@article{CRSIJ26000083,
                  author = {RASAKI, Rasheed Olakunle , Prof. Ogbaini Aliu Clement, Prof. Bankole Odofin, Samuel Tosin Olorunnisola, Joseph Oluwafemi Oluwasegun},
                  title = {Effect of real-time data analytics on school administrators' staffing decision-making (a case study of public secondary schools in badagry local government area, Lagos state)},
                  journal = {Cosmo Research and Science International Journal},
                  year = {2025},
                  volume = {1},
                  number = {5},
                  pages = {66-84},
                  issn = {3108-1584},
                  url = {https://cosmorsij.com/published/CRSIJ26000083.pdf},
                  abstract = {The increasing complexity of school systems has heightened the need for evidence-based administrative practices, particularly in staffing decision-making. This study examined the effect of real-time data analytics on school administrators’ staffing decision-making in public secondary schools in Badagry Local Government Area, Lagos State. A descriptive survey research design was adopted, and the entire population of 120 school administrators, comprising principals, vice principals (academic and administration), and other senior administrators, was studied, yielding a 100% response rate. Data were collected using a structured questionnaire titled Real-Time Data Analytics and Staffing Decision-Making Questionnaire (RTDASDMQ). Descriptive statistics (frequency, percentage, mean, and standard deviation) were used to answer the research questions, while inferential statistics, including regression analysis and Pearson Product Moment Correlation, were employed to test the hypotheses at a 0.05 level of significance. The findings revealed a moderate level of utilization of real-time data analytics among school administrators. Results further indicated that real-time data analytics had a significant positive effect on the effectiveness and timeliness of staffing decision-making. A significant positive relationship was also found between the utilization of real-time data analytics and the quality of staffing decisions. Despite these benefits, school administrators faced notable challenges in adopting real-time data analytics, including inadequate ICT infrastructure, limited internet access, insufficient training, lack of data analytics skills, and resistance to change. The study concluded that real-time data analytics enhances the quality, transparency, and responsiveness of staffing decision-making in public secondary schools. It therefore recommends increased investment in ICT infrastructure, capacity-building programs for school administrators, and the promotion of a data-driven decision-making culture to improve staffing outcomes and overall school performance.},
                  keywords = {Real-time data analytics; staffing decision-making; school administrators; public secondary schools; data-driven decision-making},
                  month = {March}
        }