This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on “Analysis of Determinants of Effectiveness of Extension Agents”.
I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Agricultural Economics and Extension for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Analysis of Determinants of Effectiveness of Extension Agents provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.
The study focused on the determinants of effectiveness of extension agents in the Ebonyi State Extension Service. A total of 75 extension agents and 150 contact farmers were used as respondents in the study. Validated questionnaires and interview schedules were used in collecting data from the respondents. Results showed that males (72%) dominated the Ebonyi State Extension Service. The mean age for the extension agents was 38years and the mean annual income was N275, 800. About 53.33% of the respondents were married.
The average year of experience in extension was 14 years, while 80% of the Extension Agents had BSc/HND qualifications. The aggregate mean index of the performance effectiveness of Extension Agents calculated from the seven indicators/criteria gave 48.8 percent (2.44 out of maximum of 5 points). Results of the regression analysis carried out to establish the relationships between the socio-economic characteristics of Extension Agents and their functional effectiveness showed that the independent variables (socio-economic characters) studied accounted for a co-efficient of multiple determination (R2) of 58.5% (0.585). Also, results of the regression analysis carried out to establish the relationship and influence of characteristic features of Ebonyi State Extension Service and the functional effectiveness of extension agents showed that the independent variables studied accounted for a co-efficient of multiple determination (R2) of 41.0% (0.410).
The first regression analysis showed that there are significant relationships between the functional effectiveness of extension agents in Ebonyi State and their personal and socio-economic characteristics, while the second regression analysis showed that there are significant relationships between the extension agency-related factors and functional effectiveness of extension agents in Ebonyi State. It was recommended that the effectiveness of extension agents can be enhanced by Ebonyi State Extension Service with the assistance of the state government and any other donor or aid agencies, approving and organising systematic induction courses and in-service training for extension agents to enable them properly perceive their roles and functions.
1.1 Introduction
… As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Research hypothesis and questions, Limitation of the study and Definition of technical terms.…
