R for Social Scientists

A 5-week workshop series taught by Keith Welker, PhD.


R is becoming increasingly popular for use in the social sciences and is a critical skill in both academic and industry for research and data analysis. Designed for established and in-training social scientists relatively knowledgeable in statistical methods, this 5-week workshop series provides an introduction to using R for statistical analyses in the social sciences. This kind of workshop is ideal for graduate students, post-docs, and faculty in the social sciences who have an introduction to the statistics learned typically in the first year of graduate school (e.g., linear regression, basic multivariate statistics).


By the end of this course, attendees will be able to do the following in R, using R Studio:

  • Perform basic data operations such as reading in data, transformations, and recoding

  • Perform and conduct visualizations related to basic analyses such as t-test, correlations, and chi-square analyses

  • Estimate descriptive statistics and effect sizes

  • Conduct reliability analysis, principal components analysis, and score scale data

  • Perform advanced statistical analyses such as multiple linear regressions, ANCOVA, MANOVA, and logistic regression

  • Conduct moderation and mediation, as well as visualize these relationships

  • Learn advanced data visualization techniques using the ggplot2 package

  • Tailor R to be used for the specific work they do


Course Details and Features

This 5-week remote workshop includes access to all course materials, R Code, recorded Zoom meetings, and approximately 30 hours of interacting with the instructor and other attendees. Compared to many other often shorter workshops and webinars available to learn R, the cost of this course is kept relatively low, while providing an expansive introduction to R. The pricing and features for the workshop are in the table on the next page. The workshop needs a minimum of 10 participants to run, but if higher numbers of participants are reached, more features and lower prices will be available for all participants.

The workshop hours will be tentatively held from 1:30pm-3:30pm MT on Mondays, Wednesdays, and Fridays (3:30-5:30pm ET, 2:30-4:30pm CT, 12:30pm-2:30pm PT) between the dates of July 13th and August 14th. However, for those that cannot make these times, all workshops will be recorded and available for viewing online for those signed up for the workshop. If more than 40 participants sign up, Keith will hold two sessions for each workshop to grant more flexibility in accessing the meetings.


During the synchronous workshop meetings, students can ask questions of Keith on data operations in R. This workshop is very hands-on and participants are encouraged to write code along with Keith. In addition to recorded lectures, participants will have access to slide decks, example datasets, and other potential features.

Workshop Series Outline

  • Overview and Introduction to using R

    • Basic data structures and programming principles

    • Importing and exporting data

  • Basic Data Operations and Descriptive Statistics

    • Data manipulation, transformations, and recoding

    • Descriptive statistics, frequencies, and crosstabulation

    • Basic data visualizations

  • T-tests and Effect Sizes

    • 1-sample, 2-sample, and paired t-tests

    • Effect sizes and confidence intervals for T-tests

  • ANOVA (between-subjects)

    • 1-way and 2-way between-subjects ANOVA

    • Post-hoc tests and pairwise comparisons

    • Effect sizes for ANOVA

  • Correlations

    • Correlation matrices and inferential tests

    • Partial and semipartial correlations

    • Visualizing correlation matrices

  • Data visualization with ggplot2

    • Commonly used types of plots used in ggplot2

    • Manipulating colors, shapes, size, facets, and other aesthetic characteristics

    • Formatting and themes

    • Other packages expanding upon ggplot2

  • Intermediate data operations:

    • Missing data

    • Merging and reshaping data

  • Psychometrics

    • Scoring surveys and scales

    • Reliability analysis

    • Exploratory factor analysis/principal components analysis

  • Regression

    • Simple linear regression, multiple regression, and polynomial regressions

    • Moderation, simple slopes tests, and visualizing interactions

    • Regression diagnostics

  • More general linear models

    • Mixed/repeated measures ANOVA

    • Logistic regression

    • MANOVA

  • Additional Topics and Frontiers (often subject to the interests of attendees)

    • Mediation

    • Non-parametric analyses and robust regression

    • Confirmatory factor analysis

    • Multilevel Modeling

Questions and Contact Information

For questions about the workshop series, email welker.keith@gmail.com.


How to Sign Up

To sign up, send $350 to my paypal (Link: https://paypal.me/KeithWelker). In the note (where it says “add a note” before you make your payment) for the paypal payment, include your full name and email address so I may contact you regarding updates about the course and information to access the workshop meetings and content.


Note: Any discounts will be applied and paid back to participants at the beginning of the workshop. The workshop requires at least 10 participants to be held. If the workshop is not held, participants will be fully refunded.

Workshop Series Features


<10 Attendees: 

N/A (The workshop series needs at least 10 attendees to be held)

10-24 Attendees: 

Cost: $350


  • 3 2-hour workshop sessions (30 hours of content)

  • Access to slide decks and practice data

  • Access to workshop videos (up until 2 months after the workshop)

25-39 Attendees: 

Cost: $280 (20% Discount for all participants)


  • 3 2-hour workshop sessions (30 hours of content)

  • Access to slide decks and practice data

  • Access to workshop videos (up until 2 months after the workshop)

  • + Access to cheat sheets and independent practice problems 

40+ Attendees: ​

Cost: $245 (30% Discount for all participants)


  • 3 2-hour workshop sessions (30 hours of content)

  • Access to slide decks and practice data

  • Access to workshop videos (up until 2 months after the workshop)

  • Access to cheat sheets and practice problems 

  • + Additional workshop sessions for more flexible workshop access