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

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Title:	The BASIE (BAyeSian Interpretation of Estimates) Framework for Interpreting Findings from Impact Evaluations: A Practical Guide for Education Researchers
Description:	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.
Online Availability:	Download, view and print the report as a pdf file. (1.7MB) Download/View the file as an Excel spreadsheet. (5.3MB) Download BASIE R and Stan code (216KB)
Cover Date:	April 2022
Web Release:	April 25, 2022
Print Release:	April 25, 2022
Publication #:	NCEE 2022005 General Ordering Information
Center/Program:	NCEE
Authors:	John Deke, Mariel Finucane, and Daniel Thal: Mathematica
Type of Product:	Toolkit
Keywords:	Educational Research Implementation Practices
Questions:	For questions about the content of this Toolkit, please contact: Thomas Wei.