Instructors: Randi Garcia and Dave Kenny
Teaching Assistants: Julianna Alvord and Emma Ning

This website contains content from the 2018 DATIC workshop on Dyadic Data Analysis. The riggs data is not available for sharing publicly.

Schedule

Day 1: Definitions, Nonindependence, and Data

Lecture and Lab 9-12
Lunch 12:00 PM to 1:15 PM
- Yelp: UConn
Lecture and Lab 1:15-3:30
- Multilevel Modeling of Dyadic Data: Effects of Gender and Length of Marriage on Satisfaction
- Introduction to the APIM
Late Afternoon Session 3:30-5:00
- Homework (optional)
- Restructure and Do Runs on One’s Own Data

Lecture and Lab 9-12
- Indistinguishable Dyads: Effects of Attachment Anxiety on Satisfaction
- Distinguishable Dyads: Results Differing by Gender
- Power Analyses
Lunch 12:00 PM to 1:15 PM
Lecture and Lab 1:15-3:30
Late Afternoon Session 3:30-5:00
- Homework (optional)
- Do Runs on One’s Own Data

Lecture and Lab 9-12
- Moderation Introduction
- Moderation in the APIM: Attachment Avoidance Moderating the Effect of Attachment Anxiety on Satisfaction
Lunch 12:00 PM to 1:15 PM
Lecture and Lab 1:15-3:30
- Mediation Introduction (slides)
  - Figures only
  - Full Handout
- Mediation in the APIM: Attachment Anxiety Mediating the Effect of Childhood Abuse on Satisfaction
- APIMoM and APIMeM Apps
Late Afternoon Session 3:30-5:00
- Homework (optional)
- Do Runs on One’s Own Data

Lecture and Computer Workshop 9-12 and 1:15-3:30
- Introduction
- Kashy Dataset
- Growth Curve Models: Slides and Examples
  - Individual Growth Curve
  - Dyadic Growth Curves
Lunch 12:00 PM to 1:15 PM
Lecture and Lab 1:15-3:30
- Repeated Measures Analysis: Effect of Day and Gender on Satisfaction
- Stability-Influence Model: Effect of Partner’s Satisfaction on Respondent’s Satisfaction
- APIM Person-Centered
Late Afternoon Session 3:30-5:00
- Homework (optional)
- Do Runs on One’s Own Data

Lecture and Computer Workshop 9-12 and 1:15-3:30
- Acitelli Dataset
- Introduction to Structural Equation Modeling
- APIM with SEM
- Model Fit
Lunch 12:00 PM to 1:15 PM
Lecture and Lab 1:15-3:30
Late Afternoon Session 3:30-5:00
- Homework (optional)
- Do Runs on One’s Own Data