Outcome types
This is the landing page for topics related to different types of outcomes in your intensive longitudinal study.
The type of outcome determines what modeling approach is appropriate. The outcome may be a continuous-valued variable (e.g., using a slide-ruler), a discrete-valued variable (e.g., using a Likert scale), or a categorical variable (e.g., using distinct, mutually exclusive answer categories).
Below we have specified multiple articles where you can read more about types of outcome.
Think more about your outcome type
The type of outcome variable influences assumptions about distribution, link functions, and estimation methods.
- [Discrete outcomes]
- [ARMA models versus discrete variables]
- [Categorical outcomes]
- [Markov models for categorial variables]
You may focus on a single outcome variables using a univariate model (possibly with multiple predictors), or on multiple outcome variables simultaneously using a multivariate model.
- [ARMA versus VARMA]
- [Network models]
- [SVAR]