• Journal of agricultural medicine and community health
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• v.20 no.2
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• pp.121-131
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• 1995

This study aims 1) To explicate the multidimensional structure of a widely used measure of subjective well-being, the Philadelphia Geriatric Center(PGC) Morale Scale is used to measure health in elderly populations and 2) To examine the relationship between the socioeconomic status and related variables, health and physical disability and subjective well-being in elderly populations. The selection of subjects was determined through a survey of 672 rural dwelling elderly persons(269 males and 403 females) aged 60 years and over. The respondents were interviewed by 18 trained health workers using the questionnaire from July 4 to July 9 in 1994. The subjects were surveyed again during the period from August 1 to August 6 in 1994 to conform the questionnaire's reliability. Subjective well-being was evaluated using the Revised Questionnaire of the Philadelphia Geriatric Center(PGC) Moral Scale(17 items, Lawton, 1975). The results are as follows : 1) The item scores were intercorrelated and subjected to a principal component analysis. A rotated three-factor solution was done, accounting for 40.9% of the total variance. Thus, the PGC morale Scale can be derived from three stable factors : Factor 1 was explained "Lonely Dissatisfaction(7 items)", Factor 2 was explained "Agitation (5 items)", Factor 3 was explained "Attitude Towards Own Aging (5 items)". Further, these factors have a high degree of internal consistency, as determined by Cronbach's alpha : 0.7852. 2) The total mean score of PGC Morale Scale was 8.73. Sex, Age, Education, Current disease, Family type, Economic status, ADL, IADL were significantly difference in mean scores of PGC morale scale. 3) In the results of stepwise multiple regression analysis of subjective well-being. the most contributing factors were economic status, IADL, current disease, family type, sex and the R square was 0.23.

• Journal of the Korea Fashion and Costume Design Association
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• v.8 no.3
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• pp.119-128
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• 2006

The augmentation in social deviation of adolescence is one of the issues that modern society should resolve. Deviation behavior of adolescents is often expressed as clothing behavior being against the social or school rules. Therefore, to understand the social deviation and clothing behavior of adolescents, the study investigated the relationship with the level of social deviation, clothing interest, the attitude toward clothing, and clothing deviation. Survey was utilized to collect the data and subjects were 411 female high school students. Principal component analysis and regression analysis were used to analyze the data. While the level of social deviation of female high school students had no statistically significant influence on the fashion-oriented attitude, clothing interest of them had an effect on the fashion-oriented attitude, suggesting that adolescents, having a high interest in clothing, thought the fashion-oriented attitude as an important clothing attribute. The level of social deviation of subjects had a statistically significant influence on the behavior of clothing deviation. The less the subjects took an interest in clothing and the lower the level of social deviation was, the more they thought the status-oriented clothing attitude as an important clothing attribute. Also, the result revealed a similar tendency in the modesty-oriented clothing attitude to that in the status-oriented clothing attitude.

• Journal of Forest and Environmental Science
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• v.34 no.2
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• pp.101-107
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• 2018

We identified the main impacts, drivers, and restoration projects for Atlantic Forest in Northwest of the Rio Grande do Sul State, Brazil. The objective was to analyze the quantity, distribution, and causes of the environmental crimes in 2000-2014. To verify differences between degraded and restored areas, we performed a t-test; ANOVA for the municipalities with more quantity of crimes, simple linear regression analysis for the relationship between sizes of degraded areas and quantity of seedlings planted, and Principal Component Analysis (PCA) for environmental damages categories and population of the municipalities. The main environmental damages found were deforestation outside permanent preservation area (20%) and those related to Permanent Preservation Area (37%). Environmental crimes in these areas fall into two categories: native and exotic vegetation removal (17%), and impediment to natural regeneration (20%). The average size of the degraded areas was $5,359{\pm}526m^2$, while for restored areas was $3,337{\pm}255m^2$. The sizes of the degraded fragments were similar among the five municipalities with the higher number of environmental crimes (ANOVA: p>0.05, F=1.24; df=241). The number of seedlings planted was positively related to the sizes of the degraded fragments (p<0.001, $R^2=0.53$). Segregation between the less and the most populous municipalities was found with the PCA analysis along PC1 (51.7%), while PC2 represented 19.2% of the total variation. The most populous municipalities showed the highest number of environmental crimes, and the majority of degraded areas were recovered by planting native seedlings. Atlantic Forest fragments need to be recognized and preserved as an ecosystem with a unique ecological function by the population and public administration.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.4 no.2
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• pp.1-11
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• 1984

This aims of this study is to analyse the correlationship between traffic accident s and traffic characteristic variables in at-grade intersections of urban area, to build up an accident forecasting model and to propose an evaluation method of hazardous at-grade intersections. The accident forecasting model is formulated by the use of residual indexes that is selected by principal component analysis and its statistical significance is tested by step-wise regression analysis. Effective countermeasures for safety can be established on the basis of identifying high accident intersections, because the validity of this model was examined and found to coincide with real world situations.

• Korean journal of food and cookery science
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• v.24 no.6
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• pp.780-787
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• 2008

The principal objective of this study was to determine the effects of service quality in a Korean restaurant in a Five Star Hotel in Metropolitan city causes on customers satisfaction, revisiting intentions and word of mouth communication. As a component of the study, 344 customers who had visited restaurants at 4 hotels were selected for our Q&A research, Our investigation was conducted largely frequency analysis, reliability analysis, factor analysis, and multiple regression analysis. First, as one of our study results, factors causing effects in service quality can be categorized into human service factors, physical service factors, and menu service factors. Second, the service quality of Korean restaurants has been found to exert effects on customer satisfaction, revisiting intentions, and word-of-mouth communication. Third, customer satisfaction has been determined to exert significant effects on revisiting intentions and word of mouth communication. Fourth, customer revisiting intentions has been found have been shown to exert significant effects on word-of-mouth communication. As one of the limits of this study, some difficulties did occur when attempting to implement Q&A research on customers who enjoyed restaurant services, as there was not sufficient space to interview them. As another limit, this study was conducted only with test subjects who had visited Korean restaurants in Five Star Hotels the results of our study cannot, then, be considered represent active of all Korean restaurants. Consistent with this future studies will need to be conducted not only with Korean restaurants, but also with Japanese, Chinese, and Western restaurants.

• Journal of the Korean Data and Information Science Society
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• v.28 no.6
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• pp.1501-1509
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• 2017

Wins above replacement (WAR) is the most commonly used statistics of the sabermetrics that measure baseball players' abilities. The advantage of a WAR is that it enables to compare performances of players even though they have different roles such as pitcher and hitter. However, WAR is difficult to obtain with common records. Thus, a past studies (Lee and Kim, 2016) suggested the batting ability index to determine the ability of the batter focused on the sabermetrics statistics WAR. In this paper, we selected the best hitter with applying Korea baseball 2016 data based on a proposed model and then observed a total raking of others according to BAI. We are assured that BAI is very excellent statistics through comparing BAI and WAR which is in the spotlight in evaluating performances of players.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.12
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• pp.1736-1740
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• 2004

Since the application of relatively high levels of heavy metals in the compost poses a potential hazard to plants and animals, the content of heavy metals in the compost with animal manure is important to know if it is as a fertilizer. Measurement of heavy metals content in the compost by chemical methods usually requires numerous reagents, skilled labor and expensive analytical equipment. The objective of this study, therefore, was to explore the application of near-infrared reflectance spectroscopy (NIRS), a nondestructive, cost-effective and rapid method, for the prediction of heavy metals contents in compost. One hundred and seventy two diverse compost samples were collected from forty-seven compost facilities located along the Han river in Korea, and were analyzed for Cr, As, Cd, Cu, Zn and Pb levels using inductively coupled plasma spectrometry. The samples were scanned using a Foss NIRSystem Model 6500 scanning monochromator from 400 to 2,500 nm at 2 nm intervals. The modified partial least squares (MPLS), the partial least squares (PLS) and the principal component regression (PCR) analysis were applied to develop the most reliable calibration model, between the NIR spectral data and the sample sets for calibration. The best fit calibration model for measurement of heavy metals content in compost, MPLS, was used to validate calibration equations with a similar sample set (n=30). Coefficient of simple correlation (r) and standard error of prediction (SEP) were Cr (0.82, 3.13 ppm), As (0.71, 3.74 ppm), Cd (0.76, 0.26 ppm), Cu (0.88, 26.47 ppm), Zn (0.84, 52.84 ppm) and Pb (0.60, 2.85 ppm), respectively. This study showed that NIRS is a feasible analytical method for prediction of heavy metals contents in compost.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.754-767
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• 2013

In this study, I tried to find the effect of elderly volunteerism satisfaction(personal achievements, social actvity, social responsibility) on the ego-integrity(attitude about life, satisfaction of the present life, the acceptance of the past living, the acceptance of aging). For the study, I collected 360 samples from people of 60 year-old adults who reside of in Gyeonggi-do. I used frequency analysis, principal component factor analysis, reliability analysis, T-test, ANOVA, hierachial regression analysis with SPSS 18,0. The results are as follows, First, volunteerism satisfaction on the ego-integrity, In the way of the effect of only personal achievements affects positive effects. Second, effect of self-efficacy volunteerism on the satisfaction and the ego-integrity between analysis attitude about life and satisfaction of the present life are meaningful but the acceptance of the past living and the acceptance of aging are not meaningful anout moderating effects. Theird, satisfaction about aged population sociological character level of significance were difference in factors.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.183-191
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• 2018

In this study a traffic volume dependent displacement estimation model for Gwangan Bridge was developed using bridge monitoring big data. Traffic volume data for four different vehicle types and the vertical displacement data in the central position of the Gwangan Bridge were used to develop and validate the estimation model. Two statistical estimation models were developed using multiple regression analysis (MRA) and principal component analysis (PCA). Estimation performance of those two models were compared with actual values. The results show that both the MRA and the PCA based models are successfully estimating the vertical displacement of Gwangan Bridge. Based on the results, it is concluded that the developed model can effectively be used to predict the traffic volume dependent displacement behavior of Gwangan Bridge.

• Nutrition Research and Practice
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• v.10 no.6
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• pp.616-622
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• 2016

BACKGROUND/OBJECTIVES: In Argentina, obesity prevalence rose from 14.6% in 2005 to 20.8% in 2013. Although the number of studies on noncommunicable diseases and dietary patterns as a unique dietary exposure measure has increased, information on this topic remains scarce in developing countries. This is the first population-based study investigating the association between diet and obesity using a dietary pattern approach in Argentina. We aimed (a) to identify current dietary patterns of the population of $C{\acute{o}}rdoba$ city, (b) to investigate its association with obesity prevalence, and (c) to identify and describe dietary patterns from the subgroup of people with obesity. SUBJECTS/METHODS: The $C{\acute{o}}rdoba$ Obesity and Diet Study (CODIES) was conducted in $C{\acute{o}}rdoba$ city by using a random sample of n = 4,327 subjects between 2005 and 2012. Empirically derived dietary patterns were identified through principal component factor analysis. A multiple logistic regression analysis was used to investigate the association of dietary patterns with obesity. RESULTS: Four dietary patterns were identified, called "Starchy-Sugar", "Prudent", "Western", and "Sugary drinks". High scores for the "Western" pattern (with strongest factor loading on meats/eggs, processed meats, and alcohol) showed a positive association with obesity (OR: 1.33, 95% CI: 1.06-1.67, for third versus first tertile of factor score). "Meats/Cheeses" and "Snacks/Alcohol" patterns emerged in people with obesity. CONCLUSIONS: The findings suggest that high adherence to the "Western" pattern promoted obesity in this urban population. In addition, people with obesity showed characteristic dietary patterns that differ from those identified in the overall population.