scholarly journals Religious vs Secular volunteering motivations: A study on European elders

2018 ◽  
Vol 6 (1) ◽  
pp. 82 ◽  
Author(s):  
Antonio Ariza-Montes ◽  
Pilar Tirado-Valencia ◽  
Vicente Fernández-Rodríguez ◽  
Mark Hager
Keyword(s):  
Logistic Regression ◽  
Empirical Study ◽  
Regression Model ◽  
Cultural Values ◽  
Logistic Regression Model ◽  
Demographic Variables ◽  
Contextual Variables ◽  
Cultural Aspects ◽  
Variable Influence ◽  
Elder People

The reality of volunteering is highly complex. This concept is difficult to define and typify because of the great variety of interpretations, motivations, socio-demographic variables and cultural aspects that shape the volunteer profile. This work aims to analyze the differential and inter-related impact of socio-demographic and contextual variables, and cultural values on elder volunteer profile in Europe. We thus conduct an empirical study involving the use of a logistic regression model that shows, in probabilistic terms, traits that characterize senior and retired volunteers. Further, we study which variables motivate senior volunteers to a determined type of volunteering. Results from the European Value Study help to explain variable influence on volunteering and confirm that cultural values impact among elder people, both, election to volunteering activities and decisions regarding which kind of activity volunteers are drawn to. By analyzing two types of volunteering (religious and secular) that are supposed to be motivated by different forces, we conclude that certain values encourage religious volunteering while others stimulate secular volunteering.

An Empirical Study on Identification of False Accounting Information of Listed Companies -Based on the Comparison between Logistic Regression Model and Multiple Eigenvalues Detection Model

2011 ◽  
Vol 268-270 ◽  
pp. 753-758
Author(s):  
Ai Hao Guan
Keyword(s):  
Logistic Regression ◽  
Empirical Study ◽  
Regression Model ◽  
Empirical Analysis ◽  
Logistic Regression Model ◽  
Accounting Information ◽  
Listed Companies ◽  
Detection Model ◽  
Multiple Eigenvalues

In this study, multiple eigenvalues detection model has been put forward and empirical analysis and comparison between logistic regression model and multiple eigenvalues detection model has been conducted in the same sample on the basis of overall data. The results have showed the characteristics of accuracy, stability or extensive adaptability of multiple eigenvalues detection model in detecting false accounting information.

scholarly journals Intention to Hepatitis B Vaccinate: Evidence from Migrant Workers in Tianjin, China

2020 ◽  
Author(s):  
Cai Liu ◽  
Stephen Nicholas ◽  
Wang Jian
Keyword(s):  
Logistic Regression ◽  
Hepatitis B ◽  
Regression Model ◽  
Migrant Workers ◽  
Logistic Regression Model ◽  
Binary Logistic Regression ◽  
Demographic Variables ◽  
Binary Logistic Regression Model ◽  
Severity Factor ◽  
Hb Vaccine

Abstract Background: Migrant workers are a susceptible population to the hepatitis B virus and a vulnerablespot in China’s immunization procedures. There is no free HB immunization program for migrant workers in China, so understanding migrant workers’ motivation to receive the hepatitis B vaccine is the first step in designing effect immunization policies.Method: A cross-sectional study was carried out in three migrant-dense industries in Tianjin, China. Our sample consisted of 406 migrant workers, 133 from the retail industry, 119 from the manufacturing industry, and 154 from the service industry. Protection motivation theory (PMT) factors were produced by principal component factor analysis. Socio-demographic variables, migration-industry variablesand PMT factors were estimated in a step-by-step binary logistic regression model to explore migrant workers intention to vaccinate.Results: The nested binary logistic regression model results suggested that the severity factor, self-efficacy factor and response cost factor from the PMT constructs were the three statistically significant factors (p<0.05) that affect the migrant workers vaccination intention. The severity factor and self-efficacy factor to HB vaccination were positively related to HB vaccination intention (OR=1.500, OR=1.631) while the response cost was negatively related to motivation to take HB vaccine (OR=0.626). The socio-demographic variables showed that younger, married and good self-rated health status participants were statistically associated with the intention of taking the HB vaccine. Sex, education level and income group were not significantly associated with vaccination intentions. The migration-industry variables show that migrant location had astrong effect on migrant workers’ vaccination intention.Conclusions: Applying integrated PMT constructs to the vaccination intention of Tianjin’s migrant population provide new insights into migrant workers’ intention to the HB vaccinate. Our findings suggest specific recommendations on health education and immunization management policies for migrant workers.

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