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|NCEE 2022005||The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide also provides conceptual and technical details for evaluation methodologists.
|NCEE 2022004||Sharing Study Data: A Guide for Education Researchers
Open science envisions that researchers will make their study data available to other investigators to facilitate research transparency and accelerate the development of knowledge. This guide describes key issues that education researchers should consider when deciding which study data to share, how to organize the data, what documentation to include, and where to share their final dataset. The guide also provides strategies for addressing related challenges and includes links to other resources, a checklist aligned to each section, and appendices that contain templates and samples.
|NCEE 2022003||Enhancing the Generalizability of Impact Studies in Education
This guide will help researchers design and implement impact studies in education so that the findings are more generalizable to the study’s target population. Guidance is provided on key steps that researchers can take, including defining the target population, selecting a sample of schools—and replacement schools, when needed—managing school recruitment, assessing, and adjusting for differences between the sample and target population, and reporting information on the generalizability of the study findings.
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