Resources for Dyadic and Multilevel Modeling – WHIRLab

Resources for Dyadic and Multilevel Modeling

Dyadic Longitudinal Data Analysis Workshops

Amie Gordon and Kate Thorson offer virtual workshops for learning about dyadic longitudinal data analysis. The goal of these workshops is to provide attendees with a strong set of fundamentals that allows them to confidently approach dyadic longitudinal data analysis.

Summer 2024 Workshops (offered through SMaRT Workshops)

June 10-13 (10:30a – 3:30p EST): 4-day workshop covering the fundamentals of dyadic longitudinal data analysis
Information and Registration
July 29-30 (10:30a – 3:30p EST): 2-day workshop covering advanced topics in dyadic longitudinal data analysis
Information and Registration

Resources for Dyadic and Multilevel Modeling

Slides: An Introduction to Dyadic Methods

These slides provide a brief introduction to dyadic methods. They were presented by Dr. Gordon at the University of Michigan Psychology Department’s Method Hour in October 2021. In the 40 minute talk, she covered what dyadic methods are, some benefits of collecting dyadic data, conceptual models (including introductions to the Actor-Partner Interdependence Model, Common Fate Model, and Dyadic Response Surface Analysis), distinguishability, dyadic repeated measures, and statistical issues to be aware of when analyzing dyadic data.

You can also view the recording of the talk here.

Slides: Multilevel Modeling Workshop, Oct. 2019

These slides offer an in-depth guide to multilevel modeling. They were presented by Dr. Gordon in a workshop at the University of Toronto in October of 2019. Click on the photo on the left to access the PDF.

Webinar: A Practical Guide to Multilevel Modeling

This two-part webinar is free for members of SPSP. Click on http://spsp.org/events/online-learning and navigate to “past webinars” to view the webinar. You will be prompted to enter your SPSP login.

External Resources

Barnard Social Interaction Lab – Dyadic Data Resources

The Analysis Factor – Mixed and Multilevel Models

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