In Bayesian random-effects meta-analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are…

Bayesian methods seem a natural choice for combining sources of evidence in meta-analyses. However, in practice, their sensitivity to the choice of prior distribution is much less attractive, particularly for parameters describing heterogeneity. A recent non-Bayesian approach to fixed-effects meta-analysis provides novel ways to think about…

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…

Background: Network meta-analysis (NMA) of survival data with a multidimensional treatment effect has been introduced as an alternative to NMA based on the proportional hazards assumption. However, these flexible models have some limitations, such as the use of an approximate likelihood based on discrete hazards, rather than a likelihood for…

Contribution: This article describes how a peer learning strategy called student-led tutorials (SLTs) can improve student performance in an electromagnetism course (EM). This study provides empirical evidence on how promoting student active participation in collaborative problem-solving activities improves performance rates. Background: In 2019,…

Drawing inference from data is an important skill for students to understand their everyday life, so that the sampling distribution as a central topic in statistical inference is necessary to be learned by the students. However, little is known about how to teach the topic for high school students, especially in Indonesian context. Therefore, the…

In this article, we map the extent of educational inequality within Tasmania, and between Tasmania and the rest of Australia, using "National Assessment Program--Literacy and Numeracy" (NAPLAN) and senior secondary attainment data. This analysis yields some surprising findings, showing the success of Tasmanian primary and high schools…

Education research is a vast, multi-disciplinary field. In trying to understand it or make judgments about importance, influence, or where the action is, it can be helpful to see the big picture and not be swayed by where we happen to sit in the field. A map of education research derived from citation data can help us see the big picture.…

Color charts, or grids of evenly spaced multicolored dots or squares, appear in the work of modern artists and designers. Often the artist/designer distributes the many colors in a way that could be described as "random," that is, without an obvious pattern. We conduct a statistical analysis of 125 "random-looking" art and design color charts and…

Schools and neighborhoods are thought to be two of the most important contextual influences on student academic outcomes. Drawing on a unique data set that permits simultaneous estimation of neighborhood and school contributions to student test score gains, we analyze the distributions of these contributions to consider the relative importance of…

The continued accumulation of validity evidence for the intended uses of educational assessment scores is critical to ensure that inferences made using the scores are sound. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides updated…

Do schools reduce or perpetuate inequality by race and family income? Most studies conclude that schools play only a small role in explaining socioeconomic and racial disparities in educational outcomes, but they usually draw this conclusion based solely on test scores. We reconsider this finding using longitudinal data on test scores and…

We propose a new limited-information goodness of fit test statistic C[subscript 2] for ordinal IRT models. The construction of the new statistic lies formally between the M[subscript 2] statistic of Maydeu-Olivares and Joe (2006), which utilizes first and second order marginal probabilities, and the M*[subscript 2] statistic of Cai and Hansen…

Fourth graders whose silent word reading and/or sentence reading rate was, on average, two-thirds standard deviation below their oral reading of real and pseudowords and reading comprehension accuracy were randomly assigned to treatment ("n" = 7) or wait-listed ("n" = 7) control groups. Following nine sessions combining…

New Jersey has a curious status regarding school desegregation. It has had the nation's most venerable and strongest state law prohibiting racially segregated schooling and requiring racial balance in the schools whenever feasible. Yet, it simultaneously has had one of the worst records of racially imbalanced schools. Against the legal and…