• 기본간호학회지
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• 제19권4호
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• pp.463-473
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• 2012

Purpose: The main purpose of this study was to identify factors affecting medication adherence and to develop an explanatory model for medication adherence in elders with chronic disease. Method: Empirical data were collected from 312 older adults with chronic disease and the data collect period was from August 8 to 31, 2011, and were analyzed using SPSS for Windows 19.0 program and confirmatory factor analysis with the structural equation model (SEM) procedure performed with AMOS 19.0 program. Results: Results of this study showed that perceived self-efficacy was the strongest factor influencing medication adherence, and it affected also outcome expectations positively but impediments were negatively influenced by self-efficacy. Outcome expectations and impediments subsequently acted on medication adherence with the same relationship as self-efficacy. In additional results, self-efficacy and medication adherence were further significantly affected by the factors; social support, medication knowledge, and depression. Conclusion: These results show that nursing interventions to promote medication adherence in this population should focus on self-efficacy promotion including social support, education for delivery of medication knowledge, and reduction in depression.

• 기본간호학회지
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• 제17권1호
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• pp.45-54
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• 2010

Purpose: The purpose of this study was to develop and test an explanatory model of dyspnea in patients with chronic lung disease (CLD). Methods: Participants were 181 patients with CLD, recruited from the outpatient pulmonary clinic of one university hospital in Korea. Data were collected using questionnaires, as well as measurement of 6-minute walking distance (6MWD), oxygen saturation ($SpO_2$), FEV1% predicted, and Body Mass Index (BMI). Results: The results indicated a good fit between the proposed dyspnea model and the collected data [$x^2$=91.27, p= .13, $x^2$/d.f.=1.17, Normal Fit Index= .934]. Oxygenation ($SpO_2$, = -.530), self-efficacy (= -.429), anxiety (= .253), depression (= .224), exercise endurance (6MWD, = -.211), and pulmonary function (FEV1% predicted, = -.178) had a direct effect on dyspnea (all p< .05) and these variables explained 74% of variance in dyspnea. BMI, smoking history, and social support had an indirect effect on dyspnea. Conclusion: The findings of this study suggest that comprehensive nursing interventions should focus on recovery of respiratory health and improvement of emotions, exercise ability, and nutritional status. From this perspective, pulmonary rehabilitation would be an effective strategy for managing dyspnea in patients with CLD.

• 성인간호학회지
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• 제20권4호
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• pp.652-663
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• 2008

Purpose: This study was conducted to develop and test an explanatory model on functional capacity in patients with chronic obstructive pulmonary disease using path analysis. Methods: Data were collected from 149 chronic obstructive pulmonary disease patients using 6-minute walk test, measurement of oxygen saturation, pulmonary function test, and self-reported questionnaires from June to October, 2005. The collected data were analyzed using SPSS/WIN 12.0 program and AMOS/WIN 4.0 program. Results: The overall fitness indices of modified model were good($x^2$ = 14.324, p = .281 GFI = .981, RMSEA = .006, AGFI = .944, NFI = .927, NNFI = .999, CFI = .999, PNFI = .613, $x^2$/df = 1.194). Functional capacity was influenced directly by age(${\beta}$ = -.304, p = .000), dyspnea(${\beta}$ = -.278, p = .000), self-efficacy(${\beta}$ = .240, p = .000), social support(${\beta}$ = .175, p = .004), pulmonary function(${\beta}$ = .169, p = .008), and oxygen saturation(${\beta}$ = .099, p = .048). These variables explained 39.3% in functional capacity. Conclusion: The findings of this study suggest that comprehensive nursing interventions should focus on decreasing dyspnea and increasing self-efficacy, social support, and oxygen saturation. In this perspective, pulmonary rehabilitation would be an effective strategy for improving functional capacity in patients with chronic obstructive pulmonary disease.

• 대한간호학회지
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• 제37권7호
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• pp.1080-1090
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• 2007

Purpose: Although concerns of female sexual dysfunction (FSD) are increasing in Korea, sexual dysfunction related factors are limited in research studies. The aim of this study was to develop an explanatory model that will further explain the continuously increasing female sexual dysfunction cases in Korea. Methods: Survey visits were conducted to four hundred and eighty five women, over 25 years of age and presently residing in either urban or rural areas. All of them were analyzed using a structured questionnaire. A total of 8 instruments were used in this model. The analysis of data was done with both SPSS WIN for descriptive statistics and AMOS 5.0 for covariance structure analysis. Results: As a result, variables that showed notably direct effects on FSD were: sexual concept (sexual attitude), sexual distress, and psychosocial health (depression, crisis, traumatic life events). On the other hand, variables such as age, educational level, economic status, and marital status showed indirect influences on health-promoting behaviors. Conclusion: By comprehensively addressing the factors related to sexual dysfunction, and comparing each influence, this study can contribute to designing an appropriate sexual dysfunction prevention strategy in tune with the particular characteristics and problems of a client.

• Journal of the Korean Data and Information Science Society
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• 제23권4호
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• pp.643-648
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• 2012

여러 임상자료를 이용하여 반응변수와 설명변수간의 관계를 규명하는 분석이 많이 이루어지고 있다. 이를 위해서 회귀분석이 흔히 사용되고 있으며, 이를 통해 설명변수가 반응변수를 얼마나 설명하는지 또한 모형이 얼마나 자료에 적합한지에 대해 분석하고 있다. 그러나 임상자료로 분석된 회귀모형에 대한 타당성 확인은 대부분 분석된 회귀모형이 얼마나 자료를 설명하는가를 나타내는 결정계수만을 살펴보는 것에 그치고 있다. 결정계수 이외의 다른 방법으로도 분석된 회귀모형의 회귀계수에 대한 타당성을 확인할 필요가 있다. 따라서 본 논문에서는 잭나이프 회귀분석과 붓스트랩 회귀분석을 이용하여 임상자료로 분석한 회귀모형의 회귀계수에 대한 타당성을 확인하는 방법을 소개하고자 한다.

• 재무관리연구
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• 제22권2호
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• pp.43-69
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• 2005

본 논문은 한국 주식시장에서 CAPM 베타의 시간에 따른 변동패턴을 설명하는데 있어서 베이지안 분석기법에 기반을 둔 확률베타모형(stochastic be model)이 기존의 조건부 베타모형이나 이변량 GARCH(1,1)모형보다 추정의 정확도나 베타의 설명력 측면에서 더 우월하다는 실증적 증거를 보여주었다. 확률베타모형으로 추정한 베타는 주식수익률의 횡단면 변동의 $30{\sim}50%$를 설명하는 반면, 다른 시변베타모형은 3% 이하의 설명력에 그쳤다. 이렇게 확률베타모형에서 추정된 베타의 높은 설명력은 흔히 시장이상현상으로 받아들여지고 있는 기업규모효과나 장부가/시가비율효과, 고유변동성효과들을 대부분 흡수하는 것으로 나타났다. 이것은 시장이상 현상들이 베타 참값의 변동과 밀접하게 관련되어 있으며, 기대수익률 변동과 깊은 관련이 있다는 합리적 자산가격결정의 입장을 지지하는 것으로 해석된다.

• 응용통계연구
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• 제8권1호
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• pp.61-74
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• 1995

오늘날에는 컴퓨터를 이용한 다양한 그래프기법의 개발로 자료로부터 정보를 직접적으로 얻는 것이 용이하다. 특히 최근에 발표된 R-코드(Cook과 Weisberg, 1994)는 다양한 2차원, 3차원 플롯 뿐만 아니라 축의 회전과 여러가지 모형에 대한 적합성을 제시하므로 보다 쉽게 자료에 적합한 모형을 시각적으로 분석할 수 있게 하였다. 그러나 그래프는 3차원 이상의 공간을 표현할 수 없기 때문에 하나의 반응변수와 세개이상의 설명변수 사이의 관계를 직접적으로 표현하는 것이 불가능하다. 이와 관련하여 Li(1991, 1992)에 의하여 제시된 SIR, pHd 방법과 Cook과 Weisberg(1991)에 의하여 제시된 SAVE는 설명변수들의 선형결합을 이용하여 효과적으로 설명변수들의 차원을 줄이는 방법을 제시하였다. 본 연구에서는 Li에 의하여 제시된 pHd 방법을 반응변수가 2개이상인 다변량 반응변수 모형에 적용하는 방법을 연구하였다. pHd 방법의 적용에는 많은 계산과정이 요구되는데, 이러한 계산과 다양한 플롯은 R-코드를 이용하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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• pp.431-434
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• 2003

In this paper we introduce a modified objective function for fuzzy c-means clustering with logistic regression model in the presence of noise cluster. The logistic regression model is commonly used to describe the effect of one or several explanatory variables on a binary response variable. In real application there is very often no sharp boundary between clusters so that fuzzy clustering is often better suited for the data.

• 한국안전학회지
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• 제33권4호
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• pp.98-104
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• 2018

Macroscopic accident analyses have been conducted to incorporate transportation safety into long-term transportation planning. In macro-level accident prediction model, exposure variable(e.g. a settled population) have been used as fundamental explanatory variable under the concept that each trip will be subjected to a probable risk of accident. However, a settled population may be embedded error by exclusion of active population concept. The objective of this research study is to develop macro-level accident prediction model using floating population variable(concept of including a settled population and active population) collected from mobile phone data. The concept of accident prediction models is introduced utilizing exposure variable as explanatory variable in a generalized linear regression with assumption of a negative binomial error structure. The goodness of fit of model using floating population variable is compared with that of the each models using population and the number of household variables. Also, log transformation models are additionally developed to improve the goodness of fit. The results show that the log transformation model using floating population variable is useful for capturing the relationships between accident and exposure variable and generally perform better than the models using other existing exposure variables. The developed model using floating population variable can be used to guide transportation safety policy decision makers to allocate resources more efficiently for the regions(or zones) with higher risk and improve urban transportation safety in transportation planning step.

• 대한간호학회지
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• 제24권2호
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• pp.278-302
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• 1994

This article reviewed and analyzed 39 studies on self efficacy theory applied to health related behavior. The following analysis was done : 1) study subjects 2) measurement tools 3) analysis according to the type of research design(intervention re-search, explanatory research). Some findings are summarized as follows : The study subjects were both healthy people in various developmental stages and patients with various illnesses. The health related behaviors examined in the studies were also various including exercise, smoking cessation, self care behaviors, etc. The measurement of self efficacy was done with specific tools in most studies. In the tools, activities that measured the health behavior domain were listed according to increasing difficulty or contexual arrangement or in combination of both of them The analysis of 17 intervention research studies showed that generally the intervention program increased the self efficacy level of subjects and then the increased strongly self efficacy influenced behavioral changes. Most studies used more than one intervention method for increasing the self efficacy level. these were derived from sources of self efficacy suggested by Bandura. The analysis of 21 explanatory research studies showed that self efficacy strongly influenced behavior change and persistence. The major independent variable to affect the self efficacy was performance accomplishment in the past. Self efficacy explained more of the variance in health related behavior when it was applied with the variables in the health belief model, health promotion model, and reasoned action theory. On the basis of the above findings, the following suggestions are made : 1. For a desirable research design, self efficacy should be the intervening variable. That is, desirable designs would include intervention-self efficacy-behavior in intervention research studies and antecedent-self efficacy-behavior in explanatory research studies. 2. More prospective, longitudinal studies are needed to test the effect of self efficacy on persistence in health related behavior. 3. Studies comparing the effects of intervention methods are needed for each health related behavior, subject group, and context. 4. It is necessary to develop a reliable, valid measurement tool for self efficacy for each health related behavior. 5. Studies to differenciate the effect of self efficacy from that of outcome expectation on the health related behavior are necessary. 6. The antecedents of self efficacy should be investigated further.