Establishing Goals and Expectations

All Research

BURIED TREASURE: Developing a Management Guide From Mountains of School Data

This report provides a practical “management guide,” for an evidence-based key indicator data decision system for school districts and schools.

Celio, M. B., & Harvey, J. (2005). Buried Treasure: Developing A Management Guide From Mountains of School Data. Center on Reinventing Public Education.

Using Data from High-Stakes Testing in Program Planning and Evaluation
This article intends to help school psychologists understand high stakes tests, methods for analyzing and reporting high stakes results, standards for tests and program evaluation, and application of practices to improve student performance.
Braden, J. P. (2007). Using data from high-stakes testing in program planning and evaluation. Journal of Applied School Psychology, 23(2), 129-150.
From Data to Wisdom: Quality Improvement Strategies Supporting Large-scale Implementation of Evidence-Based Services
The goal of this article is to illustrate various strategies that the Hawaii Child and Adolescent Mental Health Division adopted to increase the use of empirical evidence to improve the quality services and outcomes for youth.
Daleiden, E. L., & Chorpita, B. F. (2005). From data to wisdom: Quality improvement strategies supporting large-scale implementation of evidence-based services. Child and adolescent psychiatric clinics of North America, 14(2), 329-349.
Bringing Out The Best In People
This book by organizational psychologist Aubrey C. Daniels is a guide for anyone who is required to supervise people and is particularly relevant to school principals. It is based on applying positive consequences to improve performance and offers strategies to reduce undesirable behavior so your school and employees can be successful.
Daniels, A. C., Tapscott, D., & Caston, A. (2000). Bringing out the best in people. Columbus, OH: McGraw-Hill.
Human Competence: Engineering Worthy Performance
This book is written by Tom Gilbert who is one of the most influential theorists in building a science of performance management. Although not explicitly written for educators, it offers concrete examples principals can apply to improve the performance of teachers and other school personnel so student’s can ultimately be successful.
Gilbert, T. F. (1978). Human competence—engineering worthy performance. NSPI Journal, 17(9), 19-27.
Why Data Don't Matter
This paper discusses reasons why educators fail to embrace the collection and use of data.
Landrum, T. J. (1997). Why data don't matter. Journal of Behavioral Education, 7(2), 123-129.
Making sense of data-driven decision making in education.
This paper uses research to show how schools and districts are analyzing achievement test results and other types of data to make decisions to improve student success.
Marsh, J. A., Pane, J. F., & Hamilton, L. S. (2006). Making sense of data-driven decision making in education.
Use of Education Data at the Local Level From Accountability to Instructional Improvement
This report looks at the implementation of student data systems and the use of data for improving student performance.
Means, B., Padilla, C., & Gallagher, L. (2010). Use of Education Data at the Local Level: From Accountability to Instructional Improvement. US Department of Education.
Implementing Data-Informed Decision Making in Schools-Teacher Access, Supports and Use
This paper documents education data systems and data-informed decision making in districts and schools. It examines implementation and the practices involving the use of data to improve instruction.
Means, B., Padilla, C., DeBarger, A., & Bakia, M. (2009). Implementing Data-Informed Decision Making in Schools: Teacher Access, Supports and Use. US Department of Education.
Achieving a Wealth of Riches: Delivering on the Promise of Data to Transform Teaching and Learning
This policy brief addresses why using data represents a significant shift for most teachers on how they perform their jobs and details the infrastructure necessary to encourage teachers' use of data.
Miller, M. (2009). Achieving a Wealth of Riches: Delivering on the Promise of Data to Transform Teaching and Learning. Policy Brief. Alliance for Excellent Education.
Value Added Modeling: The Challenge of Measuring Educational Outcomes
This paper examines the critical issues that need to be addressed if value-added modeling is to be effectively used in education.
Stewart, B. E. (2006). Value-added modeling: The challenge of measuring educational outcomes. Carnegie Corporation of New York.
Putting Data into Practice: Lessons From New York City
This report looks at New York City's efforts to create an evidence-based and collaborative teaching culture.
Tucker, B. (2010). Putting data into practice: Lessons from New York City. Education Sector Reports.
Leadership for data-based decision-making: Collaborative data teams, 2006
This article offers practical suggestions on how to build a data-based culture in schools.
Wayman, J. C., Midgley, S., & Stringfield, S. (2006). Leadership for data-based decision-making: Collaborative educator teams. Learner centered leadership: Research, policy, and practice, 189-206.
Software Enabling School Improvement Through Analysis of Student Data
This paper considers issues surrounding the use data and data based decision-making in schools. It describes the state of the field and possible future directions in school based technology.
Wayman, Jeffrey C., Sam Stringfield, and Mary Yakimowski. "Software enabling school improvement through analysis of student data." (2004).
The data-informed district: A district-wide evaluation of data use in the Natrona County School District, 2007
This is an analysis of a district-wide evaluation of data uses and procedures for data-based decision-making.
Wayman, Jeffrey C., Vincent Cho, and Mary T. Johnston. "The data-informed district: A district-wide evaluation of data use in the Natrona County School District." (2007).
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