• Physical Therapy Rehabilitation Science
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• 제11권3호
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• pp.285-295
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• 2022

Objective: The purpose of this study is to use logistic regression and decision tree analysis to identify the factors that affect the success or failurein the national physical therapy examination; and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 76,727 subjects from the physical therapy national examination data provided by the Korea Health Personnel Licensing Examination Institute. The target variable was pass or fail, and the input variables were gender, age, graduation status, and examination area. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In the logistic regression analysis, subjects in their 20s (Odds ratio, OR=1, reference), expected to graduate (OR=13.616, p<0.001) and from the examination area of Jeju-do (OR=3.135, p<0.001), had a high probability of passing. In the decision tree, the predictive factors for passing result had the greatest influence in the order of graduation status (x²=12366.843, p<0.001) and examination area (x²=312.446, p<0.001). Logistic regression analysis showed a specificity of 39.6% and sensitivity of 95.5%; while decision tree analysis showed a specificity of 45.8% and sensitivity of 94.7%. In classification accuracy, logistic regression and decision tree analysis showed 87.6% and 88.0% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. Additionally, whether actual test takers passed the national physical therapy examination could be determined, by applying the constructed prediction model and prediction rate.

• 한국컴퓨터정보학회논문지
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• 제22권9호
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• pp.125-132
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• 2017

The purpose of this study was to examine the factors influencing career preparation behavior based on the perception of college students from the perspective of social cognitive career theory and to examine the effect of career barriers and career decision self - efficacy on career preparation behavior And career - decision self - efficacy. The results of the study are as follows. First, career barriers perceived by college students showed a significant positive correlation with career decision self - efficacy and career preparation behavior(-), and career decision efficacy showed a statistically significant correlation with career preparation behavior(+). Second, as a result of linear regression analysis to examine the effect of career barriers on career preparation behavior, lack of self - clarification, lack of job information, and lack of recognition of need were subordinate factors of career barriers. Third, as a result of linear regression analysis to examine the effect of career decision - making self - efficacy on career preparation behavior, goal setting and job information, which are sub - factors of career decision self - efficacy, were analyzed. Fourth, mediating effects of career decision self - efficacy on career barriers and career preparation behavior were analyzed by hierarchical regression analysis. The results of this study confirm that the level of career barrier, which is an important factor in career preparation behavior of college students, should be lowered and career decision self - efficacy should be increased.

• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• 수산해양교육연구
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• 제16권1호
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• pp.11-20
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• 2004

The purpose of this study was to analyze of career exploration and career decision-making by identity statuses(diffusion, foreclosure, moratorium, achievement) of vocational high school students. The research questions were formulated as follows. (1) Is there a difference in identity statuses by level of the career exploration? (2) Is there a difference in identity statuses by level of the career decision-making? (3) How much identity statuses-identity diffusion, identity foreclosure, identity moratorium, identity achievement-effect to the career exploration and career decision-making? 255 vocational high school students in Pusan were sampled. For the statistical analysis, Oneway, analysis of covariance structure by AMOS 4.0 was applied. The results of the study were as follows. (1) The identity diffusion was low in the level of career exploration, but the identity moratorium and achievement were high in the level of career exploration. (3) The identity diffusion was low in the level of career decision-making, but the identity achievement was high in the level of career decision-making. (4) The identity diffusion effected to negatively career exploration and career decision-making, identity foreclosure effected to low positively career exploration and career decision-making, identity moratorium effected to positively career exploration but negatively career decision-making, identity achievement effected to positively career exploration and career decision-making.

• 한국의상디자인학회지
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• 제14권2호
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• pp.185-198
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• 2012

This study aims to find out the influential factors and the relative power of these factors on the clothing purchase decision in internet shopping mall. For this purpose, this study surveyed 500 male and female consumers in their 20's~40's for empirical analysis who have ever purchased clothing through internet shopping malls. Respondents are selected using the convenience sampling through internet survey in August 2011. For statistical analysis descriptive statistics, reliability analysis, factor analysis and regression analysis are carried out using SPSS for Windows 12.0. The results are as follows. First, purchase decision is significantly affected by the expressional/physical properties of the product and product pictures. Second, purchase decision is significantly affected by the usefulness of shopping mall and the importance of purchase. Third, in consumer related factors, product value awareness, reliability of shopping mall, clothing involvement, psychological/economical perceived risks and age affect purchase decision. Fourth, in the regression analysis of the above significant variables on purchase decision, the order of power of these influential factors is expressional/physical properties of product, the importance of purchase, product picture, age and clothing involvement. The results of this study will help internet fashion enterprises to handle the variables of product, shopping mall, and consumer related for enhancing the purchase rate.

• International Journal of Reliability and Applications
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• 제2권2호
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• pp.137-146
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• 2001

In general, analysis of the decision problems in nuclear system management involves a simultaneous consideration of various criteria and decision alternatives. Sometimes, it is a complex, unstructured, ill-defined process incorporating the multi-criteria and the data of impreciseness. To cope with this analysis, a fuzzy hierarchical analysis methodology is proposed and demonstrated with a simple example.

• 한국신뢰성학회:학술대회논문집
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• 한국신뢰성학회 2000년도 추계학술대회
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• pp.257-267
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• 2000

원자력발전소 주요기기의 교체에 대한 경제성평가는 대부분 결정론적 방법으로 수행하고 있으나 불확실성을 가진 입력변수에 따라 결과 값이 매우 가변적일 수 있다. 현실세계의 불확실성을 보다 면밀히 고려하기 위해 확률론적 방법을 활용하고 있다. 본 논문에서는 decision analysis를 이용하여 원자력발전소 기기 교체에 대한 경제성평가를 확률론적 방법으로 수행하였다. Decision analysis는 불확실성과 위험에 직면한 선택을 이끄는 기회를 이성적으로 개선하기 위한 방법론이며, 확률론과 통계이론이 복합되어 있다. Decision analysis의 주요요소는 여러 가지 방안 중 선택한 대안, 선택으로부터 결정된 결과, 그리고 다른 대안과 비교해서 상대적인 우선순위이다. 또한, decision analysis는 값, 불확실성, 그리고 위험도를 구조적으로 통합하는 원리를 제공한다. Decision analysis의 중요한 이점은 이러한 불확실성과 위험도에 대한 처리에 있으며, 모델은 influence diagram과 decision tree를 이용하여 작성한다. 본 논문에서는 decision analysis를 이용하여 국내 A형 원자력발전소 증기발생기의 최적교체시기를 결정하여 보았다. 이러한 방법은 향후 원자력발전소 주요기기의 교체에 관한 경제성평가시 적용할 수 있을 것으로 기대된다.

• 패션비즈니스
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• 제20권4호
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• pp.36-49
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• 2016

The objective of this study was to examine the effects of appearance management behaviors on career decision level among female college students. Based on previous studies on appearance management behaviors and career decision level, the items for a questionnaire were developed. For the study, we conducted a questionnaire survey among 292 students from women's university in Seoul. Factor analysis, correlation analysis and multiple regression analysis were performed using SPSS statistics 23. Results of this study are as follows. First, the factor structure of appearance management behavior had three factors: 'fashion & hair,' 'skin & plastic surgery,' and 'body shape.' The reliability and validity of the factor structure were proved. Second, a significant correlation was found between sub-factors in appearance management behaviors. Career decision level showed a significant correlation only with body management factor. Third, the appearance management behavior of female college students was found to have a partially significant effect on career decision level. For higher grade students, fashion & hair factor and body shape factor had positive effects on career decision level. For lower grade students, body shape factor had a positive effect on career decision level while skin & plastic surgery factor had a negative effect on career decision level. Therefore, to increase career decision level, managing appearance through keeping fit body shape is crucial. This study also suggests that as one elevates to a higher grade, the importance of management and keeping interest toward fashion is important.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.435-440
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• 2004

Most of our GIS implementation activities have been focussed on the management of urban information in local municipalities. Management of urban facilities has been the major issue of concern and has little role in providing the decision maker with alternatives from which one can analyse and choose the optimum solution. For this reason, the spatial decision support system is in need. Business analysis software is effectively used for site analysis of new stores, customer prospecting and other issues of decision making for business purposes, The same geoprocessing module of business analysis software would be useful if put to use for the management of disaster management especially for storm surge management. Application of the business analysis model for disaster management has been reviewed. Specially in case of storm surge, where quick response is crucial, the spatial decision support system will be most effective.

• 복식문화연구
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• 제12권3호
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• pp.468-484
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• 2004

The purposes of this study were (1) to segment female college students' apparel shoppers into unique apparel buying decision-making style groups; and (2) to profile for each segment in terms of personal characteristics (material values, change seeking tendency and prestige sensitivity) and fashion information sources. Data were collected through questionnaires from convenient sample of 290 female college students. As a result of cluster analysis and univariate analysis of variance, distinctive consumer decision-making style groups of consumers were identified; Value-maximizing Recreational Shoppers, Brand-Maximizing Emotional Shoppers, and Apathetic Shoppers. These three groups were compared as to the effect of personal characteristics variables and fashion information sources through univariate analysis of variance and chi-square statistics. The result showed that personal characteristics (material values, change seeking tendency and prestige sensitivity) and fashion-information sources do influence the consumer decision-making styles and that these three groups were unique in their decision-making characteristics showing that consumer decision-making styles can be a good segmentation base for apparel market.