Virtual Research Roundtable: Quantitative 101 Methods in Evaluation of CPD
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Event Details
Overview
Much of the data we collect on learners participating in our CPD interventions is qualitative. However, proving the true clinical value of our education necessitates sound quantitative analysis. Due to the incomplete, often messy structure of evaluation and clinical datasets, statistics are often conducted blindly or based on gut feelings. This presentation aims to introduce the importance of quantitative analysis in revealing critical insights into CPD effectiveness. An overview of data types, data cleaning, and analysis methods will be provided. Pitfalls such as ceiling effects, incomplete data, and confounding will also be discussed. Particular topics include how to handle Likert data, imputation and analysis of unusual data, and basic statistical methods.
Speaker
Brian Tomczyk
Brian Tomczyk serves as the data analyst for the Office of Continuing Professional Development at the Medical College of Wisconsin (MCW). With his extensive experience across the data lifecycle, Brian has contributed statistical and data-driven insights to numerous research projects during his three-year tenure. He emphasizes the importance of translating complex statistical methodologies into clear, meaningful takeaways. As an aspiring biostatistician, he is currently completing his M.A. in Data Science & Biostatistics at MCW, which he is due to complete by the end of this year.
Moderators
Anahit Abrahamyan, MPC, University of Mississippi Medical Center
Ashley Walker, Louisiana State University Health