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.

Traditionally, cluster randomized controlled trials are analyzed with the average intervention effect of interest. However, in populations that contain higher degrees of heterogeneity or variation may differ across different values of a covariate, which may not be optimal. Within education and social science contexts, exploring the variation in…

We present findings across three randomized trials of "Descubriendo la Lectura" (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to a school's lowest performing emerging bilingual first…

By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…

Background: Evidence-based interventions are essential for school-aged children with intellectual disabilities to facilitate development and promote future independence. Methods: Using a PRISMA approach, systematic screening of five databases was undertaken. Original randomised controlled studies with psychosocial-behavioural interventions were…

Background: Physical activity (PA) may benefit academic performance, but it is unclear what kind of classroom-based PA is optimal for learning. Aim: We studied the effects of physically active maths lessons on children's maths performance and maths-related effects, and whether gender and previous mathematical or motor skills modify these effects.…

Online citizen science allows us to bridge the gap between researchers and nonresearchers and to improve the scientific literacy of nonresearchers. The aims of the present study were: (1) to determine whether a 5-week randomized control trial conducted by teachers in their classroom could improve 7- to 12-year-old children's inhibitory control…

Narration has been shown to be a foundational skill for literacy development in school-age children. Elementary teachers routinely conduct classroom lessons that focus on reading decoding and comprehension, but they rarely provide instruction in oral narration (Hall et al., 2021). This multisite randomized controlled trial was designed to…

Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…

Narration has been shown to be a foundational skill for literacy development in school-age children. Elementary teachers routinely conduct classroom lessons that focus on reading decoding and comprehension, but they rarely provide instruction in oral narration (Hall et al., 2021). This multisite randomized controlled trial was designed to…

This paper describes a 12-week cluster randomized controlled trial that examined the efficacy of BookNook, a virtual tutoring platform focused on reading. Cohorts of first- through fourth-grade students attending six Rocketship public charter schools in Northern California were randomly assigned within grades to receive BookNook. Intent-to-Treat…

The present study reports findings from a school-level randomized controlled trial (RCT) of the Double Check cultural responsivity and student engagement model. Consistent with the focus of this special issue on the conceptual and methodological advances for understanding contextual, identity, and cultural effects in intervention research, we…

Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…

Longitudinal models of individual growth typically emphasize between-person predictors of change but ignore how growth may vary "within" persons because each person contributes only one point at each time to the model. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift…

Longitudinal models typically emphasize between-person predictors of change but ignore how growth varies "within" persons because each person contributes only one data point at each time. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift over time. While traditionally…