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Brian Flaherty is an Associate Professor in the Department of Psychology at the University of Washington. His research focuses on quantitative psychology, particularly on measurement, applied statistics, and understanding change over time. Flaherty’s work extensively involves latent variable models, psychometrics, and data analytic techniques to explore how measurement choices impact the interpretation of psychological constructs. He has authored and co-authored several publications examining various aspects of latent class analysis and measurement models, contributing to a deeper understanding of neurodevelopmental data and the implications of measurement practices in psychology. Flaherty teaches courses such as Introduction to Manifest Path Analysis, Exploratory Data Analysis, and Linear Models for Data Analysis, where he integrates practical statistical techniques with theoretical foundations. His interest in how statistical methods can drive scientific inquiry is evident in both his teaching and research endeavors.
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