• Child Health Nursing Research
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• v.13 no.2
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• pp.201-211
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• 2007

Purpose: This study was designed to construct a structural model to explain the quality of life of grandmothers caring for their grandchildren. Method: Data were collected by self-report questionnaires from 232 grandmothers caring for their grandchildren living in Busan. The data collection period was from June to Oct. 2006. Data analysis was done with SAS 9.13 for descriptive statistics and PC-LISREL 8.52 program for Covariance Structural analysis. Results: The findings found that the fit of the hypothetical model to the data was good, but considering theoretical implications and statistical significances of parameter estimates, paths and variables of the model were modified by excluding 2 paths. The Modified Model with 17 paths showed a good fitness to the empirical data ($X^2=15.492$ (df=11, p=.161), GFI=.985 AGFI=.940 NFI=.982 RMSR=.037 RMSEA=.042). Health status, health problems, economical status, life events, caring stress, caring efficacy and life satisfaction had significant effects on quality of life in the grandmother caring their grandchildren, but of these variables, self-esteem was the most essential factor. All predictive variables of quality of life together explained 63.9% of the variance. Conclusion: The derived model in this study was confirmed to be proper in explaining and predicting the quality of life of the grandmothers caring their grandchildren.

• Korean Journal of Adult Nursing
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• v.27 no.6
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• pp.624-633
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• 2015

Purpose: This study was to develop and test a theoretical model based on the revised health belief model explaining osteoporosis prevention behaviors among postmenopausal women under 65. Methods: This secondary data analysis included 342 postmenopausal women under 65 from original data sources of a total of 734 women. The measured instruments were scales for osteoporosis awareness, osteoporosis health belief scale (benefit, barrier, susceptibility, severity, and health motivation), self-efficacy, and osteoporosis prevention behaviors. Data were analyzed using SPSS/WIN 20.0 and AMOS 20.0. Results: The mean age of the subjects was 55.2 years and the mean age of menopause was 51.10. The hypothetical model of osteoporosis prevention behaviors was relatively fit. Osteoporosis prevention behaviors were significantly explained up to 62% by expectation factors (relative benefit, self-efficacy, health motivation) and modifying factors(knowledge only). Expectation factors of health belief had a mediation effect between modifying factors and prevention behaviors. Conclusion: This study partially supported the revised health belief model for explaining osteoporosis prevention behaviors. It provides a basis for developing an educational program focusing on expectation factors and knowledge with the aim of behavioral changes for osteoporosis prevention.

• Journal of Korean Academy of Nursing
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• v.38 no.6
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• pp.779-788
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• 2008

Purpose: This study was designed to construct a structural model explaining depression in university students. Methods: Data were collected from 1,640 university students by questionnaire, and analyzed using AMOS 5.0 to test the hypothetical model. Results: Fitness statistics for the modified model were GFI=.93, AGFI=.89, NFI=.91, and RMSEA=.081. All the 12 paths in the modified model proved to be statistically significant. Depression of university students accounted for 52% of the covariance by the factors. The factor that had the most influence on depression was individual vulnerability, and followed by sequence order, stress, social support, coping, and self-efficacy. Depression was influenced directly by individual vulnerability, stress, social support, and coping, and indirectly by individual vulnerability, stress, social support, and self-efficacy. Conclusion: A screening and management system for the high risk group is needed to effectively prevent depression and reduce rate of depression in university students. Detailed support programs which specifically deal with prevailing stressors should be developed to effectively reduce the harmful effects of individual vulnerability and stress. It is anticipated that the model constructed in this study could be utilized as a reference in developing various strategies to prevent and intervene depression in university students.

• Journal of the Korean Institute of Landscape Architecture
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• v.23 no.1
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• pp.95-109
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• 1995

All human spatial behavior and psychological stress are affected by the 'Privacy'of each space. This Paper deals with the theoretical review of 'privacy'concept and establishment of 'Privacy Model' that can be a useful design tool. 'Privacy Index(Pl)' model of 10 point scale, which is based on 'Hierarchic system of Privacy' in urban spaces by Chermeyeff and Alexander(1963), was established as a hypothetical model in this study. And'Activity Suitability', based on each hierarchy of primacy level, was investigated at each site to construct the validity of 'Privacy Model'. Total 67 sites were investigated by on.-site questionnaire in 3 types of outdoor spaces, (Park), (Campus), and (Garden) respectively. The major results are as follows; 1. The P7rivacy level of earth spaces, distributed from to in and . and (Groun Private> spaces are dominant In , spaces are dondnant 2, Privacy level, based on , showed higher privacy level than that of . This means the criteria of each privacy level should be modified for more specific space. The . could be derived from the (Activity Suitability) of each space. 3.The cognition of privacy level. by user group, showed no significant difference in dach group by sex, age, education, and job, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.163-163
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• 2019

The rapidly growing global population increases the awareness of water, energy, and food security worldwide. The concept of Water, Energy, and Food nexus (hereafter, WEF nexus) has been widely introduced as a new resources management concept that integrate the water, energy, and food in a single management framework. Recently, WEF nexus analyzes not only the interconnections among the resources, but also considers the external factors (such as environment, climate change, policy, finance, etc) to enhance the resources sustainability by proper understanding of their relations. A nation-level resources management is quite complex task since multiple regions (e.g., watersheds, cities, and counties) with different characteristics are spatially interconnected and transfer the resources each other. This study proposes a multiple region WEF nexus simulation and transfer model. The model is equipped with three simulation modules, such as local nexus simulation module, regional resources transfer module, and optimal investment planning module. The model intends to determine an optimal capital investment plan (CIP), such as build-up of power plants, water/waste water treatment plants, farmland development and to determine W-E-F import/export decisions among areas. The objective is to maximize overall resources sustainability while minimize financial cost. For demonstration, the proposed model is applied to a semi-hypothetical study area with three different characterized cities. It is expected the model can be used as a decision support tool for a long-term resources management planning process.

• Research in Community and Public Health Nursing
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• v.33 no.3
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• pp.321-331
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• 2022

Purpose: This study is to establish a structural model for standard precautions compliance of nursing students. This conceptual model was based on the IMB (Information-Motivation-Behavioral skills) model of Fisher and Fisher. Methods: Data were collected from October 12 to December 1, 2020, and the subjects were nursing students from G metropolitan city and J province, and the data of a total of 334 subjects were analyzed. For data analysis, this study used the SPSS 24.0 and AMOS 24.0 programs. Results: The hypothetical model showed a good fit to the data: 𝑥²=106.46 (p<.001), 𝑥²/df=2.54, RMSEA=.07, SRMR=.04, CFI=.96, TLI=.94. It was confirmed that the variables that have a statistically significant influence on the standard precautions compliance in nursing students were in the order of self-efficacy, social support, personal attitude, and standard precautions knowledge. The model explained 48.3% of the variance in standard precautions compliance of nursing students. Conclusion: It is necessary to develop and apply various specialized extracurricular programs that can induce an individual attitude toward observing standard precautions compliance in a positive direction in relationships with teachers and peers and gain their support.

• Nuclear Engineering and Technology
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• v.55 no.6
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• pp.2263-2275
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• 2023

In general, an internal fire events probabilistic safety assessment (PSA) model is quantified by modifying the pre-existing internal event PSA model. Because many pieces of equipment or cables can be damaged by a fire, a single fire event can lead to multiple internal events PSA initiating events (IEs). Consequently, when the fire events PSA model is quantified, inappropriate minimal cut sets (MCSs), such as duplicate MCSs, may be generated. This paper shows that single quantification of a hypothetical single-top fire event PSA model may generate the following four types of inappropriate MCSs: duplicate MCSs, MCSs subsumed by other MCSs, nonsense MCSs, and MCSs with over-counted fire frequencies. Among the inappropriate MCSs, the nonsense MCSs should be addressed first because they can interfere with the right interpretation of the other MCSs and prevent the resolution of the issues related to the other inappropriate MCSs. In addition, we propose a resolution process for each of the issues caused by these inappropriate MCSs and suggest an overall procedure for resolving them. The results of this study will contribute to the understanding and resolution of the inappropriate MCSs that may appear in the quantification of fire events PSA models.

• Journal of the Korean Society of Food Culture
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• v.22 no.6
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• pp.794-800
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• 2007

The purpose of this study was to measure the tourists' preference for alternative restaurants with different combinations of 4 attribute levels: origin description, food type, price and service guarantee. A total of 210 questionnaires were completed from tourists who visited Kwangyang, Suncheon and Yeosu during Jan. 2 - Jan. 15, 2007. Conjoint experiment method was used to develop hypothetical restaurants. Ordinal probit model was used to measure the effects of attribute levels on the tourists' preference. Results of the study demonstrated that the ordinal probit model analysis result for the data indicated excellent model fit. The effects of attribute levels (origin description, traditional food, fusion food, price, service guarantee) on the tourists' preference were statistically significant. As expected, estimates of marginal willingness to pay for origin description(3.063), food type(2.349), and service guarantee(2.356) were statistically significant. Moreover, tourists were more willing to pay for origin description than other attribute levels. Tourists also considered the origin description as the very important attribute. In conclusion, based on conjoint analysis, a model was proposed of marginal willingness to pay of attribute levels. It should be noted that the original model was modified and should, preferably, be validated in future research.

• The International Journal of Costume Culture
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• v.8 no.2
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• pp.111-123
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• 2005

In the fashion retail research, the role of fashion salesperson and their job satisfaction have been getting attentions. The purpose of this study was to investigate the elements affecting the job satisfaction of fashion salesperson. A hypothetical path model of job satisfaction of fashion salesperson was developed and tested. Empirical data were collected with a written survey instrument. Data were collected from 150 fashion salespersons during 2001 fall, and finally 101 responses were analyzed. As results of series of regression analysis, final job satisfaction model was identified. Job satisfaction of fashion salesperson was affected by subjective job aptitudity, salary, fashion product knowledge. fashion involvement, and work experience. Managerial implication and research limitation were discussed.

• Journal of the Korean Statistical Society
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• v.20 no.2
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• pp.191-201
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• 1991

Given a set of data pxN$_{i}$, matrices X$_{i}$ observed from p-variate normal populations $\prod$$_{i}$~N($\mu$$_{I}$, $\Sigma$$_{i}$) for i=1, …, K, the test for equality form of the covariance matrices is to choose a hypothetical model which best explains the homogeneity/heterogeneity structure across the covariance matrices among the hypothesized class of models. This paper describes a test procedure for selecting the best model. The procedure is based on a synthesis of Bayesian and a cross-validation or sample reuse methodology that makes use of a one-at-a-time schema of observational omissions. Advantages of the test are argued on two grounds, and illustrative examples and simulation results are given.are given.