• Title/Summary/Keyword: ordinal regression

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Effect of Liquidity, Profitability, Leverage, and Firm Size on Dividend Policy

  • PATTIRUHU, Jozef R.;PAAIS, Maartje
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.35-42
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    • 2020
  • This study aims to investigate the relationship between the variables of Current Ratio (CR), Return-on-Equity (ROE), Return-on-Assets (ROA), Debt-to-Equity Ratio (DER), and Firm Size (FS) on Dividend Policy (DP) in real estate and property companies listed on the Indonesia Stock Exchange in the period 2016-2019, looking at nine real estate companies in Indonesia. The research methodology uses an explanatory analysis approach and linear regression. Based on the eligibility and homogeneity of the data, the number of sample companies selected was nine companies. The company's financial statement data derived from primary data obtained on the Indonesia Stock Exchange, such as current ratio (CR), return-on-equity (ROE), return-on-assets (ROA), debt-to-equity ratio (DER) and firm size and dividend policy variables. The data analysis procedure is first to transform financial data from the original ratio data into interval data and, then, transform it to ordinal data. Furthermore, the validity and reliability process are ignored because the data is primary. Finally, regression testing is part of the hypothesis testing stage. The results of this study showed that the CR, ROE, and firm size had no positive and significant effect on dividend policy. In contrast, DER and ROA have a positive and significant impact on dividend policy.

Analysis of online food purchasing behavior: a study of Sri Lankan consumers

  • Piyumi Wijesinghe;Shashika D. Rathnayaka;Niranga Bandara;Jung Min Heo;Dinesh D. Jayasena
    • Korean Journal of Agricultural Science
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    • v.50 no.4
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    • pp.927-940
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    • 2023
  • Online shopping has been undergoing significant developments in the South Asian region in the last decade. Using a representative sample of Sri Lankan consumers, this study explored online food purchasing behavior in Sri Lanka, a developing nation and island in South Asia. Data were collected from 562 respondents from all nine provinces in Sri Lanka using an online survey. Consumer attitudes were evaluated using factor analysis, and factor scores were added as explanatory variables to the final model. An ordered logistic regression model was used to examine the impact of consumer demographics, economic variables, and consumer attitudes on online food purchases. Online food purchasing intensity was categorized into four groups that suited ordinal rankings: zero for never, low for rarely, medium for occasionally, and high for regularly. Results indicated that age, income, education, and living in urban areas affect the online food purchasing behavior of Sri Lankan consumers. In addition, trust, convenience, and attitudes toward price were powerful drivers of online food purchasing. The findings have a number of significant managerial ramifications for creating strategies to promote online food purchases in developing South Asian nations like Sri Lanka. Moreover, promoting online shopping could be a potential solution for traffic congestion, ultimately helping to mitigate the negative externalities associated with it, such as carbon emissions and air pollution.

A Simplified Model of the CIA based on Scaling Theory (척도이론에 근거한 CIA의 간편화 모형)

  • Jeon, Jeong-Cheol;Im, Dong-Jun;An, Gi-Hyeon;Gwon, Cheol-Sin
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2008.10a
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    • pp.444-447
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    • 2008
  • This study is intended to develop a improved version of Cross Impact Analysis Model based on Scaling Theory. In developing the model, we applied the scale transformation technique and regression technique to existing CIA model. Improved CIA model is composed of two sub-models: 'model for impact value measurement,' and 'model for impact value conversion'. We applied a technique which measures data by ordinal scale and then transforms them into interval scale and ratio scale data to CIA model. The accuracy of forecasting and the usability of CIA application have been improved.

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The Study on the Severity of Children Traffic Accident using Ordinal Logistic Regression Analysis (순서형 로지스틱 회귀분석을 이용한 어린이 사고심각도 분석 연구)

  • Yoon, Byoung-Jo;Ko, Eun-Hyeck;Yang, Sung-Ryong
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2016.11a
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    • pp.259-260
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    • 2016
  • 어린이의 경우 다른 연령층에 비해 신체적, 정신적으로 완성되지 못하여 교통사고의 가능성이 높으며, 특히 전국의 어린이 교통사고는 점진적으로 감소 추세이나 인천의 어린이 교통사고는 감소하다가 다시 증가 추세에 들어선 실정이다. 따라서 본 연구의 목적은 어린이 교통사고 심각도에 영향을 미치는 주요 요인들을 발견하고 제시하고자 하였다. 순서형 로지스틱 회귀분석을 활용하여 순서척도인 반응변수에 대한 설명변수의 오즈(Odds)를 확인하고자 하였으며 안전운전불이행, 차대사람(횡단중), 차대차(측면직각충돌)사고가 유의한 결과로 나타났다. 안전운전불이행으로 인한 사망사고와 기타사고의 오즈차이는 1.35배, 측면직각충돌로 인한 사망사고와 기타사고의 오즈차이는 1.76배 증가하는 것으로 나타났고, 횡단중인 경우에는 오히려 사망 위험도의 오즈값이 0.58배로 감소하는 것으로 나타났다.

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A New Constrained Parameter Estimation Approach in Preference Decomposition

  • Kim, Fung-Lam;Moy, Jane W.
    • Industrial Engineering and Management Systems
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    • v.1 no.1
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    • pp.73-78
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    • 2002
  • In this paper, we propose a constrained optimization model for conjoint analysis (a preference decomposition technique) to improve parameter estimation by restricting the relative importance of the attributes to an extent as decided by the respondents. Quite simply, respondents are asked to provide some pairwise attribute comparisons that are then incorporated as additional constraints in a linear programming model that estimates the partial preference values. This data collection method is typical in the analytic hierarchy process. Results of a simulation study show the new model can improve the predictive accuracy in partial value estimation by ordinal east squares (OLS) regression.

Depressive Symptoms and Menstrual Cycle Irregularity among Community Women of Childbearing Age

  • Heeja Jung;Yanghee Pang
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.109-117
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    • 2023
  • Menstrual cycle irregularity reflects the reproductive health of women of childbearing age, but studies are scant on women in communities. In this study, we identified factors associated with menstrual cycle irregularity among 884 community women of childbearing age (19-40 years) and confirmed the relationship between menstrual cycle irregularity and depressive symptoms. Data were collected through online or mobile platforms. We noted that 25% of participants had menstrual cycle irregularity. Multivariable ordinal logistic regression analysis revealed that age, irregular eating, and depressive symptoms were associated with menstrual cycle irregularity. After adjusting for confounding variables, participants with depressive symptoms were at a slightly higher risk of menstrual cycle irregularity (odds ratio = 1.078, confidence interval = 1.021-1.139). Additional support be provided for community-living women of childbearing age with depressive symptoms, to improve their reproductive health

Call-a-bus Satisfaction Based On Preference Between Rural Bus And Call-a-bus (농어촌버스와 콜버스 선호에 따른 콜버스 만족도 분석)

  • Jang, Tae Youn;Han, Sang Hwa;Kim, Chang Soo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.3
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    • pp.1-13
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    • 2019
  • The study examines preference between rural bus and call-a-bus before call-a-bus operation and empirically analyzes the effecting factors on the call-a-bus satisfaction after operation. As the result of log-linear model, older persons prefer call-a-bus because of door-to-door service convenience and female also because of limitation of trip moving means. It is shown that persons with lower number of trips prefer call-a-bus. As the result of ordinal regression model for call-a-bus satisfaction, age, the number of family members and bus stop distance have the positive tendency but the going out frequency and the return time negative among rural bus preference persons. Male and the going out frequence show the negative tendency but trip moving means, bus stop distance, rural bus satisfaction, depart and return time positive among call-a-bus preference persons. The persons who have the positive preference on call-a-bus shows higher satisfaction on call-a-bus.

Modeling Traffic Accident Characteristics and Severity Related to Drinking-Driving (음주교통사고 영향요인과 심각도 분석을 위한 모형설정)

  • Jang, Taeyoun;Park, Hyunchun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.6D
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    • pp.577-585
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    • 2010
  • Traffic accidents are caused by several factors such as drivers, vehicles, and road environment. It is necessary to investigate and analyze them in advance to prevent similar and repetitive traffic accidents. Especially, the human factor is most significant element and traffic accidents by drinking-driving caused from human factor have become social problem to be paid attention to. The study analyzes traffic accidents resulting from drinking-driving and the effects of driver's attributes and environmental factors on them. The study is composed as two parts. First, the log-linear model is applied to analyze that accidents by drinking or non-drinking driving associate with road geometry, weather condition and personal characteristics. Probability is tested for drinking-driving accidents relative to non-drinking drive accidents. The study analyzes probability differences between genders, between ages, and between kinds of vehicles through odds multipliers. Second, traffic accidents related to drinking are classified into property damage, minor injury, heavy injury, and death according to their severity. Heavy injury is more serious than minor one and death is more serious than heavy injury. The ordinal regression models are established to find effecting factors on traffic accident severity.

Risk Factors Associated with Medication Adherence in HIV/AIDS Patients (한국인 HIV/AIDS 환자의 복약순응도에 미치는 위험 인자 연구)

  • Kyung Sun Oh;Jin-soo Lee;Euna Han
    • Korean Journal of Clinical Pharmacy
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    • v.33 no.4
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    • pp.254-260
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    • 2023
  • Background: Adherence to antiretroviral treatment (ART) is crucial for maintaining the HIV-RNA suppression in patients living with HIV/AIDS. This study aims to analyze the risk factors contributing to low medication adherence among individuals with HIV/AIDS by analyzing data from the Korean HIV/AIDS cohort study. Methods: The dependent variable is ART medication adherence. The depressive symptom and anxiety scores were collected as main independence variables. Covariates included gender, age, transmission route, alcohol and smoking information, and antiviral treatment regimen details. To predict the relationship between ordinal dependent variables and independent variables, an ordered logistic regression analysis was conducted, and odds ratios (OR) were calculated. Results: The results of the ordered logistic regression analysis showed that female was associated with a higher risk of low medication adherence (OR=2.91, 95% CI=1.08, 7.83). Among the subjects who were non-smokers and non-drinkers, the risk of low medication adherence was lower (OR=0.36, 95% CI=0.18, 0.70). Depending on the ART treatment group, individuals taking integrase inhibitor had a lower risk of medication adherence (OR=0.31, 95% CI=0.13, 0.76), and those experiencing depressive symptoms were related with a higher risk of low medication adherence (OR=1.97, 95% CI=1.12, 3.46). Conclusions: The encouragement and emotional support of healthcare professionals are essential for patients living with HIV/AIDS who experience depressive symptoms to maintain ART adherence. Additionally, further research is needed to ensure that HIV/AIDS infected female with concurrent depressive symptoms can achieve appropriate ART therapeutic effect.

Satisfaction Gaps among Physicians, Nurses, and Patient Family in the Emergency Department (응급실 서비스 만족도에 대한 환자 가족의 평가와 의료진의 인식 차이)

  • Kang, Kyunghee
    • Health Policy and Management
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    • v.23 no.2
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    • pp.145-151
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    • 2013
  • Background: The objective of this study was to explore patient family's evaluation of emergency department (ED) service satisfaction and to compare these with ED staff perception of patient family's evaluation. Methods: Based on two surveys of the National Emergency Medical Center: the 2008 National Survey for Recognition and Satisfaction towards Emergency Medical Services and the 2008 Opinion Survey of Emergency Medical Service Providers, satisfaction gaps among physicians, nurses, and patient family were evaluated by Kruskal-Wallis tests and Wilcoxon-Mann-Whitney tests. Furthermore, the factors associated with satisfaction of emergency medical service were identified by ordinal logistic regression models. Results: There were statistically significant gaps among physicians, nurses, and patient family in overall satisfaction with ED visit, length of stay in ED, enough explanation, physicians/nurses kindness, and ED facilities. Age and income in the patient family model, the number of beds in hospital, job satisfaction and year of service in the physicians model, and the number of beds in hospital, job satisfaction and the number of patients per duty hour in the nurses model were statistically significant factors associated with evaluation/ perception of ED service satisfaction. Conclusion: Patient satisfaction is an important indicator of the quality of care and service delivery in the ED. To improve and understand satisfaction in ED service, a dyadic view of the evaluation of service quality and satisfaction-that is, from the perspectives of both the patient and the emergency medical service providers-should be concerned.