If you’ve ever had to deal with missing data, you’ve probably wished you could avoid it completely in the future. So why on earth would anyone design a study where data are missing on purpose? When you set up a project, there are actually several advantages to selecting a subset of people to skip assessments, items, or waves on purpose. Jess and Sara describe those designs here, and just what the advantages are, as well as fun future directions for one specific subtype of these designs: The two-method measurement planned missingness design. Even though we start with a basic missing data overview, and you might think that missing data is scary or boring, we SWEAR this one is interesting. Links mentioned in this episode: The preprint on how to handle missing data decision tree: https://psyarxiv.com/mdw5r/ The paper that introduces the longitudinal version of the two method measurement design: https://doi.org/10.1177/0165025414542711 Menglin Xu and Jess’s paper in JREE: https://www.tandfonline.com/doi/pdf/10.1080/19345747.2021.1875528 Overview of different types of planning missing data designs in education research:  https://doi.org/10.1080/00461520.2016.1208094 Connect with the podcast on twitter @within_between, or email us letters about developmental science at [email protected]. More episodes and podcast information at WithinandBetweenPod.com. Follow Dr. Hart on twitter @Saraannhart Follow Dr. Logan on twitter @Jarlogan. Our theme music was composed by Jason Flowers. Our logo was created by Nathan Archer. Recorded November 16, 2021.