This special issue focuses on the methodological innovations for advancing early childhood educational and psychological research. The issue offers a series of articles that when taken as a whole offer tutorials for early education researchers interested in providing updated and innovative approaches to analyzing early childhood data. Readers can find articles on the Bayes Factor, multilevel modeling and nested data, and more.