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|NCEE 2023005||Conducting Implementation Research in Impact Studies of Education Interventions: A Guide for Researchers
This guide will help researchers examine implementation when studying the effectiveness of an education intervention so that the findings are better able to inform how the intervention can be used to improve student outcomes. Recommendations and specific steps are provided on planning, collecting, analyzing, and reporting essential data related to intervention components, implementation fidelity, context, and treatment-control contrast.
|REL 2023139||Practical Measurement for Continuous Improvement in the Classroom: A Toolkit for Educators
This toolkit is designed to guide educators in developing and improving practical measurement instruments for use in networked improvement communities (NICs) and other education contexts in which principles of continuous improvement are applied. Continuous improvement includes distinct repeating processes: understanding the problem, identifying specific targets for improvement, determining the change to introduce, implementing the change, and evaluating if and how the change led to improvements. This toolkit is intended for a team of educators who have already identified specific student learning needs and strategies to improve instruction to address those needs and are ready to test these strategies using continuous improvement processes. The toolkit aims to help the team with the final step in the cycle, which includes collecting data to measure implementation of changes and intended outcomes and using those data to inform future action. Measures for continuous improvement should be closely aligned to student learning goals and implementation of instructional strategies driving the continuous improvement effort, and they should be practical to use in a classroom setting. A team of educators can use this toolkit to proceed through a series of steps to identify what to measure, consider existing instruments, draft instruments, evaluate and refine instruments, plan data collection routines, and plan for data discussions to interpret the data and inform action. Regional Educational Laboratory (REL) Southwest developed the resources in the toolkit in partnership with the Oklahoma State Department of Education team working with the Oklahoma Excel NICs.
|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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