R. Noah Padgett
About
R. Noah Padgett has authored 18 papers that have received a total of 78 indexed citations.
This includes 5 papers in Statistics and Probability, 4 papers in Management Science and Operations Research and 3 papers in Artificial Intelligence. The topics of these papers are Measurement Invariance in Structural Equation Modeling (4 papers), Advanced Statistical Modeling Techniques (3 papers) and Bayesian Methods and Mixture Models (3 papers). R. Noah Padgett is often cited by papers focused on Measurement Invariance in Structural Equation Modeling (4 papers), Advanced Statistical Modeling Techniques (3 papers) and Bayesian Methods and Mixture Models (3 papers) and collaborates with scholars based in United States, Russia and Czechia. R. Noah Padgett's co-authors include Grant B. Morgan, Richard G. Cowden, K. Leigh Greathouse, James R. White and Tyler J. VanderWeele and has published in prestigious journals such as Scientific Reports, Psychological Methods and The American Journal of the Medical Sciences
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