When designing a study for causal mediation analysis, it is crucial to conduct a power
analysis to determine the sample size required to detect the causal mediation effects with …

We are living in exciting times. The movement called Open Science is visible everywhere, all
the way from the use of materials, the design of new research, data collection, data analysis …

In this study, we replicate and extend prior work that investigates the extent to which content-
specific and non-content-specific measures of instruction mediate the relationships between …

This study systematically reviews randomly selected 155 experimental studies in education
field originated in the Republic of Turkey between 2010 and 2020. Indiscriminate choice of …

Researchers are often interested in whether the effects of an intervention differ conditional
on individual-or group-moderator variables such as children's characteristics (eg, gender) …

Maximum likelihood estimation of multilevel structural equation model (MLSEM) parameters
is a preferred approach to probe theories involving latent variables in multilevel settings …

Sample size determination in multilevel randomized trials (MRTs) and multilevel regression
discontinuity designs (MRDDs) can be complicated due to multilevel structure, monetary …

Analysis of the differential treatment effects across targeted subgroups and contexts is a
critical objective in many evaluations because it delineates for whom and under what …

Mediation analyses have provided a critical platform to assess the validity of theories of
action across a wide range of disciplines. Despite widespread interest and development in …

Cluster randomized trials (CRTs) are commonly used to evaluate the causal effects of
educational interventions, where the entire clusters (eg, schools) are randomly assigned to …