The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers
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The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers

NCEE 2022-005
Published: Apr 29, 2022
Publisher: Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance
Human Services Education Strengthening and Disseminating Research

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Authors

John Deke

Mariel Finucane

Dan Thal

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.

Download the BASIE probability tool

Download BASIE R and Stan code

Read other guides in this series:

Sharing Study Data: A Guide for Education Researchers

Enhancing the Generalizability of Impact Studies in Education

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