From cc00d5c98bbb169c583149d0dd37d3c14b7e4176 Mon Sep 17 00:00:00 2001 From: "Isaac T. Petersen" Date: Wed, 27 Dec 2023 18:05:59 -0600 Subject: [PATCH] 20231227 - DAGitty --- 08-Structural-Equation-Modeling.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/08-Structural-Equation-Modeling.Rmd b/08-Structural-Equation-Modeling.Rmd index af1f5cc24..b4d0ddfee 100644 --- a/08-Structural-Equation-Modeling.Rmd +++ b/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}