The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers
NCEE
Author(s):
John Deke, Mariel Finucane, and Daniel Thal: Mathematica
Publication date:
April 2022
Publication number:
NCEE 2022005
Summary
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.
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NCEE
The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers
By:John Deke, Mariel Finucane, and Daniel Thal: Mathematica
