• International journal of advanced smart convergence
• /
• v.10 no.2
• /
• pp.123-129
• /
• 2021

The purpose of this study is to analyze the relationship between dance passion, self-management, and dance immersion. Specifically, passion for dance was subdivided into obsessive-compulsive passion and harmonious passion, and these were selected as exogenous variables. In addition, it is intended to provide theoretical and educational implications by analyzing the structural equation model composed of endogenous variables of self-management and dance immersion. The subjects of this study were college students majoring in dance, and the final 206 students were selected as effective samples by the convenient sampling method. For data processing, frequency analysis and reliability analysis were performed using SPSS 23. In addition, AMOS 21 was used for confirmatory factor analysis, correlation analysis, and structural equation model analysis. As a result of the study, first, it was found that both compulsive passion and harmonious passion have a positive effect on self-management. Second, self-management was found to have a positive effect on dance immersion. Third, it was found that compulsive passion had a positive effect on dance commitment, but harmonious passion did not have a statistically significant effect on dance commitment.

• Journal of Korean Academy of Nursing
• /
• v.53 no.4
• /
• pp.480-495
• /
• 2023

Purpose: This study aimed to develop and test a structural equation model on social re-adjustment of individuals with stroke based on a literature review and Roy's adaptation model. Methods: This study involved 321 participants who had a stroke and visited the outpatient department after discharge. The hypothetical model was developed based on Roy's adaptation model and a comprehensive review of previous literature on the topic. The model comprised four exogenous variables (neurological damage, gender [man], age, and social support) and five endogenous variables (activities of daily living, acceptance of disability, depression, rehabilitation motivation, and social re-adjustment). The data were analyzed using SPSS Windows software version 22.0 and AMOS 23.0. Results: Out of 28 research hypotheses, 18 were supported, and they indicated approximately 64% probability of social re-adjustment. Social re-adjustment is directly and significantly affected by age, social support, activities of daily living, and depression. Social re-adjustment is indirectly affected by neurological impairment, gender (men), age, social support, and rehabilitation motivation. Conclusion: Continuous assistance and care should be provided for individuals with disabilities caused by sudden neurological damage to facilitate gradual improvement in their social re-adjustment. To enhance social re-adjustment, especially among older adults, newly developed interventions should focus on improving their activities of daily living, preventing depression, and enhancing support from family and healthcare personnel.

• Educational Technology International
• /
• v.17 no.2
• /
• pp.203-228
• /
• 2016

This study was designed to determine the factors affecting learner satisfaction and examine the relationships of these factors in mobile learning linked to pre-existing e-learning in universities. In the structural model used, three mobile learning quality factors are the endogenous variables, namely, system quality (SYQ), information quality (INQ) and service quality (SEQ) perceived by students, and learner satisfaction (LS), whereas students' self-efficacy (SE) and experience (EX) in mobile learning are the exogenous variables. The subjects were 900 students who registered for mobile learning courses offered by a private university in Seoul, Korea. The results indicated that SE in mobile learning had positive effects on SYQ, INQ, and SEQ. Furthermore, SE influenced LS when analyzed without quality factors as parameters. Mobile learning EX directly affected INQ, but not SYQ or SEQ. EX likewise had a direct effect on LS when analyzed without quality factors as parameters. Meanwhile, both SYQ and INQ showed a positive effect on LS, but not SEQ. SE and EX affected LS indirectly when SYQ and INQ were used as parameters. This study addresses the importance of increasing SE, EX, SYQ, and INQ to increase LS in mobile learning in universities

• Journal of Korean Academy of Nursing
• /
• v.50 no.1
• /
• pp.26-38
• /
• 2020

Purpose: The purpose of this study was to explain a structural model of posttraumatic growth among psychiatric nurses based on existing models and a literature review and verify its effectiveness. Methods: Data were collected from psychiatric nurses in one special city, four metropolitan cities, and three regional cities from February to March 2016. Exogenous variables included hardiness and distress perception, while endogenous variables included self-disclosure, social support, deliberate rumination, and posttraumatic growth. Data from 489 psychiatric nurses were analyzed using IBM SPSS Statistics 19.0 and AMOS 20.0. Results: The modified model was a good fit for the data. Tests on significance of the pathways of the modified model showed that nine of the 14 paths were supported, and the explanatory power of posttraumatic growth by included variables in the model was 69.2%. For posttraumatic growth among psychiatric nurses, deliberate rumination had a direct effect as the variable that had the largest influence. Indirect effects were found in the order of hardiness, social support, and distress perception. Self-disclosure showed both direct and indirect effects. Conclusion: A strategy to improve deliberate rumination is necessary when seeking to improve posttraumatic growth among psychiatric nurses. Enhancing psychiatric nurses' hardiness before trauma would enable them to actively express negative emotions after trauma, allowing them to receive more social support. This would improve deliberate rumination and consequently help promote psychological growth among psychiatric nurses who have experienced trauma.

• STI Policy Review
• /
• v.2 no.2
• /
• pp.45-54
• /
• 2011

This paper develops a recursive multinomial probit model and describes its estimation method. The recursive multinomial probit model is an extension of a recursive bivariate probit model. The main difference between the two models is that a single decision among two or more alternatives can be considered in each choice equation in the proposed model. The recursive multinomial probit model is developed based on a standard framework of the multinomial probit model and a Bayesian approach with a Gibbs sampling is adopted for the estimation. The simulation exercise with artificial data sets is showed that the model performed well. Since the recursive multinomial probit model can be applied to analyze the causal relationship between discrete dependent variables with more than two outcomes, the model can play an important role in extending the methodology of the causal relationship analysis in innovation research.

• Journal of Korean Society of Forest Science
• /
• v.97 no.2
• /
• pp.140-143
• /
• 2008

This study compared the plywood demand prediction accuracy of econometric and vector autoregressive models using Korean data. The econometric model of plywood demand was specified with three explanatory variables; own price, construction permit area, dummy. The vector autoregressive model was specified with lagged endogenous variable, own price, construction permit area and dummy. The dummy variable reflected the abrupt decrease in plywood consumption in the late 1990's. The prediction accuracy was estimated on the basis of Residual Mean Squared Error, Mean Absolute Percentage Error and Theil's Inequality Coefficient. The results showed that the plywood demand prediction can be performed more accurately by econometric model than by vector autoregressive model.

• Journal of Korean Society of Forest Science
• /
• v.95 no.2
• /
• pp.203-208
• /
• 2006

This study compared the roundwood demand prediction accuracy of econometric and time-series models using Korean data. The roundwood was divided into softwood and hardwood by species. The econometric model of roundwood demand was specified with four explanatory variables; own price, substitute price, gross domestic product, dummy. The time-series model was specified with lagged endogenous variable. The dummy variable reflected the abrupt decrease in roundwood demand in the late 1990's in the case of softwood roundwood, and the boom of plywood export in the late 1970's in the case of hardwood roundwood. On the other hand, the prediction accuracy was estimated on the basis of Residual Mean Square Errors(RMSE). The results showed that the softwood roundwood demand prediction can be performed more accurately by econometric model than by time-series model. However, the hardwood roundwood demand prediction accuracy was similar in the case of using econometric and time-series model.

• Asia pacific journal of information systems
• /
• v.14 no.2
• /
• pp.61-86
• /
• 2004

Despite their potential value, the mobile Internet services in the domestic market have not been widely accepted as industry experts have expected. To understand why, this study uses the TAM, Technology Acceptance Model, and explores the factors affecting the usage behavior of the end-users. Based on statistical analysis of survey data, we show that social influence and perceived ease of use affect perceived usefulness, and that self-efficacy and focus significantly influence perceived ease of use. Furthermore, perceived usefulness is shown to play a significant role in explaining actual usage of the mobile Internet services. However, contrary to the hypothesized relationships, service quality, focus, and innovativeness of users turn out to have little impact on the traditional endogenous TAM variables such as perceived usefulness, perceived ease of use, and actual usage behavior. Based on these results, we attempt to provide managerial implications for the domestic mobile Internet service providers and to suggest future research directions in this domain of research.

• The International Journal of Costume Culture
• /
• v.7 no.1
• /
• pp.58-69
• /
• 2004

This study generated a framework to help academicians understand consumers' cultural values and global-mindedness Especially, this study affirmed the importance of fashion involvement in evoking global-mindedness when consumers have strong traditional values. A conceptual model with non-traditional and traditional values as exogenous variables, global-mindedness as endogenous variable and fashion involvement as mediating variable were created for the study. Data from 224 female college students were analyzed for empirical study. Results indicated that college students showed higher level of non-traditional values than traditional values. Non-traditional values had significant direct influence on global-mindedness whereas traditional values did not have significant influence. Traditional values as well as non-traditional had significant influence on fashion involvement. Fashion involvement significantly affected global-mindedness. Both non-traditional values and traditional values had significant positive indirect effects on global-mindedness mediated by fashion involvement.

• Proceedings of the Technology Innovation Conference
• /
• 2004.02a
• /
• pp.83-107
• /
• 2004

This study investigates how and through which channels R&D activities influences the national economy, using a macro-econometric model. The macro-econometric model in this study includes 24 behavioral equations and 25 identities and was estimated using the annual data. From a simulation analysis, it is shown that the R&D investment has a permanent effect on real variables; lowering prices, wages and interest rates, and increasing potential and real GDP in the long run. It is noted that the national account was recalculated to avoid double-counting in estimation of R&D stocks.