Longitudinal and Dyadic Analysis
Longitudinal and Dyadic Analysis
Modelling change and mutual influence
For researchers working with repeated-measures and dyadic data: modelling change and mutual influence correctly.
Longitudinal and dyadic data violate the assumptions of ordinary regression. Analysing such data with cross-sectional methods is one of the most common methodological objections raised in peer review. The course covers the appropriate models for both data structures and the reasoning behind choosing between them.
Course Content
- The structure of repeated-measures data and how to organise it (wide / long)
- Longitudinal measurement invariance
- Modelling change with latent growth models (LGM)
- The cross-lagged panel model (CLPM)
- The random-intercept CLPM (RI-CLPM) and why it is preferred
- Interdependence and distinguishability in dyadic data
- The Actor–Partner Interdependence Model (APIM)
- Mediation and moderation extensions of APIM
- Reporting longitudinal and dyadic findings
Who Is It For?
Researchers using repeated-measures designs
Those collecting couple, parent–child or other dyadic data
Postgraduate students working on relationships and development
Anyone about to analyse panel data
Prerequisite: Basic knowledge of structural equation modelling is recommended.
Course Details
| Format | Online, live and hands-on |
| Group | Limited places — small groups where you can ask questions |
| Materials | Practice datasets, slide decks and sample output |
| Certificate | Certificate of attendance provided |
| Instructor | Prof. Dr. Seydi Ahmet Satıcı and the BADE Institute academic team |
| Dates and fee | E-mail us for the current calendar and fees |
Instructor
Prof. Dr. Seydi Ahmet Satıcı
Yıldız Technical University · Co-founder, BADE Institute
135 Web of Science articles, 7,554 citations, h-index 38. Recipient of the 2021 TÜBİTAK Incentive Award; among the top 250 scientists in Türkiye according to Elsevier 2024 metrics and in the world’s top 2% most-cited researchers for four consecutive years. He has taught methodology to hundreds of academics and researchers.
Publication and citation data: Yıldız Technical University AVESİS, August 2026.
I Would Like to Join This Course
E-mail us for the current calendar, available places and fees. We also run in-house group sessions on request.
Please say which course you would like to join and, if you have one, your preferred date.
