Winter 2023 GLEAN Learning Event: R- an Introduction for Assessment Practitioners

  • 24 Mar 2023
  • 1:00 PM - 3:30 PM
  • Zoom
  • 36

Registration

  • Please ensure you're logged into your IPAC account to access this registration type.

Registration is closed


Join Us for the Winter 2023 GLEAN Learning Event!

Rob Keating will present an informative webinar on R - an Introduction for Assessment Practitioners on March 24th, 2023 from 1-3:30 ET. This presentation is suitable for academics, practitioners, and students and is open to all.

Session Description:

Do you want to take your data analytical skills to the next level? Learn the basics of the R software package. This software is currently being taught in I-O graduate school curriculum across the U.S., but many current practitioners did not get the benefit of working with this software. This 2.5 hour interactive session will cover R basics, including an introduction to the R statistical computing environment, basic functions, and work through some common practical data management, analysis, and visualization techniques that assessment professionals typically conduct.

Learning Objectives:

  1. Know how to download and install R and R Studio
  2. Understand the R Studio interface and basic coding/functions (e.g., simple calculations, installing and loading data analysis packages)
  3. Develop skill in data management, including loading external data files and using the dplyr package to manipulate data frames (e.g., subsetting, merging, summarizing) 
  4. Develop skill in executing common statistical analyses, including computing descriptive statistics and inferential statistics (e.g.,  t-tests, ANOVA, correlation, multiple linear regression, and more)
  5. Develop skill in data visualization using the ggplot package to build histograms, scatterplots, bar graphs, etc. 

Attendees will also be provided resources for troubleshooting and continued learning in R.

About Rob Keating:

Rob Keating is an Assistant Teaching Professor in the Department of Psychology at Illinois Institute of Technology (IIT). He received his doctoral training (ABD) in industrial-organizational psychology with emphasis in social psychology and quantitative methods at Northern Illinois University. At IIT, he regularly teaches undergraduate and graduate statistics courses using R. Additionally, he has utilized the R environment for his own research in I-O psychology for the past seven years, including executing data frame management/manipulation, statistical analysis (e.g., ANOVA, regression, SEM, MLM), and data visualization techniques, as well as report generation using R Markdown. 

Powered by Wild Apricot Membership Software