Lisa M. Yarnell is a research scientist/applied statistician at AIR. She received her Ph.D. in educational psychology from The University of Texas at Austin, specializing in applied statistical modeling and human development. In her doctoral studies, Dr. Yarnell trained in several subfields of statistics including structural equation modeling (SEM), hierarchical linear modeling (HLM), econometrics, and population research methods, as well as professional statistical consulting. Her dissertation focused on the relationships between components of SES and health, as mediated through psychosocial mediators, using SEM. In her postdoctoral work at the University of Southern California, she trained in the use of advanced SEM to study alcoholism, including in genetic (twin) analyses, IRT, measurement modeling, and multilevel structural equation modeling.
At AIR, Dr. Yarnell applies these skills to review and research of NAEP data. In her first year at AIR, Dr. Yarnell was a key analyst for a research study on the creation of “teacher weights” for NAEP data, and led the application of these weights in multilevel structural equation models predicting student achievement. Dr. Yarnell has been the principal analyst for 16 of her 18 published journal articles and book chapters. She additionally serves as a professional reviewer for eight journals from the fields of psychology and public health; and has worked as a professional statistical consultant.