About
Who are we?
Our team is led by two implementation scientists (Dr. Nate Williams and Dr. Rinad Beidas) and statistician (Dr. Steve Marcus). As NIMH-funded investigators, our team understands the challenges of multilevel power analysis in implementation science and has the expertise needed to create an open resource that benefits the entire implementation research community.
Who do we seek participation from?
After screening abstracts for all NIMH-funded implementation studies in NIH RePORTER, we identified projecs likely to contain information essential to our investigation.
What do we ask of our participanting researchers?
From your funded grant, our team has identified one published report or RePORTER abstract from which we are seeking design parameter information related to three key statistics: intraclass correlation coefficient (ICC), effect size (d), and covariate R2.
Do we reanalyze the results of studies?
No. We are not replicating the results of original studies. We are seeking additional design parameter information that was not available in the published report or grant abstracts.
Will design parameters be linked to their original project or publication?
No. Only pooled estimates of central tendency, dispersion, and range will be presented in all reports and presentations. Anypredictive model we develop will rely on pooled meta-analytic estimates.