This paper examines the scalability of the results from the Tennessee Student-Teacher Achievement Ratio (STAR) Project, a prominent educational experiment. We explore how the misalignment between the experimental design and the econometric model affects researchers' ability to learn about the intervention's scalability. We document heterogeneity…

We propose an innovative, effective, and data-agnostic method to train a deep-neural network model with an extremely small training dataset, called VELR (Voting-based Ensemble Learning with Rejection). In educational research and practice, providing valid labels for a sufficient amount of data to be used for supervised learning can be very costly…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

In the Spring of 2019, the Center for Education Policy Research at Harvard University launched the National Center for Rural Education Research Networks (NCRERN) with funding from the U.S. Department of Education's Institute of Education Sciences. This overview provides a step-by- step description of NCRERN's continuous improvement model. NCRERN's…

The Impact Agenda, introduced with Research Excellence Framework 2014 (REF), constituted a revolution in research evaluation in the UK. 'Research impact' (impact of scholarly work outside of academia) became one of three profiles under which research quality is evaluated. This shift in the British evaluation system was followed, and often…

Over the last twenty years, education researchers have increasingly conducted randomised experiments with the goal of informing the decisions of educators and policymakers. Such experiments have generally employed broad, consequential, standardised outcome measures in the hope that this would allow decisionmakers to compare effectiveness of…

This paper summarizes the trends in research about student experiences in out-of-school time (OST) in countries of Europe. The analysis is based on a review of the content of research papers published between 1999 and 2019 in about 36 European countries. OST is recognized as an important aspect of students' educational experiences that deserves…

This article is predicated on the idea that, by interacting with differences of various kinds, researchers in special education can obtain conclusions that are more nuanced, sophisticated, richer, and, hence, better than when they would have ignored such differences. Based on the application of existing research guidelines to 6 recent exemplars of…

Evidence is growing that the quality of teachers and teaching are significant factors in enhancing student learning, so research into teacher education could make a major contribution to preparing our future teachers. Post-compulsory teacher education research lacks recognition almost to the point of invisibility. Post-Compulsory Education (PCE)…

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…

Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies. The impact estimators are derived using the building blocks of experimental designs with minimal assumptions, and have good statistical properties. The methods apply to randomized controlled trials (RCTs) and…

A new design-based theory has recently been developed to estimate impacts for randomized controlled trials (RCTs) and basic quasi-experimental designs (QEDs) for a wide range of designs used in social policy research (Imbens & Rubin, 2015; Schochet, 2016). These methods use the potential outcomes framework and known features of study designs…

Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Imbens and Rubin, 2015; Schochet, 2015, 2016). The estimators are derived using the building blocks of experimental designs with minimal assumptions, and are unbiased and normally distributed in large samples…

Actuality of studied problem is due to constant modernization of teacher's professional development which depends on many factors and conditions aimed at identifying the reserve possibilities of professional qualified and competitive specialist. In this context, this article aims to develop structure the content of structural-functional model of…

In this final chapter, we summarize the lessons learned from working with six systems/consortia to enhance and expand undergraduate research. The theory of change model for systems/consortia differs in significant ways from the change processes exhibited by individual institutions, offering important insights for academic leaders as they seek to…