The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…

Reading is critical to success in college. Faculty members often decry students who come to class without reading, and unprepared for the lessons of the day. Yet, relatively little empirical research assesses how to best stimulate collegiate reading and what types of reading assessments provide the best student learning outcomes. This paper…

Randomized controlled trials have proliferated in education, in part because they provide an unbiased estimator for the causal impact of interventions. It is increasingly recognized that many such trials in education have low power to detect an effect if indeed there is one. However, it is less well known that low powered trials tend to…

Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and…

Using the Hartung-Knapp method and 95% prediction intervals (PIs) in random-effects meta-analyses is recommended by experts but rarely applied. Therefore, we aimed to reevaluate statistically significant meta-analyses using the Hartung-Knapp method and 95% PIs. In this methodological study, three databases were searched from January 2010 to July…

Sulforaphane has been reported to possibly improve core symptoms associated with autism spectrum disorders from mostly small size studies. Here we present results of a larger randomized clinical trial (N = 108) in China. There were no significant changes in caregiver rated scales between sulforaphane and placebo groups. However, clinician rated…

Although the use of the cluster randomized trial (CRT) design to evaluate vaccines, public health interventions or health systems is increasing, the ethical issues posed by the design are not adequately addressed, especially in low- and middle-income country settings (LMICs). To help reveal ethical challenges, qualitative interviews were conducted…

Underrepresentation of historically marginalized populations in clinical trials continues to threaten the validity of health intervention research. Evidence supports the merits of intercept and other proactive forms of recruitment for achieving more equitable representation. However, researchers also report lower retention and adherence to…

We describe an activity that introduces school-aged children to clinical trials, that presents the terminology associated with randomized controlled trials, and that reveals how the findings from clinical trials are applicable to everyone everywhere.

Online credit recovery will likely expand in the coming years as school districts try to address increased course failure rates brought on by the coronavirus pandemic. Some researchers and policymakers, however, raise concerns over how much students learn in online courses, and there is limited evidence about the effectiveness of online credit…

McKinney (2018) has argued that for the scholarship of teaching and learning (SoTL) to advance within a discipline, the integration of SoTL must be closely examined and opportunities for growth in SoTL must be recognized and discussed. To that end, this paper reflects on the degree to which SoTL is integrated into communication sciences and…

In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…

In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…

Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…

Randomized controlled trials (RCTs) are an increasingly common research design for evaluating the effectiveness of community college (CC) interventions. However, when planning an RCT evaluation of a CC intervention, there is limited empirical information about what sized effects an intervention might reasonably achieve, which can lead to under- or…