Regression Analysis of Entry Scores (KCPE) and Final Performance (KCSE) in Kenya: A Case of Nyamira District, Nyamira County, Kenya.

Abstract

Teacher’s presence plays an important role in determining the learners’ performance in Kenya certificate of secondary education. Learners’ performance in Kenya certificate of primary education is very crucial in determining their final grade in Kenya certificate of secondary education. Depending on the institutions the learners get admitted to, they will improve, maintain or drop. It is known that the individual’s life structure is shaped by three types of external events; the social-cultural environment, the role they play and the relationships they have and the opportunities and constraints that enable them express and develop their personality. The main purpose of the study is to investigate regression analysis of entry scores (KCPE) and final performance (KCSE) and find out the relationship. The specific objectives of the study will be to analyze the relationship between entry marks and final grade, to verify whether entry mark impact on the final performance and to find out whether entry marks determine the outcome of the final performance. The study will be carried out in Nyamira district public secondary schools which are both provincial and district. The data to be used in this study will comprise 48 schools of which a sample of 16 schools will be used to create sampling framework. Simple random sampling will be used to select a sample of the accessible schools. A sample of 572 students of which 348 girls and 224 boys were analyzed. Regression analysis will be used to analyze data which will be useful in measuring entry scores in KCPE and final performance in KCSE. Given the reliability of regression analysis of the data, the results could be used to alert the management, stakeholders and parents, the level of learners and the strategies needed for them to achieve better results. Furthermore, it will let educators know the existing situation and suggest away forward to save the situation.

Key Words: Attitude, analysis, performance, regression, stake holders and learning resources.