Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration two weeks or more before the course is scheduled to begin, you are entitled to receive your choice of either a credit for a future seminar (which can be applied toward any of our courses) or a refund of the registration fee (minus a processing fee of $50). 

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 3-Day Livestream Seminar Taught by Christopher L. Aberson, Ph.D.

Learn how to convert SPSS workflows into R code from the perspective of an instructor who is a long-time user of both programs.

SPSS users in the social sciences and other fields are migrating to R. However, R resources often do not address the common tasks, processes, and workflows familiar to SPSS users.

This course will address the following issues:

• How SPSS terminology corresponds to R terminology (i.e., translations between the two approaches).
• How to import data from major software packages.
• Basic differences between the R environment and SPSS.
• How to perform common SPSS data visualizations, analyses, and modeling in R.
• How to manipulate and clean data.
• Using LLMs to debug code, improve analysis and data visualization, convert existing SPSS syntax to R, and assist in navigating challenging code structures.

We’ll address these issues and numerous practical ones that will allow you to move seamlessly from SPSS to R.

Explicit discussion of LLM prompting will comprise approximately 15% of course time.

This course takes the perspective of the SPSS user. SPSS users know how to carry out their preferred analyses in SPSS. However, in moving to R, analysis approaches, workflows, and output often differ from R defaults. You’ll learn how to produce the statistics commonly used and reported in SPSS using R. Throughout the course, there will be sections highlighting ways to improve workflows with LLM support.

The course is hands-on. There are regular exercises to ensure understanding and online help for those who get stuck. You are encouraged to bring your own data and post questions about translating your SPSS-focused analyses to R.

You’ll become familiar with using R through the RStudio interface while learning how to transition smoothly into the R environment. You will leave with course materials, including detailed examples of all common social science analyses and approaches.