I am associate professor at the University of Amsterdam, and I am interested in structural equation modeling (SEM) in general, and specifically in combination with measurement invariance, multilevel data, or meta-analysis (MASEM). MASEM combines the most informative data with a technique that is so versatile that many other methods can come to be viewed as a form of SEM. Together with several researchers forming the MASEM lab, I aim to make the technique better known and more user friendly for researchers, and to develop new MASEM methods where needed. This has led to several publications on new methods, as well as tutorial articles, Shiny applications, and an instructive book (second edition forthcoming). My research was funded by prestigious VENI (2016) and VIDI (2020) awards from the Dutch Research Council.

My email: S.Jak[at]uva.nl