A comparison between binary logistic regression and discriminant analysis in determining the most important factors affecting the instability of marital life in the Kingdom of Saudi Arabia

2021 ◽  
Vol 15 (15) ◽  
pp. 725-736
Author(s):  
Salwa L. AlKhayyat ◽  
Alaa M. Alhaqbani
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
Discriminant Analysis ◽  
Binary Logistic Regression ◽  
Kingdom Of Saudi Arabia ◽  
Factors Affecting

Identifying the Factors Affecting the Probability of Accident Severity in Community Road - Focusing on Seoul City

2014 ◽  
Vol 641-642 ◽  
pp. 860-865
Author(s):  
You Jin Lim ◽  
Hak Ryong Moon ◽  
Won Pyoung Kang
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
Regression Technique ◽  
Road Accidents ◽  
Factors Affecting ◽  
Accident Severity

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. This study was attempted to identify factors affecting severity of the community road accidents. In particular, our analyses were focused on the community road accidents. A binary logistic regression technique was adopted for the analyses. The results showed that pedestrians of 65 years or older, cloudy, fence (sidewalk/driveway barrier), drivers of 24 years or younger, left/right turning, female pedestrian, non-business vehicle were dominant factors for the severity.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

Factors Affecting Attitudes Towards Broadband Adoption in the Kingdom of Saudi Arabia

2011 ◽  
pp. 380-393
Author(s):  
Vishanth Weerakkody
Keyword(s):  
Saudi Arabia ◽  
Cultural Influences ◽  
Cultural Factors ◽  
Kingdom Of Saudi Arabia ◽  
Future Directions ◽  
Factors Affecting ◽  
Individual Level ◽  
Slow Progress ◽  
Survey Approach ◽  
Main Influence

Utilizing a survey approach, this research set out to explore the reasons for the slow progress in broadband adoption and investigates the factors that may be affecting the adoption of broadband by KSA consumers. Particular emphasis was placed on individual-level factors such as social and cultural influences. The key findings were that the factors with the main influence on attitude towards adoption of broadband were: (1) usefulness, (2) service quality, (3) age, (4) usage, (5) type of connection, and (6) type of accommodation. Contrary to prediction, although socio-cultural factors such as regulation through filtration of broadband were found to have no significant influence on the adoption of broadband, consumers were aware and largely did not like the regulation. The chapter also provides a discussion on research implications, limitations, and future directions.

Qualitative Analysis of IT/IS Evaluation Practices in Private Organisations in Saudi Arabia

2018 ◽  
Vol 7 (1) ◽  
pp. 1-16
Author(s):  
Saeed Q. Al-Khalidi Al-Maliki
Keyword(s):  
Information Technology ◽  
Saudi Arabia ◽  
Private Sector ◽  
Western World ◽  
Kingdom Of Saudi Arabia ◽  
Factors Affecting ◽  
It Implementation ◽  
It Managers ◽  
Is Evaluation ◽  
Evaluation Techniques

Many studies have been carried out on information technology/information systems (IT/IS) in the Western world, but little research has been conducted in the Saudi private sector. This study has been conducted to identify and examine the IT/IS evaluation processes employed in the Saudi private sector and any factors that hinder such organisations from evaluating their systems effectively. This article concentrates on the results of those interviews. Numerous studies have been conducted on the mechanisms of IT/IS evaluation techniques and the factors affecting their implementation, but there are very few studies in this field in Saudi Arabia, and they are generally sections of other main studies about IT implementation, use, and investment. This article aims to identify means of evaluating IT/IS in the private sector. 30 IT managers in private-sector companies were randomly selected from the list of top companies issued by the Council of Saudi Chambers of Commerce in the Kingdom of Saudi Arabia.

Determinants of capital structure of banks: evidence from the Kingdom of Saudi Arabia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shoaib Khan ◽  
Usman Bashir ◽  
Md. Saiful Islam
Keyword(s):  
Saudi Arabia ◽  
Capital Structure ◽  
Commercial Banks ◽  
Kingdom Of Saudi Arabia ◽  
Content Type ◽  
Factors Affecting ◽  
Earnings Volatility ◽  
Explanatory Variables ◽  
Practical Implications ◽  
The Capital Structure

Purpose The purpose of this study is to investigate the most important factors that affect the capital structure of commercial banks in the Kingdom of Saudi Arabia. Design/methodology/approach This study uses annual data of 11 Saudi commercial, national banks listed on the tadawul Saudi stock exchange for the period 2010–2017. Data was collected from the banks financial statements, tadawul annual publications and Saudi Arabian Monetary Authority. By constructing a balanced panel, this study uses pooled ordinary least squares regression along with fixed effects and random effects to examine the relationship between the bank’s book leverage as the dependent variable and bank-specific explanatory variables that include profitability, tangibility, earnings volatility, growth opportunities and bank size, while controlling for macroeconomic conditions. Findings The findings of this study suggest that banks in Saudi Arabia are highly leveraged, endorsing the fact that the nature of banks’ business is different from non-banking firms. Earnings volatility, growth and bank size show positive and significant relations with book leverage. Profitability and tangibility are negatively related to the book leverage. Empirically, the explanatory variables profitability, earnings volatility, tangibility, growth and bank size have material effects on the capital structure decisions of Saudi commercial banks. In summary, the determinants of capital structure for Saudi banks are the same as those of non-financial firms but are distinctive in nature. Research limitations/implications An extensive study on all the banks operating in Gulf Cooperation Council (GCC) countries is suggested. Practical implications The findings have practical implications for bank managers, which will help them to identify the bank-specific factors affecting the capital structure and choose the values enhancing optimal capital structure. The results of this study can assist regulatory agencies to formulate an effective regulatory framework. Moreover, the findings lay a foundation for the development of financial sector under the umbrella of the Vision 2030 program in the Kingdom. Originality/value To the best of the authors’ knowledge, this is the first study to explore the factors affecting the capital structure choices of commercial banks operating in the Kingdom of Saudi Arabia. Moreover, the findings of the study would prove useful in detailed studies of capital structure in the GCC countries as well.

Comparison between students and residents on determinants of willingness to separate waste and waste separation behaviour in Zhengzhou, China

2017 ◽  
Vol 35 (9) ◽  
pp. 949-957 ◽  
Author(s):  
Xiaoping Dai ◽  
Yuping Han ◽  
Xiaohong Zhang ◽  
Wei Hu ◽  
Liangji Huang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Undergraduate Students ◽  
Regression Models ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Management Policies ◽  
Waste Separation ◽  
Do So

A better understanding of willingness to separate waste and waste separation behaviour can aid the design and improvement of waste management policies. Based on the intercept questionnaire survey data of undergraduate students and residents in Zhengzhou City of China, this article compared factors affecting the willingness and behaviour of students and residents to participate in waste separation using two binary logistic regression models. Improvement opportunities for waste separation were also discussed. Binary logistic regression results indicate that knowledge of and attitude to waste separation and acceptance of waste education significantly affect the willingness of undergraduate students to separate waste, and demographic factors, such as gender, age, education level, and income, significantly affect the willingness of residents to do so. Presence of waste-specific bins and attitude to waste separation are drivers of waste separation behaviour for both students and residents. Improved education about waste separation and facilities are effective to stimulate waste separation, and charging on unsorted waste may be an effective way to improve it in Zhengzhou.

scholarly journals FACTORS AFFECTING THE CHOICE OF PRIMARY HEALTH CARE CENTERS IN WESTERN REGION OF KINGDOM OF SAUDI ARABIA.

2017 ◽  
Vol 5 (11) ◽  
pp. 251-257
Author(s):  
JumanahAhmed Alsaedi ◽  
◽  
ElhamAhmad Bantan ◽  
HanadiHezamAl Thobaiti ◽  
NawalSafar Alosaimi ◽  
...  
Keyword(s):  
Health Care ◽  
Saudi Arabia ◽  
Primary Health Care ◽  
Western Region ◽  
Kingdom Of Saudi Arabia ◽  
Factors Affecting ◽  
Primary Health ◽  
Primary Health Care Centers ◽  
Health Care Centers

scholarly journals A COMPARISON OF THE PREDICTIVE POWERS OF TENURE CHOICES BETWEEN PROPERTY OWNERSHIP AND RENTING

2019 ◽  
Vol 23 (2) ◽  
pp. 130-141 ◽  
Author(s):  
Chun-Chang Lee ◽  
Chih-Min Liang ◽  
Yang-Tung Liu
Keyword(s):  
Logistic Regression ◽  
Discriminant Analysis ◽  
Performance Prediction ◽  
Predictive Power ◽  
Cross Validation ◽  
Binary Logistic Regression ◽  
Analysis Model ◽  
Linear Modeling ◽  
Binary Logistic Regression Model ◽  
Hit Rate

This paper compares the predictive powers of hierarchical generalized linear modeling (HGLM), logistic regression, and discriminant analysis with regard to tenure choices between buying property and renting property by sampling the residents of the Greater Taipei area. The results imply that the hit rate and other indicators included in HGLM have better predictive power with regard to tenure choices than the binary logistic regression model and the discriminant analysis model. That is, using HGLM to process nested data can increase prediction accuracy regarding household tenure choices. Furthermore, cross-validation is performed to analyze hit rate stability. The hit rate sequencing from this cross-validation is found to be consistent with the HGLM results, implying that the comparison of the three models in terms of hit rate performance prediction in this study is stable and reliable.

scholarly journals Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents

2018 ◽  
Vol 14 (4) ◽  
pp. 10-21
Author(s):  
Ahmet Tortum ◽  
Alireza Motamadnia
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Motor Vehicle ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Road Surface ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Surface Conditions

Abstract The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.

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