Principles and Practices to Synthesize Research Evidence from Complex Survey Data (PhD project)
The doctoral research projects aim to investigate the replicability and generalizability of findings in educational research, and the accuracy of the split, analyze, meta-analyse (SAM) approach to summarize evidence of estimated parameters using complex-survey data.
Illustration photo, Unsplash.
About the project
Individual Participant Data meta-analysis can be used to synthesize the information from national and international educational assessments. The approach can overcome the difficulties in the metaanalysis of complex survey data and produce results that can inform evidence-based practice, such as a pooled estimate of treatment effects across studies and how the treatment effect is modified by study level characteristics.
The project aims to a) develop and evaluate analytic approaches to synthesizing specific results of ILSAs using meta-analyses; b) Conduct meta-analyses that address educationally relevant research questions with ILSA data; c) Provide tools and guidelines for researchers who wish to synthesize the results of ILSAs for a specific research question.
Regional, national, and international educational assessments are increasing around the world. The assessments can be used to synthesize findings from different populations on a common topic. However, the evidence provided from these assessments is not considered in most meta-analyses.