Fall & Spring: Quantitative Methods Workshops
The Statistical Consulting Studio holds several workshops each during fall and spring semesters. The topics are chosen to benefit a broad range of researchers with various backgrounds. While these classes are free for all faculty and students in the Emma Eccles Jones College of Education and Human Services, space is limited. Please register early to ensure a seat.
If you would like to receive periodic emails announcing new sessions and links to register, Subscribe to the Workshop LIstServe.
Materials for past workshops may be accessed on Open Science Framework.
Quantitative Topics Workshop Series
This is an excellent opportunity to expand your analysis toolbox, for faculty and graduate students alike. This workshop series will cover some material not usually found in the traditional quantitative courses, but that have broad application within our college.
You will be introduced to newer methods that you may encounter in journals or find to be applicable within your own research. The main focus will be on foundational concepts with some direct application (minor software), but will not reach the depth or breadth of a full class.
Video conferencing through ZOOM will be available for distance attendance.
NEW format starting Fall 2019
Starting this fall there will be 2 options for participation:
Option A: RSVP a’ la cart Only option in the past
Sign up for any single day(s) with EventBrite
- No cost
- No credit
- No requirements
Option B: Register for the Full Seven-Weeks New
Register for the entire semester at this registration site
- $30/semester fee (no traditional USU tuition/fees)
- Earn 1 Continuing Education Unit (CEU) on your transcript
- Requirements: attend 5+ of the 7 days and a small project
Fall 2019: "Extensions to Regression"
A detailed schedule will be posted here by the end of the summer. There will be a total of 7 meetings on Mondays, noon-1:00 pm, starting September 3, 2019. Topics will include:
- Review Regression o Regular and Logistic (GLM)
- How-to: Tables & Figures
- Time-to-Event / Survival Analysis
- KM Plots (bivariate)
- Cox Regression (multivariate)
- Regularized Regression
- Ridge & LASSO
- Intro to Multilevel Models
- MLM, HLM, GEE
Spring 2020: "Common Design Issues"
A detailed schedule will be posted here by the end of 2019.
- Effect Size & Power Analysis
- Propensity Score Matching
- Missing Data Techniques