Advanced Topics in Dyadic Longitudinal Data Analysis

Have you learned the basics of dyadic longitudinal modeling but find you still have a lot of questions? This workshop will do a deeper dive into some of the more complicated issues of dyadic longitudinal data analysis, such as complex data structures, covariance matrices, MLM versus SEM, and data visualization.

Instructors:
Amie M. Gordon, PhD (University of Michigan)
Kate Thorson, PhD (Barnard College)

Workshop Dates and Times:
Monday, July 29, 2024, 10:30am to 3:30pm ET
Tuesday, July 30, 2024, 10:30am to 3:30pm ET

Workshop Format:
Two-Day Synchronous Online Workshop

Each day will involve lectures and planned exercises. Participants are encouraged to bring their own data to apply the techniques we are learning during the “hands on” portion of each session. However, all exercises will include example data sets for participants to work with and practice on. Time for consulting with the instructors on methods related to the workshop material will also be built into the schedule.

This 2-day workshop will cover more advanced topics in analyzing dyadic longitudinal data. The goal is to take a deeper dive into some of the more complicated issues with dyadic data analysis that we are only able to touch upon briefly in the 4-day workshop. This includes topics such as complex data structures (e.g., repeated measures within multiple dyadic conversations), covariance matrices, MLM versus SEM (and multilevel SEM), dealing with mixed distinguishability (when datasets include both distinguishable and indistinguishable dyads), working with random effects (e.g., extracting individual slopes), and data visualization.

Our aim is to approach teaching the workshop from a researcher's perspective, providing you with the information you need to be able to understand dyadic and longitudinal data and to think through all the different issues with your data and analyze it correctly.

What you’ll learn

Thinking through when to use MLM versus SEM

  • Multilevel SEM

How to deal with more complicated issues with dyadic longitudinal data analysis, such as:

  • How to think through modeling complex data structures

  • Selecting appropriate covariance matrices

How to make the most of random effects

  • Modeling heterogeneity

  • Using individual slopes in other models

  • Data visualization

Gain knowledge in additional advanced topics

Syllabus

  • Complex data structures

  • Modeling mixed distinguishability

  • Covariance matrices

  • MLM versus SEM

  • Working with random effects (e.g., extracting individual slopes)

  • Data visualization

  • Additional topics based on attendee interests

Registration Options

Advanced Topics in Dyadic Longitudinal Data Analysis

  • Professional
  • $599
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • Click Register Below
  • Trainee
  • $599 $399
  • 33% Discount for
    Students and Postdocs
  • Use code "TRAINEE" at Checkout

Combo 1: Advanced Topics in Dyadic Longitudinal Data Analysis + Dyadic Longitudinal Data Analysis

  • Professional
  • $1598 $1279
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • 20% Combination Discount
  • Click Register Below
  • Trainee
  • $1279 $852
  • 33% Discount for
    Students and Postdocs
  • 20% Combination Discount
  • Use code "TRAINEE" at Checkout

 FAQs

  • This workshop is appropriate for graduate students, postdoctoral researchers, faculty, and other research scientists who utilize, and have familiarity with, dyadic longitudinal data.

  • Intermediate/Advanced

  • Attendees will be expected to have a basic grasp of dyadic longitudinal data analysis (similar to what will be covered in the 4-day dyadic longitudinal data analysis workshop).

  • The workshop will cover running models in a variety of software programs (R, SAS, SPSS, Mplus). Attendees do not need to have access to all of these software programs. They should have access to the software program they typically use for dyadic longitudinal data analysis.

  • Attendees will receive access to workshop slides, along with relevant syntax and datasets in addition to continuing access to videos for a year after the workshop.

  • Although the two workshops will be a good combination for someone who wants to learn dyadic longitudinal data analysis, attendees do not need to take the 4-day workshop to enroll in this workshop. This workshop will be helpful for anyone who has experience with dyadic longitudinal data analysis and still has questions/wants to gain additional expertise with more advanced topics.