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Lenz, A. Stephen – Measurement and Evaluation in Counseling and Development, 2020
A guide for professional counselors and counseling researchers for calculating and interpreting Percent Improvement as an indicator of clinical significance is provided. Strategies for reporting findings are described and illustrated. Guidelines for contextualizing discussions of clinical significance within the boundaries of psychometric evidence…
Descriptors: Counseling, Research, Computation, Improvement
Laura Anderson; Hannah Jarmolowski; Marguerite Roza; Jessica Swanson – National Comprehensive Center, 2022
"Leading Thoughtful Conversations about School-by-School Spending Data" is a product of a federally-funded study to support the US Department of Education and the field more broadly to understand what data visualizations work to fuel thoughtful conversation among district and school leaders on financial strategy and management. This…
Descriptors: Educational Finance, Educational Equity (Finance), Data Interpretation, Visualization
Nagle, Kate; Hayes, Susan – IDEA Data Center, 2022
The purpose of this resource is to unpack Part B State Performance Plan/Annual Performance Report (SPP/APR) Indicator 3D to better understand how to use it to improve outcomes for children with individualized education programs (IEPs). Indicator 3D is a new subcomponent of Indicator 3 in the Office of Special Education Programs' (OSEP) FFY…
Descriptors: Educational Legislation, Federal Legislation, Equal Education, Students with Disabilities
Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
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…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
Swank, Jacqueline M.; Mullen, Patrick R. – Measurement and Evaluation in Counseling and Development, 2017
The article serves as a guide for researchers in developing evidence of validity using bivariate correlations, specifically construct validity. The authors outline the steps for calculating and interpreting bivariate correlations. Additionally, they provide an illustrative example and discuss the implications.
Descriptors: Correlation, Construct Validity, Guidelines, Data Interpretation
Cuiccio, Cary; Husby-Slater, Marie – State Support Network, 2018
This guidebook is designed to support state and local leaders in the first step in the improvement process, the development and facilitation of a needs assessment. The guidebook does the following: (1) Reviews some of the major school-improvement-related needs assessment requirements found in the Elementary and Secondary Education Act of 1965, as…
Descriptors: Needs Assessment, Educational Improvement, Elementary Secondary Education, Educational Legislation
Arnold, Lydia; Norton, Lin – Higher Education Academy, 2018
This resource has been written specifically for higher education practitioners who are interested in improving students' learning experiences through the process of researching their own practice. We use the term 'higher education practitioners' to describe all who work in universities and who have a stake in students' learning experiences.…
Descriptors: Higher Education, Educational Research, Action Research, Definitions

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