Study Design and Methods

The study employs a large-scale quantitative survey across 7 provinces of Nepal. The data will be collected from municipal officials, teachers, parents, NGO practitioners and children using questionnaires. This will allow us to statistically analyse different variables relating to inclusive education.

Study Diagram

The quantitative survey should document variables that correlate with best practice schools. In order to understand why and how these correlations are found, we need to collect data on:

  • the effective variables and the mechanisms they trigger to affect change
  • whether, and how these variables interact with other variables in the micro, meso, exo- or macro systems.

We will also gather qualitative data to understand the variables and mechanisms that contribute to inclusive education. We will interview relevant stakeholders around the best performing schools, with a particular emphasis on those that are relevant to the variables driving inclusive education.

We want to validate the findings on the success variables from the best-performing schools by contrasting them with weak performing schools. This comparative analytical strategy will enable us to provide a thicker description of the variables that drive inclusive education by drawing out the characteristics of the same variables in a low performing school. This will also enable us to determine whether co-creation takes place; how political economy of education governance impacts on inclusion; and how different forms of collaborations are emerging at the mesosystem.