot finishing mill is proposed based on multivariate statistical analysis. The thickness of hot strip is a key quality factor that is measured by x-ray thickness gauge. Currently, the thickness quality is guaranteed by upper and lower limit of thickness deviation from target thickness. But if any over-limit is occurred, there is no in-line method to identify the causes. In this paper, many parameters are extracted from the thickness deviation signal such as mean deviation(top, middle, tail), rms deviation(top, middle, tail) and peak deviation(top, middle, tail) as time domain parameters ...

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.865-868
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• 1999

In this paper, indoor propagation characteristics are analyzed for various environments such as corridors, walls and corners. In order to present the statistical model for indoor environments the loss factors of each case are obtained by linear regression analysis method with the function of logarithmic distance between transmitter and receiver.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.3
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• pp.345-352
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• 2000

The purpose of this study was to classify lower body types of elementary school girls. The subjects for anthropometric study were 368 girls aged from 10 to 11. Factor analysis, cluster analysis, discriminant analysis, and analysis of variance were performed for statistical analysis of the data. Four lower body construction factors were extracted by the factor analysis of antropometric measurements. The factors extracted were lower body fatness factor, lower body height factor, lower body length from the waist to the crotch factor, and lower body configuration factor. On the basis of the cluster analysis, three different lower body types were categorized. Type 1 was short and small sized type and 42.4% of subjects belonged under this type. Type 2 was tall and fat type and 22.3% of subjects belonged under this type. Type 3 was the most similar to the average type having the largest waist-hip drop value and 35.3% of subjects belonged under this type. Discriminant analysis showed 7 discriminant factors that can classify the children's lower body type were Rohrer's index, height, fibulae length, waist girth, ilio cristale girth, trochanter girth, and weight.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.3
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• pp.448-462
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• 1995

The purpose of this study was on the development of jeans via conjoint analysis and marketing strategies for each segmented market. The questionnaire was composed vervel card and defining the proper marketing strategies for each segmented market. The 269 usable data was distributed to the Univ student and carrier women through multi- stage , ;ambling. The statistical results were processed by the SPSS, PC MDS, and MANZANOLA program. The used methods of statistical data were conjoint analysis, KYST, PROFIT, factor analysis, frequency, one-way ANOVA, SNK, and paired t-test. The results of this study can be summaries as follows: 1. In competitor analysis, Korean brands were in low price zone, but foreign in high price and character style zone. 2. There was significant differences Korean brands and foreign brands on evaluating. On the basis of the perceptual maps, most of Korean brands were evaluated as having a good price and most of foreign brands were evaluated as having a good design. 3. The optimal jeans has the well-known brand, the price of less than 30, 000 won, traditional style, and good quality. In four attributes of clothing buying process, brand is most important attribute of jeans. Segment market 1.All the jeans that they have is Korean brand. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest. In the clothing sari ales lifestyle, they considered most conviniance. Segment market 2-They have one foreign brand jeans. Income, amount spent per month on clothing, how many having jeans is low market. Self-centered factor is lowest Segment market 3-They have two foreign brand jeans. Income, amount spent pet month on clothing, how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered brand, continuance, and character. Segment market 4-They have more than three foreign brand. Income amount spent per month on clothing, and how many having jeans is high market. Self-centered factor is high. In the clothing variables lifestyle, they considered most brand, and character.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.4 no.2
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• pp.1-9
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• 1986

The marathon course on road surfaces varies frequently in alignment horizontally and /or vertically. This fact compelled use to use a calibrated bicycle method for the course measurement, and to be required statistical approaches for data processing. This paper deals with the computation of the Seoul Olympic Marathon course lengths measured on May 18, 1986. The concept of safety factor against short course is analyzed for certification, and statistical methods are presented to compute an appropriate safety factor. The results of computation show that the best (lowest) actual measurement provides about 99.95% confidence that the combined lengths of all intervals will not be found short upon an equally accurate remeasurement.

• Nuclear Engineering and Technology
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• v.46 no.1
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• pp.81-92
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• 2014

This study suggests 5 evaluation criteria (safety and technology, environmental impact, economic feasibility, social factors, and institutional factors) and 24 evaluation indicators for a NFC (nuclear fuel cycle) derived using factor analysis. To do so, a survey using 1 on 1 interview was given to nuclear energy experts and local residents who live near nuclear power plants. In addition, by conducting a factor analysis, homogeneous evaluation indicators were grouped with the same evaluation criteria, and unnecessary evaluation criteria and evaluation indicators were dropped out. As a result of analyzing the weight of evaluation criteria with the sample of nuclear power experts and the general public, both sides recognized safety as the most important evaluation criterion, and the social factors such as public acceptance appeared to be ranked as more important evaluation criteria by the nuclear energy experts than the general public.

• Journal of Korean Society for Atmospheric Environment
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• v.10 no.E
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• pp.343-356
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• 1994

In this study, a statistical investigation was carried out for the evaluation of any relationship between polycyclic aromatic hydrocarbons (PAHss) associated with ambient aerosols and other air quality parameters under varying meteorological conditions. Daily measurements for PAHs and air quality/meteorological parameters were selected from a data-base constructed by a comprehensive air monitoring in London during 1985-1987. Correlation coefficients were calculated to examine any significant relationship between the PAHs and other individual variables. Statistical analysis was further Performed for the air quality/meteorological data set using a principal component analysis to derive important factors inherent in the interactions among the variables. A total of six components were identified, representing vehicle emission, photochemical activity/volatilization, space heating, atmospheric humidity, atmospheric stability, and wet deposition. It was found from a stepwise multiple regression analysis that the vehicle emission component is overall the most important factor contributing to the variability of PAHs concentrations at the monitoring site. The photochemical activity/volatilzation component appeared to be also an important factor particularly for the lower molecular weight PAHs. In general, the space heating component was found to be next important factor, while the contributions of other three components to the variance of each PAHs did not appear to be as much important as the first three components in most cases. However, a consistency for these components in their negative correlations with PAHs data was found, indicating their roles in the depletion of PAHs concentrations in the urban atmosphere.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.9 no.1
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• pp.1-10
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• 1989

The stress history of a bridge is different depending on the characteristic of traffic flow. Because the flow is varied with vehicle type, weight and headway time etc., statistical analysis in bridges is necessary to estimate the history by traffic flow. By applying the statistical analyses in fracture mechanics, the remaining service life of the structure can be estimated. In this paper, 1)the statistical analysis of vehicle type, weight and headway time etc. to analysis randomness of traffic flow, 2)measuring and analysis of stress history of a real bridge, 3)reappearance of stress history by Monte-Carlo Simulation using constitution ratio of vehicle type, weight and headway time as probabilitic variable, 4)comparision of the calculated and modelled stress history, 5)calculation of reduction factor, 6)comparision of frequency of stress range depending on span length etc. were performed. From the results, the basic modelled stress history which is necessary for the method of estimation of the remaining service life of the structure could be suggested.