diff --git a/08-Structural-Equation-Modeling.Rmd b/08-Structural-Equation-Modeling.Rmd
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@@ -1671,6 +1671,10 @@ But estimation of a [multitrait-multimethod matrix](#MTMM) in [CFA](#cfa) can be
 
 A more practical utility of SEM is that it allows one to obtain "purer" estimates of latent constructs (and people's standing on them) by discarding [measurement error](#measurementError), and you do not have to assume all [errors](#measurementError) are uncorrelated!\index{structural equation modeling}\index{measurement error}
 
+## Guidelines for Reporting Reliability and Validity in SEM {#semReliabilityValidityReporting}
+
+Guidelines for reporting [reliability](#reliability) and [validity](#validity) in structural equation modeling are provided by @Cheung2024.\index{structural equation modeling}\index{reliability}\index{validity}
+
 ## Power Analysis Using Monte Carlo Simulation {#monteCarloPowerAnalysis}
 
 Power analysis for latent variable modeling approaches like SEM is more complicated than it is for other statistical analyses, such as correlation, multiple regression, *t* tests, analysis of variance, etc.\index{power analysis}\index{structural equation modeling!power analysis}