Workshops for Spring Quarter, 2019
Introduction to ggplot2, Thursday, April 18 from 9 a.m. to 12 noon in Math Sciences 5628 (the IDRE Visualization Portal)
Description: The ggplot2 package is a widely-used and well-supported system for creating eye-catching graphics in R. In this interactive seminar, you will learn the underlying grammar of graphics that forms the philosophical framework of ggplot2, giving you the power to create publication-quality figures intuitively. The workshop is interactive, in which attendees are encouraged to participate in R coding to create their own statistical graphics.
- The notes for the workshop are here.
- The sign-up link is here.
- This workshop will be hands-on, so participants should bring their own laptop with R installed. If you do not have a laptop, please borrow one from the library before coming to the workshop.
- There will be no online component to this workshop. Please do not sign up for this workshop if you are unable to attend in person.
Decomposing Interactions in R, Thursday, April 25 from 9 a.m. to 12 noon in Math Sciences 5628 (the IDRE Visualization Portal)
Description: In regression, we are often interested in an interaction, which is the modification of the effect of an independent variable by another. Interactions can be decomposed in three ways, by 1) testing each effect against zero, 2) testing differences among effects, and 3) graphing. This workshop will demonstrate how to do all three analyses in R for the following interaction models: continuous-by-continuous, categorical-by-continuous, and categorical-by-categorical. Some hands-on exercises will be presented. Some knowledge of linear regression is recommended.
- The notes for the workshop are here.
- The sign-up link is here.
- This workshop will be hands-on, so participants should bring their own laptop with R installed. If you do not have a laptop, please borrow one from the library before coming to the workshop.
- There will be no online component to this workshop. Please do not sign up for this workshop if you are unable to attend in person.
Logistic Regression in Stata, Thursday, May 2, from 9 a.m. to 12 noon in Math Sciences 5628 (the IDRE Visualization Portal)
Description: This workshop will help increase your skills in using logistic regression analysis with Stata. The workshop does not teach logistic regression, per se, but focuses on how to perform logistic regression analyses and interpret the results using Stata. It is assumed that you have some familiarity with both logistic regression and Stata.
- The notes for the workshop are here.
- The sign-up link is here.
- This workshop will be lecture-style with no hands-on component.
- This workshop will have an online component, so you may sign up for this workshop even if you cannot attend in person. Information regarding the online component will be sent out the day before the workshop is presented.
Multiple Imputation in Stata, Thursday, May 9, from 9 a.m. to 12 noon in Math Sciences 5628 (the IDRE Visualization Portal)
Description: The purpose of this workshop is to discuss commonly used techniques for handling missing data and common issues that could arise when these techniques are used. In particular, we will focus on the one of the most popular methods, multiple imputation and how to perform it in Stata. The Stata code for this seminar is developed using Stata 15.
- The notes for the workshop are here.
- The sign-up link is here.
- This workshop will be lecture-style with no hands-on component.
- There will be no online component to this workshop. Please do not sign up for this workshop if you are unable to attend in person.
Past Classes and Workshops Available Online
- Introduction to Stata 15
- Stata Data Management
- Regression with Stata
- Logistic Regression with Stata
- Beyond Binary Logistic Regression with Stata
- Multiple Imputation in Stata 14
- Introduction to Survey Data Analysis
- Applied Survey Data Analysis
- Survival Analysis Using Stata
- Introduction to Meta-analysis using Stata
- Introduction to Programming in Stata
- Introduction to SAS 9.4
- Programming Basics in SAS 9.4
- Analyzing and Visualizing Interactions in SAS 9.4
- Regression with SAS
- Logistic Regression in SAS
- Repeated Measures Analysis in SAS
- Applied Survey Data Analysis using SAS 9.4
- Multiple Imputation in SAS 9.4
- Survival Analysis Using SAS
- Using Arrays in SAS
- Introduction to SAS Macro Language
- Introduction to SPSS (point-and-click and syntax)
- Introduction to SPSS Syntax, Part1 (using SPSS version 21)
- Introduction to SPSS Syntax, Part 2 (using SPSS version 21)
- Regression with SPSS
- Introduction to Regression with SPSS (Version 23)
- Principal Components (PCA) and Exploratory Factor Analysis (EFA) with SPSS
- A Practical Introduction to Factor Analysis
- Repeated Measures Analysis in SPSS
- Using the SPSS Mixed Command
- Graphics using SPSS
Mplus and Latent Variable Analysis
- Introduction to R
- R Markdown Basics
- Introduction to ggplot2
- R Data Management
- Repeated Measures Analysis in R
- Introduction to Regression in R
- Probing and Decomposing Interactions in R
Longitudinal Data Analysis
- Longitudinal Research: Present Status and Future Prospects by Judith Singer & John Willett
- Analyzing Longitudinal Data using Multilevel Modeling
Power Analysis
- Deciphering Interactions in Logistic Regression
- Regression Models with Count Data
- Statistical Writing
Other