I need 6 CE hours before March and want something rigorous on advanced experimental design — preferably within-subjects counterbalancing, power analysis for clustered RCTs, and reproducible workflows in R. Has anyone taken a synchronous course that runs sample size computations (e.g., PANGEA or simr) and critically evaluates internal validity threats using real datasets rather than slideware?
I took Curran-Bauer Analytics’ live ‘Power Analysis for Multilevel and Longitudinal Models’ (https://www.curranbauer.org) and left able to script a simr-based power calc for a clustered RCT and sanity-check with PANGEA; they use real datasets, critique internal-validity threats, and offer APA CE. Caveat: counterbalancing and R reproducibility get lighter treatment — pair it with a targets+renv workflow; not quite time travel, but your future self will thank you.
@juliafrank98 +1 — Statistical Horizons’ live ‘Experimental Design’ (≈6 hours) covered within-subjects counterbalancing and simr; CE certs, no PANGEA…