As a response to accountability and pressure from the No Child Left Behind Act of 2002, the South Dakota Department of Education informed school administrators of a state-wide transformation of the way districts measure teacher effectiveness in their schools. In 2011, "The Framework for Teaching Evaluation Instrument" (Danielson, 2002)…

The music education profession is faced with two serious problems regarding the (mis)use of data in music teacher evaluation. The first has to do with the quality and kinds of data that music teachers have been forced to use; the second is concerned with how these data are being used in the music teacher evaluation process. The evidence I will use…

In this book, best-selling author Susan M. Brookhart helps teachers and administrators understand the critical elements and nuances of assessment data and how that information can best be used to inform improvement efforts in the school or district. Readers will learn: (1) What different kinds of data can--and cannot--tell us about student…

Purpose: Whilst beneficial, the use of evidence to improve teaching and learning in schools is proving difficult to achieve in practice. The purpose of this paper is to shed new light on this issue by examining the applicability of a model of rational behaviour as relates to the notion of evidence-informed practice (EIP). Specifically, exploring…

This paper is a research dissertation based on a qualitative case study conducted on Teachers' Experiences within a Data-Driven Decision Making (DDDM) process. The study site was a Title I elementary school in a large school district in Central Florida. Background information is given in relation to the need for research that was conducted on the…

The use of standardized test results to drive school administrator evaluations pervades education policymaking in more than 40 states. However, the results of state standardized tests are strongly influenced by non-school factors. The models of best fit (n = 18) from this correlational, explanatory, longitudinal study predicted accurately the…

This study compared a value-added approach to school accountability to the currently used metrics of accountability in California of Adequate Yearly Progress (AYP) and Academic Performance Index (API). Five-year student panel data (N?=?53,733) from 29 elementary schools in a large California school district were used to address the research…

Introduction: Accountability and diagnostic assessments usually comprise several subtests to provide information on the different components of the abilities tested. For practicality reasons such subtests are usually short. The major drawback of short subtests is their low reliability and imprecision. This study shows how a compensatory…

Given the current focus on student outcomes, use of the problem-solving model to plan interventions is one method by which school psychologists can hold themselves accountable for implementing counseling interventions that have a positive impact on student behavioral outcomes and mental health. This study surveyed school psychologists about their…

There's much talk about using data to inform education decision-making, both in and beyond the classroom. This paper examines the landscape of data literacy, based on a meeting in May 2012 which brought together the foremost researchers and professional development providers in the field of data-driven decision-making in education. The meeting…

Institutions of higher education are under pressure to be accountable for their expenditures while demonstrating their effectiveness. Through structural equation modeling, a relationship was found between expenditures and the efficiency and effectiveness of an institution, and an optimal expenditure level was found that maximized an institution's…

School accountability is subject to considerable scrutiny. It generates sharp political debate, policy challenges, and continuous discussion. Growth models are now a part of that discussion. To many practitioners the sheer volume of "important to know" information is daunting. The members of the Technical Issues in Large Scale Assessment…

The purpose of this paper is to offer an analytic perspective to policy makers and educational practitioners regarding how to use longitudinal achievement data to evaluate schools. The authors further discuss the potential practical applications of their models for superintendents, researchers, and policy makers. The premise of the study is that…

Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…

In this article, we examine the relations of value-added models of measuring academic achievement to student motivation. Using an achievement goal orientation theory perspective, we argue that value-added models, which focus on the progress of individual students over time, are more closely aligned with research on student motivation than are more…