I am a Quantitative Psychologist whose research is motivated by promoting sound methodological practice in the social and behavioral sciences. Uncertainty is ever-present in all stages of the conduct of science: designing empirical studies, collecting data, analyzing data, and communicating conclusions. My primary research focuses on quantifying and addressing uncertainty in all aspects of this scientific process, where I develop and evaluate methodologies for quantifying uncertainties in power analysis, quantifying undue influence on unusual cases in data, quantifying sampling variability in statistical results, and quantifying aspects of model misfit. I typically work with latent variable models such as factor analysis (FA), structural equation models (SEM), structural equation mixture models (SEMM), multilevel models (MLM), latent growth curve models (LGM), and item response theory models (IRTM). A secondary and complementary research focus is to bridge gaps between methodological developments and their application by substantive (i.e., non-methods) researchers. Here, I have developed graphical utilities, software implements of advanced statistical approaches, and didactic outputs to enhance the application quantitative methodologies in the conduct of science.