20231227 - DAGitty

Author: isaactpetersen

08-Structural-Equation-Modeling.Rmd

@@ -788,7 +788,7 @@ A key tool when designing a structural equation model is a conceptual depiction
 A causal diagram depicts the hypothesized causal processes that link two or more variables.\index{structural equation modeling!causal diagram}
 A common form of causal diagrams is the directed acyclic graph (DAG).\index{structural equation modeling!causal diagram}
 DAGs provide a helpful tool to communicate about causal questions and help identify how to avoid bias (i.e., over-estimation) in associations between variables due to confounding (i.e., common causes) [@Digitale2022].\index{structural equation modeling!causal diagram}
-Free tools to create DAGs include the `R` package `dagitty` [@Textor2017] and the browser-based extension\index{structural equation modeling!causal diagram}: https://dagitty.net (archived at https://perma.cc/U9BY-VZE2)
+Free tools to create DAGs include the `R` package `dagitty` [@Textor2017] and the associated browser-based extension, DAGitty\index{structural equation modeling!causal diagram}: https://dagitty.net (archived at https://perma.cc/U9BY-VZE2).
 
 ## Model Fit Indices {#modelFitIndices-sem}