tutorial
Definition
Tutorial refers to an instructional resource designed to guide researchers through a technical workflow, lowering the barrier to entry for methods that might otherwise require substantial prior expertise. In the context of Bayesian graphical modeling, tutorials take the form of educational vignettes embedded directly within an R package, walking applied researchers through model fitting, result extraction, and visualization of network findings. This format is directed specifically at users with little background in Bayesian inference or programming, bridging the gap between advanced statistical machinery and practical application.
Sources: Huth et al. (2024)
Related Terms
- network psychometrics (1 shared article)
- Bayesian inference (1 shared article)
- R (1 shared article)
Applications
Tutorial and Bayesian Graphical Modeling
The educational vignettes included in the easybgm package serve as tutorials that guide researchers through the full workflow of Bayesian analysis of graphical models, from specifying prior distributions to interpreting posterior edge inclusion probabilities. This pairing directly addresses the inaccessibility of existing Bayesian packages, which were written primarily for researchers with advanced statistical and programming knowledge.
Sources: Huth et al. (2024)
Tutorial and Network Psychometrics
Network psychometrics models psychological constructs as systems of interacting variables, and the technical demands of that approach have historically limited its Bayesian implementations to specialist users. Tutorials embedded in packages like easybgm make these methods available to applied researchers who study phenomena such as symptom networks or educational test scores without requiring deep expertise in the underlying graphical model theory.
Sources: Huth et al. (2024)
