scholarly journals Influence of Socio-Economic Conditions of Farmers on the Control of Insect Pests of Citrus in Benue State, Nigeria

2016 ◽  
Vol 8 (2) ◽  
pp. 84
Author(s):  
T. A. K. Anzaku ◽  
D. A. Anda ◽  
I. B. Umar
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Insect Pests ◽  
Descriptive Statistics ◽  
Economic Conditions ◽  
Citrus Fruits ◽  
High Quality ◽  
Citrus Production ◽  
Socio Economic Variables

<p>Despite the significant losses of citrus fruits due to insect pests damage, not all farmers control the menace of these pests. Control of these pests is inevitable for high quality, sustained and increased production of the product and income for the farmers. It is, therefore, imperative in the study to empirically establish the socio-economic variables of citrus farmers influencing the control of citrus insect pests. To achieve this, data collected from a random sample of 50 commercial citrus farmers from the major producing areas of Benue State in 2014, through the use of questionnaire, were analyzed by employing descriptive statistics and logistic regression model. With the exception of age with a coefficient of -.035, which influenced the control of insect pests negatively, the influence of other variables such as education (.362), experience (.159), gender (.992), income from citrus (.002) and income from other enterprises (.001) were positive, although only education and income earned from citrus were significant at 10% and 1% level of probability, respectively. Control of insect pests of citrus can be better achieved by potential and existing farmers if their education and earning from citrus production are continually and simultaneously increased.</p>

Civic Engagement on Voters Turnout in General Election

2019 ◽  
Vol 6 (4) ◽  
pp. 15-28
Author(s):  
Robert Wankanya Kisusu ◽  
Samsosn T. Tongori
Keyword(s):  
Logistic Regression ◽  
Civic Engagement ◽  
Regression Model ◽  
Voter Turnout ◽  
Logistic Regression Model ◽  
General Election ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Democratic System ◽  
Gender System

The concern of voter turnout during general election is a serious problem. As such, the study found that civic engagement influences significantly voter turnout during general election in Tanzania. The findings based on primary data and descriptive statistics and a logistic regression model identified how civic engagement influences maximum voters turnout. These include putting names of voters before election day, authority to enforce law protecting voters, communities to know the importance of voting, Further, logistic regression model also deepens the finding that civic engagement influences voters turnout by establishing gender system on voting and emphasis youth's registration before election and .to encourage voters so that they know importance of voting. Conclusion is that voter turnout requires well organised and arranged packages of civic engagement. Recommendation is to emphasis on civic engagement as it explores voters' interest specifically democratic system and transparency.

scholarly journals Rice Marketing as a Means of Poverty Alleviation in Niger State, Nigeria

2014 ◽  
Vol 47 (4) ◽  
pp. 137-141
Author(s):  
Eniola Oluwatoyin Olorunsanya ◽  
Josephine Utsunu Ugbong
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Logistic Regression Model ◽  
Educational Status ◽  
Household Size ◽  
Descriptive Statistics ◽  
Poverty Measures ◽  
And Gender

Abstract This study examined rice marketing as a means of poverty alleviation in Niger State, North Central Nigeria. Ninety-eight representative rice marketers’ households were used for the study. Descriptive statistics, Foster, Greer and Thorbecke poverty measures as well as logistic regression model were used as the analytical tools for the study. The result of the descriptive statistics shows that forty-nine percent of the rice marketers have no western education and majority of the rice marketers’ households used open spaces for defecation. The result of the poverty profile shows that all the representative households were poor using 1.25 dollar a day poverty benchmark and only 32 percent were poor using the estimated relative poverty benchmark of N 1,894.2 per capita. The result of the logistic regression model shows the following factors influenced the poverty status of the rice marketers’ households in the study area. These are age and gender of the rice marketers, household size, other sources of income, marital status of the rice marketers and their educational status. The study recommends manageable household size as well as improved level of education for members of the rice marketers’ households for poverty reduction in the study area.

Civic Engagement on Voters Turnout in General Election

2022 ◽  
pp. 1111-1124
Author(s):  
Robert Wankanya Kisusu ◽  
Samsosn T. Tongori
Keyword(s):  
Logistic Regression ◽  
Civic Engagement ◽  
Regression Model ◽  
Voter Turnout ◽  
Logistic Regression Model ◽  
General Election ◽  
Descriptive Statistics ◽  
Primary Data ◽  
Democratic System ◽  
Gender System

The concern of voter turnout during general election is a serious problem. As such, the study found that civic engagement influences significantly voter turnout during general election in Tanzania. The findings based on primary data and descriptive statistics and a logistic regression model identified how civic engagement influences maximum voters turnout. These include putting names of voters before election day, authority to enforce law protecting voters, communities to know the importance of voting, Further, logistic regression model also deepens the finding that civic engagement influences voters turnout by establishing gender system on voting and emphasis youth's registration before election and .to encourage voters so that they know importance of voting. Conclusion is that voter turnout requires well organised and arranged packages of civic engagement. Recommendation is to emphasis on civic engagement as it explores voters' interest specifically democratic system and transparency.

scholarly journals A Logistic Regression Model Comparing Astronomy And Non-Astronomy Teachers In Québec’s Elementary Schools

2019 ◽  
Vol 6 (1) ◽  
pp. 1-16
Author(s):  
Pierre Chastenay ◽  
Martin Riopel
Keyword(s):  
Logistic Regression ◽  
Elementary Schools ◽  
Elementary Teachers ◽  
Regression Model ◽  
Science Teaching ◽  
Online Survey ◽  
Logistic Regression Model ◽  
Elementary Classrooms ◽  
High Quality ◽  
Service Training

Based on the results of an online survey of 500 Québec’s elementary (K-6) teachers conducted in 2015 that probed the way respondents teach astronomy to their classrooms, their background in S&T, their pre-service education, their aims and goals for astronomy teaching, their attitude toward teaching astronomy, the resources and materials they use, their view on the effectiveness of pre- and in-service training, and their need for in-service training, we present a logistic regression model comparing elementary teachers in our survey that teach astronomy to their class (“Astronomy” teachers, N = 244) and those who don’t (“Non-astronomy” teachers, N = 256), to reveal factors that seem to facilitate or hinder astronomy teaching in Québec’s elementary classrooms. Based on the model, several ways to enhance the teaching of astronomy in Québec’s K-6 classrooms are proposed: offer high-quality pre- and in-service training in astronomy to elementary teachers, raise the profile of science teaching in elementary schools, and help teachers realize the importance of teaching astronomy in their classrooms to cover the curriculum standards.

scholarly journals Work absence and multimorbidity in Portugal: results from the 1st National Health Examination Survey

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Matos ◽  
C Matias Dias ◽  
A Félix
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Chronic Diseases ◽  
National Health ◽  
Logistic Regression Model ◽  
Health Examination ◽  
Work Absence ◽  
Health Examination Survey ◽  
Absence From Work ◽  
The Impact

Abstract Background Studies on the impact of patients with multimorbidity in the absence of work indicate that the number and type of chronic diseases may increase absenteeism and that the risk of absence from work is higher in people with two or more chronic diseases. This study analyzed the association between multimorbidity and greater frequency and duration of work absence in the portuguese population between the ages of 25 and 65 during 2015. Methods This is an epidemiological, observational, cross-sectional study with an analytical component that has its source of information from the 1st National Health Examination Survey. The study analyzed univariate, bivariate and multivariate variables under study. A multivariate logistic regression model was constructed. Results The prevalence of absenteeism was 55,1%. Education showed an association with absence of work (p = 0,0157), as well as professional activity (p = 0,0086). It wasn't possible to verify association between the presence of chronic diseases (p = 0,9358) or the presence of multimorbidity (p = 0,4309) with absence of work. The prevalence of multimorbidity was 31,8%. There was association between age (p &lt; 0,0001), education (p &lt; 0,001) and yield (p = 0,0009) and multimorbidity. There is no increase in the number of days of absence from work due to the increase in the number of chronic diseases. In the optimized logistic regression model the only variables that demonstrated association with the variable labor absence were age (p = 0,0391) and education (0,0089). Conclusions The scientific evidence generated will contribute to the current discussion on the need for the health and social security system to develop policies to patients with multimorbidity. Key messages The prevalence of absenteeism and multimorbidity in Portugal was respectively 55,1% and 31,8%. In the optimized model age and education demonstrated association with the variable labor absence.

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