• Title/Summary/Keyword: 다수준회귀분석

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The Effects of Individual Patient Behavior and Medical Care Level on Doctor's Diagnosis of Hypertension (개인 건강행태 및 지역보건의료 수준이 고혈압 의사진단에 미치는 영향)

  • Park, Chang-Soo;Kim, Young-Ran;Lee, Tae-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.119-130
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    • 2016
  • This study was conducted to investigate the effects of individual patient behavior regarding health and medical care level on doctor's diagnoses of hypertension. A X2-test was used to compare therapeutic compliance in individual characteristics and two-stage multilevel logistic regression to identify community variance of the related index of high blood pressure therapeutic compliance using data from 229,229 adults over the age of 19 in a community health survey conducted in 2010. The experience rate of doctors' diagnoses of hypertension was higher for people of older age, higher level of education, higher BMI, and among heavy drinkers (no recipients of basic living). Furthermore, there was a higher rate for those visiting health and medical institutions, having more frequent checks of blood pressure in a month, having a higher stress level, and having depression. Among paid workers, the ratio was lower for employers and owner/operators with more daily exercise (such as walking), infrequent smokers, and private health insurance holders. Doctor's diagnoses of hypertension was affected by individual health behavior and health and medical care level. Further studies employing multilevel analyses considering regional level data should be conducted in the future.

The Effect of Alcohol Availability on Drinking Behavior : A Multilevel Analysis on Urban Regions (알코올가용성이 음주행태에 미치는 영향: 도시지역을 대상으로 한 다수준 분석)

  • Kwon, RIA;Shin, Sangsoo;Shin, Young-jeon
    • 한국사회정책
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    • v.25 no.2
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    • pp.125-163
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    • 2018
  • Social and health problems related to drinking are serious. Drinking behavior is affected not only by personal factors but also by environment factors. The purpose of this study is to find out how the alcoholic beverage stores in community influence the drinking behaviors of individuals after adjusting the individual level variables and provide it as basic data for alcohol related regulatory policies. In order to identify the factors affecting drinking behavior, we conducted a multilevel logistic regression analysis with high-risk drinking and current drinking as dependent variables. Individual-level data provided by 2015 community health survey from respondents of urban residents, and regional level data provided by the National Statistical office. The variables such as age, education level, and income level were used as individual level variables and the number of basic living allowances, divorce rate, and the number of pubs were used as community level variables. According to the research results, after controlling all variables, the number of bar, retail per $1km^2$ in residential area effect on current drinking. But, they are not effect on high risk drinking. In the high risk drinking, only the divorce rate effect on drinking behavior. As a result of the stratified analysis, there was no difference in the current drinking. But, it shows that the higher the number of retail stores and the total alcohol availability, the higher risk drinking behavior in the 60s. The results of this study suggest that policies aimed not only on individuals but also on the local environment are necessary.

What's Different about Fake Review? (조작된 리뷰(Fake Review)는 무엇이 다른가?)

  • Jung Won Lee;Cheol Park
    • Information Systems Review
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    • v.23 no.1
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    • pp.45-68
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    • 2021
  • As the influence of online reviews on consumer decision-making increases, concerns about review manipulation are also increasing. Fake reviews or review manipulations are emerging as an important problem by posting untrue reviews in order to increase sales volume, causing the consumer's reverse choice, and acting at a high cost to the society as a whole. Most of the related prior studies have focused on predicting review manipulation through data mining methods, and research from a consumer perspective is insufficient. However, since the possibility of manipulation of reviews perceived by consumers can affect the usefulness of reviews, it can provide important implications for online word-of-mouth management regardless of whether it is false or not. Therefore, in this study, we analyzed whether there is a difference between the review evaluated by the consumer as being manipulated and the general review, and verified whether the manipulated review negatively affects the review usefulness. For empirical analysis, 34,711 online book reviews on the LibraryThing website were analyzed using multilevel logistic regression analysis and Poisson regression analysis. As a result of the analysis, it was found that there were differences in product level, reviewer level, and review level factors between reviews that consumers perceived as being manipulated and reviews that were not. In addition, manipulated reviews have been shown to negatively affect review usefulness.

Development of Priority Assessment Model for Recovery from Urban Flooding considering Lifelines with Resilience (도심지 라이프라인을 고려한 도시침수피해 복구우선순위 산정모델 개발)

  • Hyung Jun Park;Chan Jin Jung;Dong Hyun Kim;Seung Oh Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.21-21
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    • 2023
  • 현재 구축되어있는 방재시설의 능력은 기후위기로 인해 수용가능한 극한강우량의 범위를 넘어서고 있어 대형화된 홍수로 인한 피해가 꾸준히 발생하고 있다. 이로 인해 잠재적 홍수로 인한 도시회복도 관리와 홍수로 수반되는 피해에 대한 복구의 중요도가 높아지고 있다. 회복도는 도시의 재해 취약성, 저항, 적응, 복구, 완화에 대한 능력을 포괄하는 개념으로써 최근 주목받고 있는 개념이지만 대부분의 연구는 주로 시설에 대한 회복도 평가가 이루어지고 있다 (Sen et al.,2021). 또한 재해 후 도시복구에 관한 연구는 다수 존재하지만 복구에 따른 지역의 회복도 변화와 라이프라인과 같은 주요 시설의 복구에 따른 회복도 차이를 고려한 연구는 미비한 실정이다. 따라서 본 연구에서는 도시침수 발생 후 라이프라인을 고려한 도시복구 우선순위 산정모델을 개발하고 재해관리의 효율성 향상측면에서 도시의 기능적 회복도를 평가하였다. 이를 위해 라이프라인 중 도로 복구결과의 평가를 위하여 리스크 매트릭스 기법을 이용한 도로위험도평가를 수행하였으며 도시의 회복도를 측정하였다. 회복도를 크게 홍수로부터 도시가 받은 영향과 재해복구역량으로 구성하였으며 정량적인 평가를 위해 각각 손상함수와 재해재난목적예비비를 활용하여 산정하였다. 이후 복구우선순위를 산정하였으며 복구와 도시회복도와의 관계를 분석하기 위하여 재해연보 자료를 기초로 회귀분석을 통해 복구비용을 추정하였다 (유순영 등.,2014). 시범지역에 적용한 결과 시설 및 도로 복구에 따른 도시영향의 변화보다 복구비사용으로 인한 재해복구역량의 변화가 더욱 크다는 것을 확인하였다. 이는 재해재난목적예비비의 중요성이 크다는 것을 의미하며 향후 추가적인 인문학적, 법제적 요소가 회복도에 미치는 영향을 연구한다면 도시회복도 향상 및 도시복구에 관한 정책적 의사결정에 큰 도움이 될 것이다.

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Factors associated with the choice of tertiary hospitals in patients with diabetes or hypertension (당뇨 또는 고혈압 환자의 상급종합병원 이용에 미치는 요인)

  • Choi, Jae Woo;Park, So Hee;Choi, Yun Su;Kim, Tae Kyung;Yun, Hyo Jung;Kim, Tae Hyun
    • Korea Journal of Hospital Management
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    • v.21 no.4
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    • pp.13-22
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    • 2016
  • 목적: 이 연구는 당뇨와 고혈압 환자의 상급종합병원 이용에 미치는 요인을 관찰하였다. 방법: 이 연구는 한국보건사회연구원과 국민건강보험공단이 공동으로 조사하는 한국의료패널 자료를 사용하였다(2008년, 2010년, 2012년). 연구대상은 20세 이상 성인이었으며 각 2008년에 2409명, 2010년에 2424명, 2012년에 2429명을 관찰하였다. 당뇨와 고혈압에 대한 외래방문 건수는 총 64,438건이었으며 당뇨 또는 고혈압 환자의 3차 의료기관 선택에 영향을 주는 요인을 관찰하기 위해 다수준 로지스틱 회귀분석을 활용하였다. 결과: 교육수준이 높은 환자가 낮은 환자에 비해 상급종합병원을 이용할 확률이 각각 2008년에 2.04배, 2010년에 1.83배, 그리고 2012년에 1.65배 더 높았다. 또한 고소득 환자가 저소득 환자에 비해 3차 의료기관을 이용할 확률이 2008년에 1.77배, 2010년 1.91배 그리고 2012년 1.94배 더 높았다. 결론: 정책입안자들은 의료전달 시스템과 관련하여 정책을 실행할 때 이러한 환자의 특징을 고려할 필요가 있다.

Comprehension and application of Tobit and Heckit models for censored data (절단자료에 대한 Tobit과 Heckit 모형의 이해와 활용)

  • Kim, Jeonghwan;Jang, Mina;Cho, Hyungjun
    • The Korean Journal of Applied Statistics
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    • v.35 no.3
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    • pp.357-370
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    • 2022
  • In this paper, Tobit and Heckit models are introduced. These models have been used for analyzing censored data. Censoring occurs at a specific point and a large number of observations are distributed with a positive probability at a certain point. Censoring can occur due to observing limitation or exogenous variables. Tobit and Heckit models are used to correct sample selection bias, which can occur when an ordinary linear regression model is fitted to censored data. However, the difference between the two models is not clearly accounted for; hence, they have often been used interchangeably. Therefore, the suitability of the models was validated through simulated data, and demonstrated through real data. As the result, it was confirmed that both Tobit and Heckit models are well-fitted to the data censored due to observing limitation, although Tobit model was fitted parsimoniously. In contrast, only Heckit model is well-fitted to the data censored due to exogenous variables.

Effect of Area deprivation and Social capital on Self rated health among Koreans (한국사회의 지역박탈과 사회적 자본이 주관적 건강수준에 미치는 영향)

  • Park, Eun-Joo;Yeon, Mi-Yeon;Kim, Chul-Woung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.10
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    • pp.382-395
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    • 2016
  • The purpose of this study is to examine how area characteristics influence the health of a population in a particular area by investigating how area deprivation and social capital influence self-rated health. For this study, a multi-level logistic regression was employed to analyze the data collected by Community Health Survey conducted on a target population of 229,186 living at 253 administrative areas of Korea in 2011. First, an analysis was conducted for subjects who have rated their self-health assessment as 'fair', 'poor', and 'very poor' in a 5 -item response survey. Then, a second analysis was conducted for the same subjects by excluding those with a rating of 'fair'. As a result, we found that area deprivation significantly influenced the population's health, according to our second analysis, while it was not significant according to our first analysis. Moreover, social capital was not significant in both analyses. Area deprivation-although the value of it was not so high-seems to explain the differences of individual self-rated health assessment as a contextual effect. In addition, influence of area characteristics is not limited to certain local areas, but to all local areas of Korea. Therefore, it is suggested that efforts to improve area characteristics are necessary to upgrade the individual's health level. A standardized classification system-distinguishing between good and poor self-rated health-is necessary through further comparative studies on self-rated health assessment.

The Effects of Gamification of e-Learning Platforms on Engagement: Focusing on Moderating Effects of Interaction, Difficulty, and Length (e-러닝 플랫폼의 게임화가 인게이지먼트에 미치는 영향: 상호작용, 스터디 난이도, 스터디 길이의 조절효과를 중심으로)

  • Ohsung Kim;Jungwon Lee
    • Information Systems Review
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    • v.26 no.1
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    • pp.73-91
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    • 2024
  • Recently, e-learning platforms are rapidly growing by innovating the education industry by applying various IT technologies. Because student participation in the online environment is considered a prerequisite for learning, low participation rates are considered one of the most important issues determining the performance of e-learning platforms. Gamification has grown rapidly over the past decades and is highly valued for its applicability in education because it is expected to enhance learning motivation. However, despite the interest of researchers, previous studies have reported conflicting results on the effect of gamification on participation rates in the context of e-learning platforms, and have mainly studied structural gamification, but have not sufficiently addressed the effects of content gamification. In this context, this study aims to analyze the effect of content gamification on e-learning platform engagement and to explore the boundary conditions moderating this effect. For empirical analysis, 5,017 data registered from February 11, 2022 to May 31, 2022 were analyzed for the education platform entry (https://playentry.org). The propensity score matching method and Poisson multilevel regression model were applied as analysis methods. As a result of the analysis, content gamification had a statistically significant effect on engagement, and the interaction effects of interaction and content difficulty were statistically significant.

Relationship between Reviewer's National Culture, CSR Information, and Review Usefulness (리뷰어의 국가문화, CSR 정보, 리뷰 유용성 간의 관계)

  • Jungwon Lee;Ohsung Kim
    • Information Systems Review
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    • v.26 no.1
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    • pp.173-192
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    • 2024
  • The phenomenon of consumers referring to the opinions of other consumers when choosing a hotel based on review platforms is rapidly increasing. Previous research has mainly focused on how online reviews affect travelers' information acceptance and decision making. However, there are only a few studies on how hotels' CSR activities are reflected in online reviews and how this information affects potential consumers. As the importance of CSR in the hotel industry continues to grow, it is meaningful to analyze whether a hotel's CSR activities are communicated to other potential consumers through online reviews. In this study, we explored the relationship by considering the reviewer's culture as a leading factor of CSR information included in online reviews and review usefulness as a subsequent factor. For empirical analysis, 6,632 online reviews of hotels located in Seoul were collected and analyzed using multilevel regression analysis. The LIWC(Linguistic Inquiry and Word Count) methodology was used to measure CSR information, and national culture was measured separately into East and West. As a result of the analysis, consumers in Asian countries tend to write relatively more CSR information in online reviews, and CSR information included in reviews had a positive effect on review usefulness.

The Impact of Human Resource Development on Job Satisfaction and Organizational Commitment : Mediating Effects of Learning Culture (인적자원개발제도, 조직몰입, 직무만족 간의 관계 : 조직수준의 학습문화의 매개효과 검증)

  • Kim, Sung Hwan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.9 no.3
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    • pp.119-128
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    • 2014
  • One of the theoretically and empirically grounded black boxes in HRD and firm performance link is employee' attitudes such as organizational commitment and job satisfaction. However, most studies were conducted with the regression analysis at the organizational level. This study used HLM(hierarchical linear modeling) analysis, which made it possible to estimate more accurate relationship between variables that were measured from two different levels. In addition, this study attempted to open an the black box(learning culture) in the relationship between HRD and employee attitudes. The result showed that the HRD have a positive effect on the organizational commitment and the job satisfaction. Also the HRD showed full mediation effect of organization commitment and the job satisfaction on the Learning culture. And the result showed that the HRD in 2007 have a positive effect on employee' attitudes in 2009. These findings concluded that systematic HRD like employee's education and training must be built and also the positive culture for employee's learning like support of management's learning organization must be improved in order to promote the organizational performance(organizational commitment, job satisfaction) in company.

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