• Title/Summary/Keyword: Ordered logistic regression

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Analysis on the Satisfaction Factors of Housing Performance and Residential Environment of Public Housing in Seoul (서울시 공공임대주택 주택성능과 주거환경 만족도에 미치는 영향요인)

  • Sung, Jin-Uk;Nam, Jin
    • Journal of Korea Planning Association
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    • v.54 no.3
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    • pp.49-62
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    • 2019
  • In order to balance with supply policy, public housing management and operation policies have been implemented in terms of housing welfare, but citizens have not yet achieved the results that the citizens are experiencing. The purpose of this study is to analysis the residential satisfaction of the including the housing performance through the characteristics of the public housing residents in Seoul. The data used in this study is based on the survey data of public housing panel survey in Seoul (2016). The study method used ordered logistic regression analysis based on the fact that dependent variables appeared as ordered responses. Major research results are as follows. Firstly, housing performance and residential satisfaction may not match. Even though the satisfaction of housing area, type, and management fee is high, satisfaction with residential environment is low if commuting distance, the number of small libraries, and hospitals are small. Secondly, it showed different characteristics of residential environment factors among types of public housing. Rather than focusing on supply, customized supply is needed considering characteristics of public housing types. Thirdly, the policy for public housing needs to be realized by a fair policy on the residential environment. It is necessary to contribute to better housing stability as a customized policy considering the local residential environment.

Semiparametric and Nonparametric Modeling for Matched Studies

  • Kim, In-Young;Cohen, Noah
    • Proceedings of the Korean Statistical Society Conference
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    • 2003.10a
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    • pp.179-182
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    • 2003
  • This study describes a new graphical method for assessing and characterizing effect modification by a matching covariate in matched case-control studies. This method to understand effect modification is based on a semiparametric model using a varying coefficient model. The method allows for nonparametric relationships between effect modification and other covariates, or can be useful in suggesting parametric models. This method can be applied to examining effect modification by any ordered categorical or continuous covariates for which cases have been matched with controls. The method applies to effect modification when causality might be reasonably assumed. An example from veterinary medicine is used to demonstrate our approach. The simulation results show that this method, when based on linear, quadratic and nonparametric effect modification, can be more powerful than both a parametric multiplicative model fit and a fully nonparametric generalized additive model fit.

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A Comparative Study on Food Behavior with Self-Evaluation of Dietary Life for Korean Adults (한국성인의 식품소비행동과 식생활 자기평가에 관한 비교연구)

  • Park, Jae-Hong;You, So-Ye
    • The Korean Journal of Community Living Science
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    • v.20 no.2
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    • pp.145-156
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    • 2009
  • The purpose of this study was to explore socio-economic factors as determinants of food behavior and self-evaluation on meeting dietary guidelines. The data were derived from the KNHANES collected in 2007. A multidimensional framework of the determinants of food behavior was used, including age, gender, region, occupation, education, income and nutritional knowledge. The determinants of food behavior and self-evaluation were estimated by ordered logistic regression models. Food behavior was measured by dietary diversity scores including six food groups, which were cereals, vegetables, meats, fruits, milk, and oils. Self-evaluation on meeting dietary guidelines was based on responses from questionnaires for implementing Korean dietary guidelines. In general, the respondents who fulfilled all criteria were few. There were some differences between dietary diversity scores and self-evaluation on meeting dietary guidelines. Age, gender, and educational level showed effect on food behavior and self-evaluation. For dietary diversity scores, the individuals who were younger male, graduated from college were more likely to consume more various foods. The individuals who were older female, graduated from high school were more likely to meet dietary guidelines. Occupation was associated only with self-evaluation. Age and gender were associated with food behavior as well as self-evaluation. Income and marital status were associated only with dietary diversity scores. Reading food label and occupation were associated only with self-evaluation. The food behavior of married individuals was less in line with the dietary diversity scores than singles. In conclusion the differences between objective measure and subjective measure on individuals' diet showed more efforts like segmented nutritional education would be needed to increase the quality of dietary life.

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Case Studies on the Optimal Parameter Design with Respect to Categorial Characteristics (범주형 품질특성의 최적설계 사례연구)

  • Park, Jong-In;Bae, Suk-Joo;Kim, Man-Soo
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.32 no.3
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    • pp.135-141
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    • 2009
  • A variety of statistical methods are applied to model and optimize responses, related to product or system's quality, in terms of control and noise factors at design and manufacturing stages. Most of them assume continuous response variables but, assessing the performance of a product or system often involves categorical observations, such as ratings and scores. Although most previous works to deal with the categorical data provide sorhisticated response models and ensure unbiased outcomes, they require heavy computation to estimate the model parameters, as well as enough replications. In this study, we present some practical approaches for optimal parameter design with ordered categorical response when only a few or no replication is available. Two real-life examples are given to illustrate the presented methods.

Effect of Patient's Satisfaction with Pharmacist's Medication Counseling on Medication Compliance Among Outpatients (복약지도 만족도가 복약순응도에 미치는 영향 : 외래환자를 대상으로)

  • Heo, Jae-Heon;Kim, Su-Jin;Kim, Joo-Hyek;Huh, Soon-Im
    • Korean Journal of Clinical Pharmacy
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    • v.19 no.2
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    • pp.110-119
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    • 2009
  • Medication compliance is essential to improve person's health status through pharmacotherapy. Since separation of dispensing and prescription has been implemented, the importance of pharmacist's role on medication counseling have been emphasized, especially among outpatients. The objective of this study is to investigate the effect of patient's satisfaction with pharmacist's medication counseling on medication compliance among outpatients. We used the 2005 Korea National Health and Nutrition Survey data to examine medication compliance of persons who visited pharmacy. Ordered logistic regression analysis was conducted to assess whether patient's satisfaction with pharmacist's medication counseling was associated with medication compliance. Overall, 86.17% of study subjects(5,494) reported to take the prescribed medicines correctly and 80.54% of respondents were satisfied with pharmacist's medication counseling. Logistic regression analysis presents patient's satisfaction with pharmacist's counseling is significantly associated with medication compliance after controlling patient's characteristics(proxy-measured by age, family income, educational attainments, comorbid conditions). Interestingly, even patients who are dissatisfied with pharmacist's counseling have slightly higher odds of better compliance to medication therapy than those without pharmacist's counseling. In addition, higher educational attainments and older age groups are associated with better medication compliance. In conclusion, pharmacist's medication counseling appears to be effective in improving medication compliance. Further research that assess medication counseling in detail needs to develop strategies to improve medication adherence.

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Impact of Increased Supply of Newly Licensed Nurses on Hospital Nurse Staffing and Policy Implications (신규면허간호사 공급량 증가가 의료기관 간호사 확보수준에 미친 영향과 정책적 함의)

  • Kim, Yunmi;You, Sunju;Kim, Jinhyun
    • Journal of Korean Academy of Nursing
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    • v.47 no.6
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    • pp.828-841
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    • 2017
  • Purpose: This study aimed to analyze the impact of increasing the supply of newly licensed nurses on improving the hospital nurse staffing grades for the period of 2009~2014. Methods: Using public administrative data, we analyzed the effect of newly licensed nurses on staffing in 1,594 hospitals using Generalized Estimating Equation (GEE) ordered logistic regression, and of supply variation on improving staffing grades in 1,042 hospitals using GEE logistic regression. Results: An increase of one newly licensed nurse per 100 beds in general units had significantly lower odds of improving staffing grades (grades 6~0 vs. 7) (odds ratio=0.95, p=.005). The supply of newly licensed nurses increased by 32% from 2009 to 2014, and proportion of hospitals whose staffing grade had improved, not changed, and worsened was 19.1%, 70.1%, and 10.8% respectively. Compared to 2009, the supply variation of newly licensed nurses in 2014 was not significantly related to the increased odds of improving staffing grades in the region (OR=1.02, p=.870). Conclusion: To achieve a balance in the regional supply and demand for hospital nurses, compliance with nurse staffing legislation and revisions in the nursing fee differentiation policy are needed. Rather than relying on increasing nurse supply, retention policies for new graduate nurses are required to build and sustain competent nurse workforce in the future.

Analysis of Contributory Factors in Causing Crashes at Rural Unsignalized intersections Based on Statistical Modeling (지방부 무신호교차로 교통사고의 영향요인 분석 및 통계적 모형 개발)

  • PARK, Jeong Soon;OH, Ju Taek;OH, Sang Jin;KIM, Young Jun
    • Journal of Korean Society of Transportation
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    • v.34 no.2
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    • pp.123-134
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    • 2016
  • Traffic accident at intersections takes 44.3% of total number of accidents on entire road network of Korea in 2014. Although several studies addressed contributory factors of accidents at signalized intersection, very few is known about the factors at rural unsignalized intersections. The objective of this study is therefore to investigate specific characteristics of crashes at rural unsignalized intersection and to identify contributory factors in causing crashes by statistical approach using the Ordered Logistic Regression Model. The results show that main type of car crashes at unsignalized intersection during the daytime is T-bone crashes and the number of crashes at 4-legged intersections are 1.53 times more than that at 3-legged intersections. Most collisions are caused by negligence of drivers and violation of Right of Way. Based upon the analysis, accident severity is modeled as classified by two types such as 3-legged intersection and 4-legged intersection. It shows that contributory factors in causing crashes at rural unsignalized intersections are poor sight distance problem, average daily traffic, time of day(night, or day), angle of intersection, ratio of heavy vehicles, number of traffic violations at intersection, and number of lanes on minor street.

The Effects of COVID-19 on Public Transportation Demand: The Case of Busan Metropolitan City (코로나19의 확산이 대중교통 수요변화에 미치는 영향요인 분석 - 부산광역시를 중심으로 -)

  • Minjeong KIM;Hoe Kyoung KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.3
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    • pp.1-11
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    • 2023
  • COVID-19 has caused the dramatic reduction of public transportation demand in Busan Metropolitan City, that is, daily public transportation trips in 2020 dropped by approximately 920,000 trips from 2019 based on the public transportation card data. This study investigated the underlying factors affecting the public transportation demand discrepancy between before and after COVID-19 at the primary administration unit(i.e., Eup, Myeon, Dong) level with Ordered Logistic Regression model. Finding of this study is as follows. The primary administration units characterized with high ratio of welfare recipients, industrial area, and day boarders were heavily dependent on public transit, indicating little change in public transportation demand. On the other hands, the primary administration units which have high ratio of urban rail transit uses experienced significant reduction of public transportation demand. In conclusion, transportation policies taken under emergent situation such as COVID-19 need to take into account the region-based characteristics rather than unilateral ones.

Effects of Multicultural Acceptance Attitude, Language Acceptance Attitude and Social Network on Married Female Immigrants and Korean Husbands' Life Satisfaction during the Adjustment Period (여성결혼이민자 부부의 문화 및 언어수용태도와 사회관계망이 생활만족도에 미치는 영향)

  • Jung, Joowon;Cho, So Yeon
    • The Korean Journal of Community Living Science
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    • v.27 no.2
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    • pp.185-197
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    • 2016
  • This study was conducted to examine the factors affecting the life satisfaction of married female immigrants and Korean husbands. Data for this study were obtained from the National Survey of Multicultural Families conducted in 2012. The study sample consisted of 5,232 couples within the first five years of marriage. Data were evaluated using a paired t-test, K-mean cluster analysis, ANOVA, and ordered logistic regression analysis. The results were as follows: 1) life satisfaction was higher for married female immigrants than for Korean husbands. 2) The general characteristics, acceptance attitude, language acceptance, and social network differed significantly depending on life satisfaction levels. 3) The multicultural acceptance attitude of husbands, ability of married female immigrants to speak Korean, and ability of Korean husbands to speak wives' native languages improved life satisfaction levels. The results of this study can be used to improve the life satisfaction of married female immigrants and Korean husbands.

Public Reporting on the Quality Ratings of Nursing Homes in the Republic of Korea

  • Lee, Hyang Yuol;Shin, Juh Hyun
    • Journal of Korean Academy of Nursing
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    • v.49 no.2
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    • pp.161-170
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    • 2019
  • Background: Quality ratings could provide vital information to help people in choosing a nursing home. Purpose: This study investigated factors aligned with quality ratings of nursing homes. Methods: We employed a cross-sectional descriptive design to assess publicly available data on 1,354 nursing homes with 30 or more beds in the Republic of Korea. After excluding 289 nursing homes with no reported quality-evaluation ratings, we analyzed the 2015 data of 1,065 nursing homes. To prevent multicollinearity among independent variables, we carefully selected the final set of variables based on clinical and theoretical meaningfulness to direct nursing care. Quality, the ordinal outcome, was scored from 1 to 5 with a higher score indicating higher quality of the organization. We constructed a multivariate ordered logistic regression model. Results: Higher quality ratings of nursing homes was significantly related to the number of unoccupied beds (OR=0.99, p=.024), registered nurses (RNs) (OR=1.30, p=.003), qualified care workers (OR=1.03, p=.011), cognitive-improvement programs (OR=1.05, p=.024), and other programs for residents' activities (OR=1.09, p<.001). Conclusion: The number of RNs had the strongest influence on the publicly reported quality rating, while the rating of qualified care workers demonstrated little effect and that of nursing assistants had no effect. The number of RNs could be used as a crucial indicator for high-quality homes; more resident-engaging programs also demonstrated better quality of nursing home care.