Scott Monroe

Monroe
Scott Monroe

My research focuses on the development of statistical methods for analyzing educational and psychological test and survey data. In general, I am interested in latent variable modeling, and making inferences about unobserved constructs (e.g., mathematics achievement, anxiety). Such methodology is utilized, for example, by large-scale educational assessments, such as the Programme for International Student Assessment (PISA). In particular, my research concerns the development of methods to support inference, such as goodness-of-fit statistics for model evaluation, and standard errors for characterizing estimation uncertainty. Such tools can help applied social science researchers assess how strongly their substantive theories are supported by a statistical model.