Slides for Demonstration Session 548 (AEA 2013), Friday, 10/18, 1:45-2:30 pm, Columbia 1. Abstract: Frequently in evaluation settings we encounter situations where participants belong to multiple clusters (e.g., schools or classrooms) over the course of study. Student mobility between schools has a negative relationship with academic performance and thus may confound evaluation findings. The importance of using appropriate modeling strategies in these situations has been demonstrated in the research literature (Grady & Beretvas, 2010; Luo & Kwok, 2012). This demonstration explains the concepts of multiple membership and cross-classification and demonstrates the use of a multilevel modeling software package (MLwiN) to account for these data structures in analyzing repeated measures data. Some familiarity with multi-level modeling is assumed.#Cluster,Multi-SiteandMulti-LevelEval #multiplemembership #HowTo #MultilevelModeling #studentmobility #Prek-12EducationalEvaluation #2013Conference #crossclassification #QuantitativeMethods-TheoryandDesign #MLwiN