I am an incoming Lecturer of Social Data Science and Psychology at the University of Maryland. I have a Ph.D. in Quantitative Psychology and Master of Applied Statistics from The Ohio State University. In the classroom, I use active learning techniques to make learning statistics practical and fun. I am interested in mediation (and its application to dyadic data), moderation, conditional process analysis, resampling methods, and power analysis. My main research aims are to make advancements in quantitative methodology and make these advancements available to other researchers through software development (e.g., macros, R packages). Feel free to browse my work and email me with any questions about my macros or about consultation/workshops.

Recent and Upcoming Work

Workshop: Introduction to mediation, moderation, and conditional process analysis
Association for Psychological Science (APS) Annual Conference
Date: 25 May 2023

Paper: Questions of value, questions of magnitude: An exploration and application of methods for comparing indirect effects in multiple mediator models
Behavior Research Methods
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Chapter: R
The SAGE Encyclopedia of Research Design
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Thesis: Contrasting contrasts in multiple mediator models
Ohio Link
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Blog: Accessible Accessibility
The Noba Project
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Paper: Use omega rather than Cronbach’s alpha for estimating reliability. But…
Communication Methods and Measures
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Paper: Easy statistical mediation with distinguishable dyadic data
Journal of Communication
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