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.…

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.…

The problem this study addressed was whether an intervention, grounded in Reading Recovery strategies, was as effective when used with struggling readers in small groups as it is in 1:1 instruction. The purpose of this causal-comparative study was to investigate the differences in student performance between students who received small group…

The purpose of the current study was to use a conceptual model to identify possible causal mechanisms at play in the phrase drill (PD) intervention. The study was carried out by isolating and investigating modeling and sentence repetition, which are two specific instructional components that are typically used in PD, by creating instructional…

Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time delays obscure co-variation relationships and complex interactions can result in non-deterministic relationships between causes and effects that are best…