Qualitative Tools to Enhance Data Analysis from Diverse Sources of International Education Policy in Order to Create a More Perfect Evaluation Toolset

Abstract This project proposes a new protocol for implementing meta-synthesis as a research tool. Meta-synthesis allows researchers to combine data sets from multiple sources that appear unconnected; it allows data sets to be extracted from multiple domains and knowledge banks that present as being unable to be combined or cross-transferable. This project presents a protocol designed to guide meta-synthesis which was used to extract critical relevant data from the Sustainable Development Goals (SDGs) related to inclusive education and inclusive work and rehabilitation policies and practices. The project shows with deliverables how, with this data in hand, newly aggregated extracted data can be modeled and turned into evaluation tools for use by researchers and policy makers. Keywords: meta-synthesis, meta-analysis, methodology, disability, inclusion.