The purpose of this study was to investigate influence of truancy on studentsβ academic performance in Alimosho Local Government Area of Lagos State of Nigeria. To achieve the aim of this study, four hypotheses were formulated to direct the study. Literature related to the variables under study were reviewed accordingly. Ex-post factor research design was adopted for the study. A sample of two hundred (200) students were randomly selected for the study. The selection was done through the simple random sampling technique. The questionnaire was the main instrument used for data collection. To test the hypotheses and to ascertain whether to reject or retain them, Pearson product moment correlation statistical technique and One way analysis of variance (ANOVA) were adopted. This statistical tool was used because of the nature of the variable in the hypothesis directing the study. The .05 level of significance was used for the statistical testing of each of the hypothesis. The result of the analysis revealed that, absenteeism, lateness, skipping class significantly influenced academic performance of primary school pupils. Based on the findings of the study it was recommended among others that school administrators should encourage teacher in using electronic media to make teaching-learning interesting. Suggestions for further studies were made.
π Over 50,000 Research Thesis
π± 100% Offline: No internet needed
π Over 98 Departments
π Thesis-to-Journal Publication
π Undergraduate/Postgraduate Thesis
π₯ Instant Whatsapp/Email Delivery
The project titled "Applying Machine Learning Techniques to Detect Financial Fraud in Online Transactions" aims to address the critical issue of detec...
The project titled "Anomaly Detection in IoT Networks Using Machine Learning Algorithms" focuses on addressing the critical challenge of detecting ano...
The project titled "Applying Machine Learning Algorithms for Predicting Stock Market Trends" aims to explore the application of machine learning algor...
The project titled "Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data" focuses on utilizing machine learning algorithms...
The project titled "Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems" focuses on leveraging machine learning techniques ...
The project, "Implementation of a Machine Learning Algorithm for Predicting Stock Prices," aims to leverage the power of machine learning techniques t...
The project titled "Development of an Intelligent Traffic Management System using Machine Learning Algorithms" aims to revolutionize the traditional t...
No response received....
The project titled "Applying Machine Learning for Intrusion Detection in IoT Networks" aims to address the increasing cybersecurity threats targeting ...