• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.311-320
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• 2018

This study was conducted to investigate the relationship among major satisfaction (MS), clinical competence (CC), career decision-making self-efficacy (CDMS), and career decision level (CDL) for undergraduate nursing students. A self-report instrument was used to measure MS, CC, CDMS, and CDL. Questionnaires were completed by 307 nursing students in three nursing colleges, and path analysis was employed to validate the proposed model and analyze the causal relationships among variables. Four constructs (MS, CC, CDMS, and career decision) were analyzed. To build a path model, MS and CC were linked to CDMS and career decision. The initial analysis suggested that the modification needed modification; therefore, a covariance link was added. The overall goodness of fit for indices indicated satisfactory path analysis. The indices were revealed as $x^2=2412$, GFI=0.996, AGFI=0.961, and RMSEA=0.068. As a result, the proposed model was acceptable with a good fit, and there were significant direct and indirect effects of paths in the model. Specifically, MS and CC had a direct influence on CDMS, and MS and CDMS directly affected CDL. Moreover, MS and CC had indirect effects on CDL through CDMS. These results imply that students' CDMS should be seriously considered when designing counseling programs for career guidance, and substantiality of CC education is needed to improve CDMS. These results may provide a practical guideline to provide educational intervention for nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.7
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• pp.4580-4587
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• 2014

This study provides an improved transportation mode choice models applicable to the Busan-Ulsan Metropolitan area by scrutinizing previous study results developed using the multinomial logit model. Although the previous model has an appropriate modeling structure in terms of the sign of coefficient estimates and goodness-of-fit, the model ignores the total number of trips and traffic congestion condition between the two zones and partially reflects zone-specific variables and choice set. Therefore, this study considered all of these modeling faults by re-constructing the representative utility functions. The modeling results show that travelers in Busan-Ulsan metropolitan area tend to choose their mode using mode-specific characteristics rather than the classical travel time and/or cost variables.

• International Journal of Highway Engineering
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• v.9 no.1 s.31
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• pp.17-27
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• 2007

Since early 1990s, several developed countries have applied the Electronic Toll Collection System (ETCS) to toll roads in order to solve traffic congestion and delay problems at toll plazas. For the successful operation of the ETCS, it is important to correctly forecast the ETCS using rate. In this study, it was conceived to develop a sophisticated demand forecasting model of the ETCS for toll roads in Changwon City The Binary Logit and neural network models were tested for the model considering 11 explaining variables. The best results in prediction accuracy and goodness-of-fit were obtained on the neural network model. However, because of the difficulty in predicting the 11 variables and its fitness in wide range, the Binary Logit model which considers three policy variables only is recommended as the model to forecast the ETCS using rate.

• The Korean Journal of Applied Statistics
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• v.21 no.5
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• pp.813-823
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• 2008

The non-homogeneous Poisson process(NHPP) based software reliability growth models are proved quite successful in practical software reliability engineering. The fault detection rate is usually assumed to be the continuous and monotonic function. However, the fault detection rate can be affected by many factors such as the testing strategy, running environment and resource allocation. This paper describes a parameter estimation of software reliability growth model with change-point problem. We obtain the maximum likelihood estimate(MLE) and least square estimate(LSE), and compare goodness-of-fit.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.281-288
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• 2020

The objective of the study was to identify the structural relationship between adolescent athletes'positive thinking and coping flexibility, burnout. In order to achieve such research goal, male and female athletes'from physical education middle and high schools across the nation were recruited; using a convenience sampling method, a total of 333 samples were selected as the final effective samples. The data went through a goodness-of-fit test for the whole model using SPSS 20.0 and AMOS 20.0 and a hypothesis test. The result is as follows: first, positive thinking was revealed to have significant influence on coping flexibility. second, repertories and flexible a subfactor of coping flexibility, had significant negative (-) effects on burnout, whereas reflective had no significant effects on it. Third, positive thinking was revealed to have no significant influence on burnout. In conclusion, although positive thinking is a variable that is based on internal information, positive thinking did not directly affect psychological burnout, but coping flexibility can be used to prevent burnout.

• Convergence Security Journal
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• v.6 no.3
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• pp.117-126
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• 2006

Bayesian inference and model selection method for software reliability growth models are studied. Software reliability growth models are used in testing stages of software development to model the error content and time intervals between software failures. In this paper, could avoid multiple integration using Gibbs sampling, which is a kind of Markov Chain Monte Carlo method to compute the posterior distribution. Bayesian inference for general order statistics models in software reliability with diffuse prior information and model selection method are studied. For model determination and selection, explored goodness of fit (the error sum of squares), trend tests. The methodology developed in this paper is exemplified with a software reliability random data set introduced by of Weibull distribution(shape 2 & scale 5) of Minitab (version 14) statistical package.

• Korean Journal of Social Welfare
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• v.67 no.3
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• pp.151-180
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• 2015

This study aimed to develop a scale to measure physical health behaviors among social work clients using general services. The scale items were constructed based on literature review and FGI of social workers. Exploratory factor analysis and confirmative factor analysis affirmed the factor structure of Physical Health Behavior Scale with two sub-scales: Health Promotion Behavior Scale and Health Hindrance Behavior Scale. Promotion Scale had 7 factors and Hindrance Scale had 5 factors. Both sub-scales showed acceptable ranged goodness-of-fit for the model, and internal consistency test proved that the scale was reliable. The analyses of discriminant validity, convergent validity, and concurrent validity resulted significant validation. Based on those results, the developed Physical Health Behavior Scale were proved well-constructed, reliable and valid. The Scale will be utilized for both clients in general to check their own health related behaviors and social workers to adopt as a tool for assessment in order to perform an evidence based practice.

• Journal of the Korean Data and Information Science Society
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• v.23 no.3
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• pp.505-514
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• 2012

This study is for effectiveness of golf skills to average score using path analysis in Professional golf association. The variables in this study were that seven independent variable were driving accuracy, green in regulation, driving distance, sand save ratio, scrambling, putting average, and two endogenous variables were birdie average, bogey average, and dependent variable was the scoring average. To analyze these variables, path analysis was used through AMOS 18.0 program and Alpha level sets at.05. As the result, the final model had significant goodness-of-fit (GFI=.989, RMSEA=.044, TLI=.991, CFI=.998) and showed that green in regulation, driving distance, sand save ratio, scrambling, and putting average significantly affected average score directly. Especially, the scrambling was the highest affectation to average score and the sand save ratio was the lowest affectation to the average score.

• Korea Real Estate Review
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• v.28 no.3
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• pp.21-35
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• 2018

The recent performance of residential mortgages demonstrated how default risk operated separately from prepayment risk. In this study, we investigated the determinants of the borrowers' decisions pertaining to early termination through default from the mortgage performance data released by Freddie Mac, involving securitized mortgage loans from January 2011 to September 2013. We estimated a Cox-type, proportional hazard model with a single risk on fundamental factors associated with default options for individual mortgages. We proposed a mortgage default model that included two specifications of delinquency: one using a delinquency binary variable, while the other using a delinquency probability. We also compared the results obtained from two specifications with respect to goodness-of-fit proposed in the spirit of Vuong (1989) in both overlapping and nested models' cases. We found that a model with our proposed delinquency probability variable showed a statistically significant advantage compared to a benchmark model with delinquency dummy variables. We performed a default prediction power test based on the method proposed in Shumway (2001), and found a much stronger performance from the proposed model.

• The Korean Journal of Woman Psychology
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• v.15 no.4
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• pp.759-777
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• 2010

This study aims to investigate the mediating role of patriarchal attitudes on the relationship between family violence witness and dating sexual violence among Korean college students. The participants were 383 college student (193 males and 190 females) who had the experience of dating relationship. The psychological tests used in this research included the following: Witness of Family Violence, Patriarchal Attitudes, Dating Sexual Violence Experiences. In order to verify the models, goodness of fit and significant paths were verified through structural equation model(SEM). According to the results, family violence witness, itself, had influence on male students' dating sexual assault, and patriarchal attitudes caused by family violence witness had influence on dating sexual assault. Also, family violence witness had influence on female students' dating sexual violence, and patriarchal attitudes caused by family violence witness had influence on dating sexual violence.