Jennifer Galindo, a researcher with the Collaborative Strategic Reading and Promoting Adolescents’ Comprehension of Text projects at MCPER and doctoral student in educational psychology with an emphasis in quantitative methods, will lead a brown bag presentation November 12 on hierarchical linear modeling (HLM). “Using HLM to Analyze Educational Data,” held from noon to 1 p.m. in the Pittenger Room (SZB 418), will draw upon information from a workshop hosted by Steve Raudenbush and Tony Bryk on HLM and the use of HLM 7 that Galindo attended. Galindo’s presentation will begin with a brief introduction to HLM and how the models are useful for analyzing educational data. Galindo will set up a model in HLM 7 and discuss the analysis and results. The discussion will continue with a demonstration of how HLM 7 can use multiple imputation to impute data when missingness is an issue. Also, Galindo will show a walkthrough of how to set up a cross-classified model in HLM 7.
