The use of structural equation models for causal inference from panel data is critiqued in the causal inference literature for unnecessarily relying on a large number of parametric assumptions, and alternative methods originating from the potential outcomes framework have been recommended, such as inverse probability weighting (IPW) estimation of…

Studies have indicated that the learning results are closely related to how much effort a student puts into the course and how effectively the student works with the learning material. Adequate time-on-task is crucial for student teachers because it allows them to develop their teaching skills, build strong relationships with students, adapt to…

The Data Must Speak (DMS) Positive Deviance research aims to improve the equity and quality of education through the use of data by studying the practices and behaviours of 'positive deviant' schools -- schools that outperform others despite operating in similar contexts and with equivalent resources. The analysis aims to inform practical…

In July 2021 the Chinese Government unexpectedly released what has become known colloquially as the 'Double-Reduction' policy. The policy decreed the reduction of homework pressure on students and greater control of private tutorial companies. In this paper, we set out to understand why the Chinese central government launched the…