Statistical Consulting Services (SCS)

Spring 2026 SCS

March 18, 2026 9:00 am

UConn SCS is excited to announce our spring 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.

When: 9.00am to 5.00pm, Wednesday March 18, 2026 through Thursday March 19, 2026

Where: UConn Storrs Campus

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.