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Original Articles

Supporting Collaborative Efforts in Implementing Evidence-Based Reading Interventions: The Role of Online Databases

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Pages 81-95 | Received 20 Aug 2013, Accepted 21 Aug 2013, Published online: 02 Jun 2014
 

Abstract

The purpose of this article is to provide an explanation of how effective reading interventions are identified. Through a review of the National Reading Panel's general findings, along with a review of systems currently used to evaluate and disseminate specific reading interventions, a discussion of what works in reading is presented. The Evidence-Based Intervention Network is presented as a resource for facilitating collaboration across disciplines. Finally, a framework to guide collaborating professionals in the implementation of evidence-based reading interventions is proposed.

Additional information

Notes on contributors

Gina Coffee

Gina Coffee, PhD, is an Associate Professor in the School Psychology Program at Loyola University Chicago. In practice, teaching, and research, she focuses on the prevention of academic, behavioral, social, emotional, and health difficulties in children by collaborating with educators and parents in individual and systems-wide consultation.

Markeda L. Newell

Markeda L. Newell, PhD, is an Associate Professor in School Psychology at the University of Wisconsin–Milwaukee. Her research focuses on the development and evaluation of consultation as well as multicultural competence.

Adam S. Kennedy

Adam S. Kennedy, PhD, is Assistant Professor of Early Childhood Special Education at Loyola University Chicago. He is responsible for coordinating the early childhood specialty area in Teaching, Learning, and Leading with Schools and Communities (TLLSC), a field-based undergraduate teacher education program. He conducts research in the areas of cultural competence in early educators and the social competence of young children with special needs.

Note: The authors report that to the best of their knowledge neither they nor their affiliated institutions have financial or personal relationships or affiliations that could influence or bias the opinions, decisions, or work presented in this article.

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