In her work, Dr. Logan designs research studies and analyzes resulting data using wide-ranging statistical techniques to better understand children's cognitive development and illuminate its potential contributing factors. The goal of her research is to connect advanced statistical techniques such as latent, multilevel, and longitudunal modeling, emerging statistical techniques like latent class analysis and quantile regression, and emerging research designs such as fractional factorial experiments, to better understand early childhood development and its' sources of variance, including cognitive components and the environmental context. This work both reponds to the realities of early childhood education and seeks to intervene and reshape what we understand about how children learn. Her research agenda seeks to provide a better understanding of children's learning and inform best practoces in statistical methodology.