March 2026 Intro to Statistics in R Workshop
UConn SCS is excited to announce our March 2026 in-person Intro to Statistics in R workshop! This workshop introduces participants to a modern approach to statistical analysis that emphasizes estimation over traditional null hypothesis significance testing (NHST). It begins by covering some basics of R programming, and then onto addressing common issues in research practices, such as bias, selective analysis, and poor replication, and advocates for a shift toward effect sizes, confidence intervals, and meta-analysis to improve research integrity and transparency. Participants learn the fundamentals of p-values, confidence intervals, and effect sizes, including practical tools like Cohen’s d. The workshop presents strategies for implementing the “new statistics” approach, highlighting its benefits while acknowledging challenges like transitioning away from entrenched NHST practices. No prior R experience required! The course will be co-taught by UConn SCS consultants Timothy E. Moore, Ph.D. and Eric Bae, Ph.D.
Link to register: https://researchresources.center.uconn.edu/workshop/spring2026scs/
When: 9.00am to 5.00pm, Wednesday March 18, 2026, through Thursday March 19, 2026. (Note: This is a 2-Day Workshop)
Where: UConn Storrs Campus, Room TBD
Cost: $150 per person (Internal UConn rate, subject to change, inquire regarding external academic rates if applicable)
What I will learn: The full agenda will be announced in the coming weeks, but intended topics to be covered will include
- Basic Coding
- Data Manipulation (dplyr & tidyr)
- Visualization
- NHST vs Estimation & Uncertainty Quantification
- p-values and Confidence intervals
- Comparing means (t-test and ANOVA)
- Multiple Regression
- Marginal Effects
Admission to the workshop will be strictly limited to 50 participants due to space restrictions. Following successful registration, you will receive a confirmation email.
About the SCS
The UConn's Statistical Consulting Services (SCS) provides advice on statistical problems arising in the preparation of studies, the analysis of data, and the interpretation of results. It provides a center for discussion on research problems and methodological advances in statistics and probability. Walk-in online consultation is available with no charge, whereas collaborative consulting and assistance with data analysis through SCS requires funding for the statistical consultant on an hourly basis.
For more information, contact: Timothy E. Moore, Ph.D. at timothy.e.moore@uconn.edu