• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.123-132
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• 2013

Purpose: To develop and test the validity and reliability of the Korean version of the Family Management Measure (Korean FaMM) to assess applicability for families with children having chronic illnesses. Methods: The Korean FaMM was articulated through forward-backward translation methods. Internal consistency reliability, construct and criterion validity were calculated using PASW WIN (19.0) and AMOS (20.0). Survey data were collected from 341 mothers of children suffering from chronic disease enrolled in a university hospital in Seoul, South Korea. Results: The Korean version of FaMM showed reliable internal consistency with Cronbach's alpha for the total scale of .69-.91. Factor loadings of the 53 items on the six sub-scales ranged from 0.28-0.84. The model of six subscales for the Korean FaMM was validated by expiratory and confirmatory factor analysis (${\chi}^2$ <.001, RMR<.05, GFI, AGFI, NFI, NNFI>.08). Criterion validity compared to the Parental Stress Index (PSI) showed significant correlation. Conclusion: The findings of this study demonstrate that the Korean FaMM showed satisfactory construct and criterion validity and reliability. It is useful to measure Korean family's management style with their children who have a chronic illness.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.285-294
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• 2019

The purpose of this study is to assess construct validity and verify the concept of the Happiness-enhancing Activities and Positive Practices Inventory(HAPPI) developed by Henricksen & Stephens(2013), for Korean old adults who participating physical activities with measuring happiness-related propensity. In this study, the research model was confirmed by evidenced based on the content validity, EFA, construct validity of the latent structure analysis with CFA, reliability as internal consistency. Using self-reported questionnaire conducted among 370 participants who physical activities. Total of 344 data were selected. As a result, internal consistency α was acceptable. Evidence-based on convergent and discriminant of the CFA as GFI=.925, CFI .962, TLI .953, and RMSEA .062 appeared significantly. Model goodness-of-fit, C.R. ratio(Critical ratio: estimates/SE) and Squared Multiple Correlations(SMC), and average variance extracted(AVE) was verified with the hypothesis of the model. Therefore, HAPPI validity evidence for the model fit was confirmed. In conclusion, the HAPPI 4 factors and 16 items(Other-focused, Personal recreation and interests, Achievement, Self-Concordant Work, Spiritual and thought-related) has reliable evidence to apply for Korean old adults and applicable assessment of happiness.

• Management & Information Systems Review
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• v.3
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• pp.47-76
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• 1999

Management Information System(MIS) User satisfaction, which was introduced at the earlier 1990's, has become a core way of strategic method. But domestic companies have little experience toward this concept and the methodological knowledge was not cumulated yet. So the definition of User satisfaction, as well as the validity and objectivity toward the estimation, is being under discussion In this report we will contain the contents as follows, 1) investigate limitations of exposed theories about Methodology, 2) look into the situations and handicaps of User satisfaction estimation which is being used in practical domains on company, 3) search for the better way in application through comparative analysis between case study of customer satisfaction structure by structural equation model and by ordinary estimation model. We have conclusions through model that Index values like GFI AGFL RMR are accepted as within limited range for estimating validity of used model. so we can expect to use the results for deduce accurate User satisfaction index. Therefore satisfied Users became lesser at complaint behavior instead higher at repurchase likelihood, while unsatisfied Users became lower. Results as above are accordance with the previous studies, and that proves ACSI model to be applied toward local MIS Users' case. Even though the scopes of this research are restricted in domestic market of MIS Users, ACSI model itself has developed with the purpose for compatibility toward inter-company and inter-industry. So this model can be applied beneficially in the future study to analyse the extent that latent variables affect to User satisfaction.

• Journal of Korean Academy of Nursing
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• v.45 no.3
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• pp.429-438
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• 2015

Purpose: This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN). Methods: This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0. Results: We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit. Conclusion: KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.3
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• pp.109-114
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• 1996

Generally, the size of our recreation sites is selected through use demand at the peak day. At same time, scale economic and diseconomic are applied to a recreation site. If you are a rational decision-maker, you would like to select the size of your park at profit-maximization point. This study is the first try for modelling a Gain-Loss by the size options of a theme park. For testing the validity of a financial model to select the size of theme parks. Ever-Land, Seoul-Land, Dream-Land's operating size was analyzed. By the size options, the revenue of each park was compared with cost. The profit-maximization point and break-even point of each park were found. Ever-Land and Dream-Land's size was selected between the profit-maximization point and the break-even point. In contrast with Ever-Land and Dream-Land's, Seoul-Land's was selected upper the break-even point. To increase the utility of this model in selecting the size of a theme park, a decision-maker must keep in mind a few limits of this study. That is, 1) this model can not be applied at public parks. 2) Sometimes the others can be more important than financial revenue and cost. Finally, there is the validity of Gain-Loss Model in estimating only the financial revenues and costs through the size options.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.2-2
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• 2000

This paper presents an adaptive control against uncertainties in tail-controlled STT (skid-to-Turn) missiles. First, we derive an analytic uncertainty model from a parametricaffine missile model developed by the authors. Based on this analytic model, an adaptive feedbacklinearizing control law accompanied by a sliding model control law is proposed. We provide analyses of stability and output tracking performance of the overall adaptive missile system. The performance and validity of the proposed adaptive control scheme is demonstrated by simulation.

• Journal of Korean Academy of Nursing
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• v.39 no.5
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• pp.700-708
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• 2009

Purpose: This study was done to test the validity and reliability of the Adolescent Mental Problem Questionnaire (AMPQ) for Korean high school students. Methods: The AMPQ was designed to assess adolescents', mental health status and problem behavior (Ahn, 2006). A methodological study design was used with exploratory factor analysis, Pearson's correlation coefficients, and a fitness of the modified model for validity. Also, Cronbach's alpha coefficients and alternative-form method for reliability were used. AMPQ was tested with a sample of 36,313 high school students. The participants consisted of 18,701 males and 17,612 females. Results: Seven factors were extracted through factor analysis: 'Psychiatric problems', 'Delinquency', 'Academic troubles', 'Family problems', 'Hazardous behavior', 'Harmful circumstance', 'Eating problems'. These factors explained 51.1% of the total variance. The fitness of the modified model was good ($X^2$=38,413.76, Goodness of Fit Index [GFI]=.94, Adjusted Goodness of Fit Index [AGFI]=.93, Comparative Fit Index [CFI]=.95, Root Mean Square Error of Approximation [RMSEA]=.05), and concurrent validity with Korea-Youth Self-Report [K-YSR] was .63. Cronbach's alpha coefficient of the 31 items was .85. Conclusion: The results of present study suggest that the modified AMPQ instrument may be useful for efficiently assessing mental health status and problem behavior in late adolescent, high school students.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.181-185
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• 2010

The current method for accessing interconnection charges in Korea, called a hybrid model in this paper, mixes a top-down with a bottom-up LRIC model. The method has given stable charges so far. However, according to the fundamental changes of the market, policy, and network technology in the telecommunications industry, it requires analyzing the validity of the method. We investigate the problems of the top-clown, bottom-up, and hybrid model used in Korea and analyze their effect on regulation policy.

• International journal of advanced smart convergence
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• v.7 no.1
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• pp.24-32
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• 2018

An outlier detection method using mixed prediction model has been described in this paper. The mixed prediction model consists of time-series model and regression model. The parameter estimation of the prediction model was performed using supervised learning and a genetic algorithm is adopted for a learning method. The experiments were performed in artificial and real data set. The prediction performance is compared with the existing prediction methods using artificial data. Outlier detection is conducted using the real sensor measurements in a dam. The validity of the proposed method was shown in the experiments.

• Journal of Korean Society for Quality Management
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• v.39 no.1
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• pp.90-97
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• 2011

The purpose of this study is to analyze various factors comprising a job satisfaction; determine possible factors that affects job satisfaction. Job satisfaction model is designed to evaluate major factors, such as job stress and strength, and to assess relationship between these factors. Partial least squares algorithm is used to develop a job satisfaction measurement model. To evaluate validity of developed model, survey data of health insurance review and assessment service is to applied.