Types of inference
This is the landing page for topics related to different types of inference that may be the focus of your intensive longitudinal study.
Your study may focus on [description, prediction, and causation]. Many statistical models can be used with each of these foci, but this often requires specific additional analyses.
Below we have specified multiple articles where you can read more about different types of inference.
Think more about types of inference
Descriptive inference
Describing patterns in your data without aiming to generalize to a population.
Predictive inference
Trying to predict a future observation or characteristic with observations from the present and past.
- [Forecasting]
- [Early-warning signals]
Causal inference
Explaining the mechanisms behind a process.
- [Directed acyclic graphs (DAGs)]
- [Dynamic structural equation models]
- [Marginal structural models]
- [G-methods]