Research Explorer

Your browser does not support JavaScript or JavaScript is not enabled. Without JavaScript some functions of this webapplication may be disabled or cause error messages. To enable JavaScript, please consult the manual of your browser or contact your system administrator.

Project

Statistical challenges in modeling longitudinal dyadic data.

Outputs and Outcomes

Code

01N01115

Duration

01 January 2015 → 31 August 2020

Funding

Regional and community funding: Special Research Fund

Promotor

Tom Loeys

Research disciplines

Social sciences
- Statistics and data analysis

Keywords

modeling longitudinal dyadic data

Project description

Researchers studying longitudinal data from couples to assess the interpersonal interaction may be faced with several statistical challenges. What is the most appropriate modeling technique? How can one deal with categorical outcomes or missing data? How can one perform a mediation analysis in such setting? This project aims to provide appropriate and innovative answers to those questions.

English

Dutch

English

Cookie settings

In addition to functional cookies which are necessary for the website to function, Ghent University uses non-functional cookies such as statistical cookies and social media cookies. These non-functional cookies can also be placed by third parties, for example to measure the use of the site or to share content on social media. Certain media are only available if you accept the cookies. You can set and modify your cookie preferences yourself. Find out what cookies we use and why in the Cookie Statement.

Analytics

AnalyticsWe'll collect information about your visit to our site. It helps us understand how the site is used – what's working, what might be broken and what we should improve.

Powered by