Background: Despite the growing attention given to the political process of evidence-based policymaking (EBPM), we still know little about how evidence is processed at the early stages of the policymaking process, especially at the agenda-setting stage. Whether and when political elites pay attention to evidence-based information is crucial to the…

Although social work, as a profession, has increasingly emphasized the importance of evidence-based practice (EBP), social work students do not consistently learn to infuse EBP as a process in their daily practice, contributing to low EBP uptake in the field. Communicating evidence to clients is an ethical imperative for informed consent and a…

Prediction-based accounts of language acquisition have the potential to explain several different effects in child language acquisition and adult language processing. However, evidence regarding the developmental predictions of such accounts is mixed. Here, we consider several predictions of these accounts in two large-scale developmental studies…

Published studies of intervention effects probably report effect sizes that are larger than the true effect size. There are probably many reasons for this, but one can be thought of as a "winner's curse." In this essay, I discuss evidence from two recent studies that highlight how evidence clearinghouses might inadvertently expose…

Background: Education decision makers are increasingly expected to use evidence to inform their actions. However, the majority of educational interventions have not yet been studied and it is challenging to produce high quality research evidence quickly enough to influence policy questions. Aims and objectives: We set out to gather evidence on the…

Background: Government-funded knowledge brokering organisations (KBOs) are an increasingly prevalent yet under-researched area. Working in the space between knowledge and policy, yet framing themselves as different from think tanks and academic research centres, these organisations broker evidence into policy. Aims and objectives: This article…

Background The CLUSTER model of searching was proposed as a systematic method of searching for studies for reviews of complex interventions. Aim: The method has not been evaluated before. This methodological review identified and evaluated a sample of evidence syntheses that have used CLUSTER. Methods: A forward citation search on the seed CLUSTER…

Rapid reviews have been widely employed to support timely decision-making, and limiting the search date is the most popular approach in published rapid reviews. We assessed the accuracy and workload of search date limits on the meta-analytical results to determine the best rapid strategy. The meta-analyses data were collected from the Cochrane…

Replication provides a confrontation of psychological theory, not only in experimental research, but also in model-based research. Goodness-of-fit (GOF) of the original model to the replication data is routinely provided as meaningful evidence of replication. We demonstrate, however, that GOF obscures important differences between the original and…

Background: Despite literature recognising the huge potential of co-production as a positive approach to evidence creation, there is a dearth of evidence about how co-production principles can problematise knowledge exchange, specifically in evaluation work. Aims: To critically examine three evaluation projects commissioned by voluntary sector…

Students' evidence-based reasoning was examined across two studies. In Study 1, students were asked to evaluate newspaper excerpts including anecdotal, descriptive, correlational, and causal evidence provided in support of causal claims as well as to justify their quality ratings for two of these excerpts. In Study 2, students' justifications for…

Systematic reviews and meta-analyses aggregate research findings across studies and populations, making them a valuable form of research evidence. Over the past decade, studies in medical education using these methods have increased by 630%. However, many manuscripts are not publication-ready due to inadequate planning and insufficient analyses.…

Data extraction is a crucial, yet labor-intensive and error-prone part of evidence synthesis. To date, efforts to harness machine learning for enhancing efficiency of the data extraction process have fallen short of achieving sufficient accuracy and usability. With the release of large language models (LLMs), new possibilities have emerged to…

Purpose: Multisite mediation studies are a cornerstone in mapping out developmental processes because they probe the mechanisms of a treatment while creating key opportunities to learn from and about variation in those mechanisms across sites. Despite the prevalence of multisite studies, a significant gap in the literature is how to plan such…

We explore ways in which statistics can be used to understand disease spread and support decision-making by governments. "Past performance does not guarantee future results"--we hope. We discuss and show examples from the National Science Foundation (NSF)-funded COVID-Inspired Data Science Education through Epidemiology (CIDSEE) project.…