Dyadic Longitudinal Data Analysis

This 4-day workshop will offer both conceptual and practical knowledge about analyzing dyadic longitudinal data. The goal is to provide attendees with a strong set of fundamentals that will allow them to confidently approach basic dyadic longitudinal data analysis. We approach teaching the workshop from a researcher's perspective, providing the information researchers need to understand and analyze dyadic, longitudinal data.

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

Workshop Dates and Times:
Monday, June 10, 2024, 10:30am to 3:30pm ET
Tuesday, June 11, 2024, 10:30am to 3:30pm ET
Wednesday, June 12, 2024, 10:30am to 3:30pm ET
Thursday, June 13, 2024, 10:30am to 3:30pm ET

Workshop Format:
Four-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. 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.

Day 1 will cover the basics of cross-sectional dyadic analysis, including (but not limited to) dealing with non-independence between partners, different modeling options (Actor-Partner Interdependence Model and Common Fate Model), and distinguishability of partners.

Day 2 will cover the basics of longitudinal data analysis, including (but not limited to) different ways of modeling non-independence due to repeated measures, identifying the structure of your longitudinal data, fixed versus random effects, properly centering your variables, a brief introduction to over-time analyses (e.g., growth curve models and lagged analyses).

Days 3 & 4 will bring together what you learned on the first two days to address the unique issues and opportunities presented with analysis of dyadic longitudinal data.

We will discuss how to properly structure dyadic longitudinal data for both distinguishable and indistinguishable dyads as well as how to run over-time analyses, such as over-time Actor-Partner Interdependence Models and dyadic growth curve models. We will primarily focus on dyadic longitudinal models using multilevel modeling (MLM) but will discuss the differences between analyses in MLM versus SEM. We find that even people who have a strong grasp of dyadic and longitudinal data analysis still benefit from the content covered on Days 1 and 2.

What you’ll learn

  • Fundamentals of analyzing cross-sectional dyadic data

  • Fundamentals of analyzing longitudinal data

  • Fundamentals of analyzing dyadic longitudinal data

    • Data structures

    • Options for dealing with nonindependence

    • Specific models

    • Interpreting results

    • Common mistakes and misconceptions

Syllabus

Day 1:

  • Workshop Introduction

  • Introduction to Dyadic Methods

  • Modeling Approaches for Dyadic Data

  • Dyadic Data Analysis: Interpretation & Reporting

Day 2:

  • Introduction to Longitudinal Methods

  • Modeling Approaches for Longitudinal Data

  • Longitudinal Data Analysis: Interpretation & Reporting

Day 3:

  • Introduction to Dyadic Longitudinal Methods

  • Modeling Approaches for Dyadic Longitudinal Data

  • Dyadic Growth Curve Model

  • Over-time Actor-Partner Interdependence Model

Day 4:

  • Stability and Influence Model

  • Dyadic Repeated Measures Models

  • Mediation & Moderation

  • Effect Size, Statistical Power, and Sample Size

  • Workshop Wrap-Up

Registration Options

Dyadic Longitudinal Data Analysis

  • Professional
  • $999
  • Baseline Price for Faculty,
    Staff, and Other Professionals
  • Click Register Below
  • Trainee
  • $999 $666
  • 33% Discount for
    Students and Postdocs
  • Use code "TRAINEE" at Checkout

Combo 1: Dyadic Longitudinal Data Analysis + Advanced Topics in 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 faculty, post-doctoral students, and graduate students.

  • Intermediate

  • This is an introductory course, and no prior experience with dyadic or longitudinal data analysis is necessary. Participants will be expected to have taken introductory graduate-level statistics within psychology or related fields and have a basic understanding of multiple linear regression.

  • The focus of this course will be to provide flexible, conceptual knowledge that will allow you to analyze dyadic longitudinal data in whichever software package you are familiar with. We will provide examples and discuss commonalities and differences between models run in SPSS, SAS, and R.

  • All participants will receive copies of the workshop slides, along with example datasets and syntax in SPSS, SAS, and R. Participants will also have access to workshop videos for a year after the workshop.