Reproducibility and Replicability in Monte Carlo Studies: Does Data Generation Algorithm Matter?

We argue that replication and reproducibility are as important in Monte Carlo studies as they are in empirical work with real data and offer the first such attempt in a statistical simulation. Replicating a seminal SEM paper, we demonstrate that different data generation algorithms may influence generalizability of study results.