• 대한방사선기술학회지:방사선기술과학
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• 제46권5호
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• pp.435-444
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• 2023

The purpose of this study was to analyze the factors that demographic factors, radiation knowledge level, and radiation awareness could be affecting the benefits of radiation. From July 2022 to July 2023, after receiving consent to participate by using the link of Naver through Social Network Service (SNS) for the general public, 312 people were surveyed by self-registration method without collecting personal information. The questionnaire consisted of a total of 25 questions following demographic factors (5 questions including age group by life cycle, sex, monthly household income, residence), radiation knowledge level (8 questions including basic physical, biological effects, radiation protection technology), radiation awareness (12 questions including risk, management, benefit). Independent sample T-test and ANOVA tests were performed for significant differences in the average radiation awareness between variables, and hierarchical regression was performed to identify influencing factors on radiation benefits. As a result, the benefit of radiation was significantly high among the radiation awareness, but the awareness of the danger of radiation was insufficient to the level of recognizing it as safe. Men had significantly higher awareness of radiation management and benefits than women, and the awareness of radiation management was significantly higher in the middle class with a monthly household income of 4.31 million won or more. The higher the knowledge level of radiation, the higher the awareness of the benefits of radiation. The factors that had a positive effect on radiation benefits were the high level of radiation knowledge and awareness of radiation management.

• 한국지역사회생활과학회지
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• 제25권2호
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• pp.131-145
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• 2014

This study examines the effects of maternal behaviors and children's self-control ability on their subjective well-being. Data were collected from 416 fifth- and sixth-graders residing in Kwangju, Korea. Cronbach's ${\alpha}$ and the hierarchical regression analysis method were employed for a statistical analysis. According to the results of the hierarchical multiple regression analysis, children's self-control ability best explained their subjective well-being. For individual factors, motivational self-control had the greatest effect on subjective well-being, followed by behavioral self-control, cognitive self-control, the level of income, gender, and the employment status, in that order. The results for effects of maternal behaviors and children's self-control ability on children's subjective well-being highlight. The important roles played by the mother and the child's self-control ability in improving the child's subjective well-being. The study contributes to the literature by providing fundamental insights into children's higher quality of life.

• 아동학회지
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• 제36권1호
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• pp.163-185
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• 2015

This study examined the influences of general characteristics, maternal parenting behaviors and children's self-control ability on children's social competence. A total of 416 children in the fifth and sixth grades responded to questionnaires, which included items related to their social competence, their mothers' parenting behavior, as well as their own self-control ability. Data were analyzed by means of Pearson correlation analysis and the hierarchical regression analysis method. According to the results of the hierarchical multiple regression analysis, children's self-control ability best explained their social competence. In terms of individual factors, motivational self-control had the greatest effect on social competence, followed by cognitive self-regulation, behavioral self-regulation, economic level, gender and grades, in that order. The results for the effects of maternal parenting behaviors and children's self-control ability on children's social competence highlighted the important roles played by the mother and the child's self-control ability in improving the child's social competence. The study contributes to the literature by providing fundamental insights into children's higher quality of life.

• 여성건강간호학회지
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• 제17권2호
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• pp.169-177
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• 2011

Purpose: This study was to compare social support and depression by gender, to investigate related factors, and to inquire effect of social support on depression by gender. Methods: This study analyzed raw data from a project funded by Jeju Province. The data were collected through home visit interview from 750 households which were selected by using randomized cluster sampling method. CES-D and MOS SSS were used for measuring depression and social support. Data obtained from 896 adults were analyzed using t-test, $x^2$ test and hierarchical regression. Results: There was no significant difference of depression prevalence, presenting 15.2% for men and 14.5% for women. The related factors were marital status, educational level, and socioeconomic status for men and only socioeconomic status for women. The result of hierarchical regression presented that social support was significant on depression, showing increase of $R^2$ from .151 to .328 when adding social support to other variables for men, increase of $R^2$ from .058 to .192 for women. Conclusion: The social support was an influential factor on depression both men and women, the development of strategies considering risk population by gender for enhancing social support to prevent and to manage depression was suggested.

• 성인간호학회지
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• 제17권3호
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• pp.400-410
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• 2005

Purpose: The purpose of this study is to examine the relationship between the living arrangement, life satisfaction and depression in the elderly. Method: The subjects consisted of 371 elderly who has at least one adult child classifying two groups(living with children and not living with children). The data were collected by a structured questionnaire that included general characteristics, Geriatric Leisure Activity Scale, Geriatric Life Satisfaction Scale, Geriatric Depression Scale, from March to December, 2004. The collected data were analyzed by SPSS program including descriptive statistics, ${\chi}^2-test$, t-test, Pearson Correlation Coefficient and Hierarchical Regression. Result: In hierarchical regression, the elders who live with their children showed more life satisfaction than elders who lived by themselves. However, living arrangement showed no effect on the level of depression of the elderly parents. Significant leisure activity interaction effect was found on the depression among the elderly: The elderly with no leisure activity reported lower levels of depression when they lived with their adult child. Conclusion: It is necessary to explore further the various relationship among living arrangement and life satisfaction of the elderly, their preferences and expectations regarding inter-generational obligations and living arrangements.

• International Journal of Advanced Culture Technology
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• 제6권2호
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• pp.72-79
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• 2018

The purpose of this study was to analyze general characteristics and empathy factors of nursing student's major satisfaction. Participants in this study were 235 students from both located in J do and C do Universities. The research method was a cross-sectional survey and the survey period was from September 1 to 10, 2017. The questionnaire was used to investigate general characteristics, empathy, and major satisfaction. The analysis was based on frequency analysis, p value of t or F value, Pearson correlation, regression analysis, and hierarchical regression analysis using SPSS 18.0. The result of this study were as follows: (1) The C University showed higher satisfaction than J University(3.44), (2) the factors affecting major satisfaction were school location, grade, religion, cognitive empathy, and emotional empathy correlated, Regression analysis was used to examine factors that correlated with major satisfaction, followed by hierarchical regression analysis to identify the most influential factors. (3) The result of the analysis showed that the greatest influence factors on major satisfaction were the University location(${\beta}=.325$, p<.01), the cognitive empathy (${\beta}=.287$, p<.01), and the next order was negative grade(${\beta}=-.230$, p<.01). Based on the results of this stud, the following conclusions can be drawn. The most influential factor in the major satisfaction was the school location, but this was an irreversible factor. Therefore, if the cognitive empathy factor and grades are corrected, it can be said that it can increase the satisfaction of major in nursing University students. In this study, it was emphasized that cognitive empathy contained in the course of nursing education program and suggested guidance on major satisfaction in lower grades.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 춘계학술대회
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• pp.83-126
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• 2005

Single-index models have found applications in econometrics and biometrics, where multidimensional regression models are often encountered. Here we propose a nonparametric estimation approach that combines wavelet methods for non-equispaced designs with Bayesian models. We consider a wavelet series expansion of the unknown regression function and set prior distributions for the wavelet coefficients and the other model parameters. To ensure model identifiability, the direction parameter is represented via its polar coordinates. We employ ad hoc hierarchical mixture priors that perform shrinkage on wavelet coefficients and use Markov chain Monte Carlo methods for a posteriori inference. We investigate an independence-type Metropolis-Hastings algorithm to produce samples for the direction parameter. Our method leads to simultaneous estimates of the link function and of the index parameters. We present results on both simulated and real data, where we look at comparisons with other methods.

• Journal of the Korean Data and Information Science Society
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• 제26권6호
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• pp.1513-1521
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• 2015

Selecting relevant variables for a statistical model is very important in regression analysis. Recently, variable selection methods using a penalized likelihood have been widely studied in various regression models. The main advantage of these methods is that they select important variables and estimate the regression coefficients of the covariates, simultaneously. In this paper, we propose a simple procedure based on a penalized h-likelihood (HL) for variable selection in Poisson hierarchical generalized linear models (HGLMs) for correlated count data. For this we consider three penalty functions (LASSO, SCAD and HL), and derive the corresponding variable-selection procedures. The proposed method is illustrated using a practical example.

• 품질경영학회지
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• 제26권1호
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• pp.143-160
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• 1998

This article is concerned with the selection of subsets of predictor variables to be included in bulding the binary response logistic regression model. It is based on a Bayesian aproach, intended to propose and develop a procedure that uses probabilistic considerations for selecting promising subsets. This procedure reformulates the logistic regression setup in a hierarchical normal mixture model by introducing a set of hyperparameters that will be used to identify subset choices. It is done by use of the fact that cdf of logistic distribution is a, pp.oximately equivalent to that of $t_{(8)}$/.634 distribution. The a, pp.opriate posterior probability of each subset of predictor variables is obtained by the Gibbs sampler, which samples indirectly from the multinomial posterior distribution on the set of possible subset choices. Thus, in this procedure, the most promising subset of predictors can be identified as that with highest posterior probability. To highlight the merit of this procedure a couple of illustrative numerical examples are given.

• 디지털융복합연구
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• 제10권11호
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• pp.403-418
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• 2012

본 논문에서는 IT와 서비스 산업의 디지털융합 모델의 가치 창출요소의 시너지 효과를 이론적으로 정형화하고 실증분석을 통하여 시사점을 도출하였다. 경영전략 분야의 상황적합 이론에 기반 하여 IT융합의 근원적 가치요소를 고정형, 이동형으로 구분하고 이들 가치의 전략적 적합과 서비스 프로세스 제약완화 기여 등을 시너지 효과에 초점을 맞추어 탐색하였다. 본 논문에서 도출된 융합 시너지 연구 모델은 실증분석을 통하여 계층적 회귀분석 방법을 통하여 검증하였으며, 분석 결과 융합 모델의 가치 창출 요소의 유용성은 산업 별로 확연하게 구분되며 혁신에 의한 상대적 이점과 함께 일상생활 습관과의 부합성이 채택의 중요한 영향을 미치는 것이 발견되었다. IPTV 등에 기반 한 고정형 가치와 스마트 폰 등 모바일 기반 응용에 대한 시너지 효과와 프로세스 제약완화 등에 대한 시너지 효과가 제한적으로 나타났으며 이는 이들 가치가 서로 독립적으로 존재하며 융합 산업의 고유 특성과의 조화가 핵심적이라는 시사점이 도출되었다. 본 연구 결과는 향후 IT기반 산업 융합 모델 비즈니스 모델 연구에 유용한 시사점을 제공한다.