Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…

School psychology has heavily relied on quantitative methodology to create and sustain our knowledge of best practices regarding academic, behavioral, and mental health outcomes for students. Nevertheless, underlying assumptions of the neutrality of quantitative data have obfuscated how school psychology research has perpetuated oppressive…

We present a classroom-ready activity for high school or college students involving an investigation of a rich, multivariate data set concerning educational and demographic characteristics of K-12 schools at the state level in the United States. The data set includes educational characteristics such as per-pupil revenue and graduation rate along…

Although collecting data from multiple informants is highly recommended, methods to model the congruence and incongruence between informants are limited. Bauer and colleagues suggested the trifactor model that decomposes the variances into common factor, informant perspective factors, and item-specific factors. This study extends their work to the…

Students encounter difficulties when entering into the fog of historical analysis, a place where evidence rarely lines up neatly and contradictions abound. Too often, novices conveniently ignore any sort of counterevidence that could muddy a clean explanation, thus reverting to safe truisms that sidestep key problems. Meanwhile, professional…

One crucial function of a classroom, and a school more generally, is to prepare students for future learning. Students should have the capacity to learn new information and to acquire new skills. This ability to "learn" is a core competency in our rapidly changing world. But how do we measure ability to learn? And how can we measure how…

Low rates of student persistence and degree completion are a major concern of colleges and universities across the United States. It is therefore important for higher education researchers, policymakers, and practitioners to better understand how to maximize the success of higher education's increasingly diverse undergraduate populations. This…

"The Expanded Success Initiative: Challenges and Progress in the Pursuit of College and Career Readiness for Black and Latino Young Men" synthesizes findings from the Research Alliance's four-year evaluation of Expanded Success Initiative (ESI). This report, draws on hundreds of interviews and focus groups with ESI school leaders,…

At both the undergraduate and graduate level, an increasing number of students are completing their coursework online or in hybrid formats. As online learning grows and evolves, and new teaching tools emerge, it is useful to review approaches for effective teaching in this modality. This paper focuses, in particular, on proven tools in online…

Educational institutions abruptly implemented online higher education to cope with sanitary distance restrictions in 2020, causing an increment in student failure. This negative impact attracts the analyses of online higher education as a critical issue for educational systems. The early identification of students at risk is a strategy to cope…

Periodically, articles reporting research on student ratings of instruction (SRI), aka student evaluations of teaching, appear in the higher-education press. This literature often summarizes studies that challenge the validity and reliability of SRI. However, before drawing a conclusion about a quantitative study touted in the media, readers…

In this article, we argue that the contributions of documentation studies can provide a useful framework for analyzing the datafication of students due to emerging learning analytics (LA) practices. Specifically, the concepts of individuals being 'made into' data and how that data is 'considered as' can help to frame vital questions concerning the…

This article reports the analysis of data from five different studies to identify predictors of preservice, early childhood teachers' views of (a) the nature of coding, (b) integration of coding into preschool classrooms, and (c) relation of coding to fields other than computer science (CS). Significant changes in views of coding were predicted by…

Improving the interest of high-school students towards chemistry (and science in general) is one of the goals of the Italian Ministry of Education. To this aim, we designed a context-based activity that actively involved students in six different laboratory experiences interconnected by a case study of the murder of Miss Scarlet, from the famous…

School inspections are a common feature of many education systems. These may be informed by quantitative background data about schools. It is recognised that there are pros and cons of using such quantitative information as part of the inspection process, though these have rarely been succinctly set out. This paper seeks to fill this gap by…