As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…

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…

How can we close opportunity gaps for young children affected by poverty and systemic racism--and build hope and resilience for children and their families? Research points the way forward, and in this timely volume, 40+ leading researchers identify new approaches, insights, and technologies that can promote educational equity and improve outcomes…

Divided into two volumes, "Handbook of Special Education Research" provides a comprehensive overview of critical issues in special education research. This first volume addresses key topics in theory, methods, and development, exploring how these three domains interconnect to build effective special education research. Each chapter…

An opportunistic experiment is a type of randomized controlled trial that studies the effects of a planned intervention or policy change with minimal added disruption and cost. This guide defines opportunistic experiments and provides examples, discusses issues to consider when identifying potential opportunistic experiments, and outlines the…

Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…

This guide is designed to help researchers make sure that their research reports include enough information about study measures so that readers can assess the quality of the study's methods and results. The guide also provides examples of write-ups about measures and suggests resources for learning more about these topics. The guide assumes…

The goal of this paper is to provide guidance for applied education researchers in using multi-level data to study the effects of interventions implemented at the school level. Two primary approaches are currently employed in observational studies of the effect of school-level interventions. One approach employs intact school matching: matching…

This brief is part of a series that explores key implementation considerations. It focuses on the importance of identifying, operationalizing, and implementing the "core components" of evidence-based and evidence-informed interventions that likely are critical to producing positive outcomes. The brief offers a definition of "core components",…

This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…

This bestselling work provides practitioners with a complete guide to implementing response to intervention (RTI) in schools. The authors are leading experts who explain the main components of RTI--high-quality instruction, frequent assessment, and data-based decision making--and show how to use it to foster positive academic and behavioral…

One can distinguish statistical models used in causal modeling from the causal interpretations that align them with substantive hypotheses. Causal modeling typically assumes an efficient causal interpretation of the statistical model. Causal modeling can also make use of mereological causal interpretations in which the state of the parts…

This Guide is an annotated bibliography of existing large scale data sets that provide useful information to policymakers, researchers, state administrators, and others in the field of child care and early education. The Guide follows an ecological approach to research and policy in the field: it brings attention not only to children themselves,…

The article reviews the ways in which norm-referenced developmental age (DA) and developmental quotient (DQ) evaluation data are currently reported in preschool early intervention program evaluation studies. The concept of intervention DQ in contrast with pretest DQ is proposed as a more meaningful way to report evaluation data. (Author/DB)

This document contains three papers concerned with prevention intervention research, a new area of depression research which has shown great promise for contributing new knowledge to the understanding of depression. The first paper, "Clinical Trials vs. Prevention Trials: Methodological Issues in Depression Research" (Ricardo F. Munoz), emphasizes…