The application of network meta-analysis is becoming increasingly widespread, and for a successful implementation, it requires that the direct comparison result and the indirect comparison result should be consistent. Because of this, a proper detection of inconsistency is often a key issue in network meta-analysis as whether the results can be…

Measures of learning speed (i.e., the amount of learning/cumulative time learner spends engaged in an intervention) are rarely included in research designed to evaluate and compare academic interventions. We build a case that includes analyses of learning speed metrics in academic intervention research can provide more useful information for…

The synthetic control method (SCM) is a popular approach for estimating the impact of a treatment on a single unit with panel data. Two challenges arise with higher frequency data (e.g., monthly versus yearly): (1) achieving excellent pre-treatment fit is typically more challenging; and (2) overfitting to noise is more likely. Aggregating data…

This paper argues for three aspects of tolerance with respect to QCA research: tolerance with respect to different approaches to QCA; producing QCA research with tolerance (work that is resistant to criticism); and for QCA researchers to be clear about the tolerance of the solutions they present -- especially in terms of calibration and truth…

Network meta-analysis (NMA) incorporates all available evidence into a general statistical framework for comparing multiple treatments. Standard NMAs make three major assumptions, namely homogeneity, similarity, and consistency, and violating these assumptions threatens an NMA's validity. In this article, we suggest a graphical approach to…

Researchers often have hypotheses concerning the state of affairs in the population from which they sampled their data to compare group means. The classical frequentist approach provides one way of carrying out hypothesis testing using ANOVA to state the null hypothesis that there is no difference in the means and proceed with multiple comparisons…

CIPP, which stands for Context, Input, Process and Product, an evaluation model, is one of the most widely applied curriculum evaluation models in education. This document-based study sought to determine the historical development of CIPP as a curriculum evaluation model. Here, the reasons why the CIPP evaluation model was conceptualised are…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

Comparative judgment is gaining popularity as an assessment tool, including for high-stakes testing purposes, despite relatively little research on the use of the technique. Advocates claim two main rationales for its use: that comparative judgment is valid because humans are better at comparative than absolute judgment, and because it distils the…

In this paper we explore the concept of the middle tier in education systems, outlining how it is a crucial element that links high-level education policy to the practices that are carried out in schools. Reflecting on the similarities and differences in the profiles of the middle tiers of the four nations of the United Kingdom (UK), we observe…

In common sociological research, income inequality is measured only at the aggregate level. The main purpose of this article is to demonstrate that there is more than meets the eye when inequality is indicated by a single measure. In this article, I introduce an alternative method that evaluates individuals' contributions to inequality as well as…

This article explores the German discourse of Early Childhood Education and Care (ECEC) as it has emerged and changed over time. The conceptual elements of the triad of care, child raising and education ("Betreuung," "Erziehung" und "Bildung") are described and illustrated by salient points in the development of…

Historically, colleges have used standardized testing to determine whether a student is ready for college-level work or requires developmental courses first, but this method has been criticized as inaccurate. To obtain more accurate placements, nearly three-quarters of colleges now use multiple measures assessment (MMA) systems. These systems…

University rankings have a growing impact on how people view the academic excellence of higher education. The complicated relationship between rankings and academic excellence is explored in this essay along with how it may affect higher education policy and practice. The importance of rankings and their influence on institutional decision-making…

University rankings have become commonplace in higher education. Traditional quantified rankings do not merely measure educational performance: they equally grant status, enforce competition between institutions, and are emblematic for the ongoing capitalization of higher education. Drawing on the field of Science and Technology Studies, this…