Pfadmodellierung
Pfadmodellierung, also known as path modeling, is a statistical technique used to test and estimate causal relationships between a set of observed and latent variables. It is a broad term that encompasses various specific statistical methods, including regression analysis, factor analysis, and structural equation modeling (SEM). The core idea behind path modeling is to represent hypothesized causal relationships as a diagram, often called a path diagram, where variables are depicted as circles or boxes and causal influences are represented by arrows.
In path modeling, observed variables are those that are directly measured, while latent variables are unobserved
Path modeling is widely used in various fields, including psychology, sociology, education, marketing, and health sciences,