• Journal of the Korean Society for information Management
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• v.19 no.3
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• pp.49-68
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• 2002

The purpose of this paper is to examine the evaluation models of internet sites and to analyze the factors affecting the consumer satisfaction of health information sites in the Internet. Based on the covariance structural model applied to a customer survey, this study shows that among the characteristics of the site. contents has the most significant effect on customer satisfaction, which in turn affects the consumer willingness to recommend the site to others.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.71-90
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• 1994

This study investigated sex differences in children's self-efficacy and causal relationships between children's self-efficacy and home environment. The home environment factors included mother's efficacy, marital satisfaction, child rearing attitudes, and socio-economic status. The subjects were 491 fifth and sixth grade children and their mothers. The data were analyzed by t-test using the SAS $PC^+$ program and covariance structural analysis using the PC-LISREL VI. The results showed that there were no sex differences in children's global self-efficacy level, but there were sex differences in some subfactors. Furthermore, we found that the same causal model appears for both sexs in the relationship between home environment and children's self-efficacy. That is, socio-economic status of the home and mother's psychological factors influenced mother's attitudes for child rearing which had a direct impact on children's self-efficacy.

• Journal of Distribution Science
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• v.11 no.1
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• pp.7-14
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• 2013

Purpose - This study focuses on an empirical analysis of the factors affecting the behaviors of consumers who are extremely attached to branded products, and who commit themselves to renting them. Research design, data, methodology - The survey was conducted on college students enrolled in marketing classes. In total, 240 questionnaires were distributed. A total of 226 were returned. Questionnaires, excluding those that were void, were used for empirical analysis. We confirmed that the research model is sound by using a covariance structural analysis, and estimated its parameters. To estimate these parameters, a maximum likelihood method was used. Results - This study confirms that prominence and self-expressiveness positively affect brand attachment. Further, positive beliefs about, and the practicality of renting branded goods, influence attitudes toward their rental. In addition, commitment to renting branded goods is positively affected by attachment to the brand and attitude towards goods rental. Conclusions - Marketers should manage positive beliefs in and the practicability of renting branded goods, as well as the self-expressiveness and prominence of such products.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.754-760
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• 2004

The purpose of this paper is to examine the empirical analysis for charging factors and the evaluation models of internet site. Thus this is to analyze the charging factors affecting the consumer satisfaction of health information sites in the Internet. Based on the covariance structural model applied to a customer survey, this study shows that among the characteristics of the site, contents has the most significant effect on charging factor and customer satisfaction, which in turn affects the consumer willingness to recommend the site to others.

• Korean Journal of Child Studies
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• v.33 no.2
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• pp.185-201
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• 2012

The purpose of the present study was to investigate the structural relationships between adolescent problem behaviors and related variables. The subjects of this study consisted of 250 to second graders from a middle school in S city in the Gyeongbuk province of South Korea. The sample variance-covariance matrix was analyzed using AMOS 20.0, and a maximum likelihood minimization function. The results were as follows : First, marital conflict in terms of the father's open communication model indicated both a direct and indirect effect upon adolescent problem behaviors. Marital conflict in terms of the father's problematic communication model revealed an indirect effect upon adolescent problem behaviors also indicated that these behaviors were also mediated by the father's problems communication. Second, a open communication style on the part of the father indicated a partially mediating effect on the relationship between marital conflict and adolescent problem behaviors. The problematic communication model on the part of the father revealed a very clear mediating effect on the relationship between marital conflict and adolescent problem behaviors.

• Korean Journal of Adult Nursing
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• v.20 no.2
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• pp.187-199
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• 2008

Purpose: This study is to develop a hypothetical structural model of the quality of life of single aged women and to explain the compatibilities between the models and actual data. Methods: Ten theoretical variables were used to evaluate of the quality of life of single aged women. 300 of single aged women were selected as the subjects. A hypothetical prediction model of quality of life was tested by the covariance structure analysis with PC-LISREL 8.12. Results: Economy, religion activity, leisure activity, social support, self-esteem, depression and health prompting behavior were the significant variables which affected to the quality of life directly in the single aged women. But social support, self-esteem affected to them indirectly. Knowing perceived health status directly but it affected indirectly to the quality of life in single aged women. Conclusion: In this study, it was discovered that self-esteem was the most important factor to affect to the quality of life in single aged women and the next was the depression and health promoting behavior. As a result, it was discovered that age, economic status, self-esteem and depression were the significant factors to affect to the quality of life in single aged women.

• The Journal of the Korea Contents Association
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• v.20 no.3
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• pp.41-48
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• 2020

The purpose of this study is testing measurement invariance of the school vitality scale across the level of school. For this study, 3,156 elementary school teachers and 4,411 secondary school teachers were surveyed. As a result, school vitality scale was found to have the same factor structure in the structure regression model. Second, the factor load of the measurement model was found to be the same. Third, the structural path coefficients were the same. Fourth, structural covariance was found to be the same. Fifth, the structural residuals were the same. Based on these findings, it can be concluded that we can use school vitality scale both elementary school and secondary school. This study will contribute to diagnosing school vitality levels and finding ways to improve school management.

• Journal of Korean Society of Forest Science
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• v.97 no.3
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• pp.340-347
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• 2008

This study investigates the conceptional structure between festival service quality, visitor's satisfaction, loyalty and festival effects in the Juwangsan Sudalrae mountainous local festival. In order to analyze the structural equation model the paper employed the LISREL (linear structural relationships) approach, covariance structural equation model. Data of 445 visitors were collected from the Juwangsan Sudalrae festival in 2008. Research findings showed that experience, facility and service are positively related to visitors' satisfaction. In addition, visitors' satisfaction is related to loyalty and festival effects. One of the major research findings is that the festival service most affects visitors' satisfaction. This implies that the host of mountainous local festival must put great emphasis on organizing hospitality and festival information. This will lead the festival to a great success and ultimately bring positive impacts to the mountainous residents.

• Smart Structures and Systems
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• v.13 no.2
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• pp.257-280
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• 2014

In this paper, a novel PARAllel FACtor (PARAFAC) decomposition based Blind Source Separation (BSS) algorithm is proposed for modal identification of structures equipped with tuned mass dampers. Tuned mass dampers (TMDs) are extremely effective vibration absorbers in tall flexible structures, but prone to get de-tuned due to accidental changes in structural properties, alteration in operating conditions, and incorrect design forecasts. Presence of closely spaced modes in structures coupled with TMDs renders output-only modal identification difficult. Over the last decade, second-order BSS algorithms have shown significant promise in the area of ambient modal identification. These methods employ joint diagonalization of covariance matrices of measurements to estimate the mixing matrix (mode shape coefficients) and sources (modal responses). Recently, PARAFAC BSS model has evolved as a powerful multi-linear algebra tool for decomposing an $n^{th}$ order tensor into a number of rank-1 tensors. This method is utilized in the context of modal identification in the present study. Covariance matrices of measurements at several lags are used to form a $3^{rd}$ order tensor and then PARAFAC decomposition is employed to obtain the desired number of components, comprising of modal responses and the mixing matrix. The strong uniqueness properties of PARAFAC models enable direct source separation with fine spectral resolution even in cases where the number of sensor observations is less compared to the number of target modes, i.e., the underdetermined case. This capability is exploited to separate closely spaced modes of the TMDs using partial measurements, and subsequently to estimate modal parameters. The proposed method is validated using extensive numerical studies comprising of multi-degree-of-freedom simulation models equipped with TMDs, as well as with an experimental set-up.

• The Korean Journal of Applied Statistics
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• v.28 no.1
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• pp.61-74
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• 2015

Structural equation modeling (SEM) is a widely used in social sciences such as education, business administration, and psychology. In SEM, the latent variable score is the estimate of the latent variable which cannot be observed directly. This study uses stagewise structural equation modeling(stagewise SEM; SSEM) by partitioning the whole model into several stages. The traditional estimation method minimizes the discrepancy function using the variance-covariance of all observed variables. This method can lead to inappropriate situations where exogenous latent variables may be affected by endogenous latent variables. The SSEM approach can avoid such situations and reduce the complexity of the whole SEM in estimating parameters.