From 74584472a3eb68ca69c18a310dde8cca5b9fb82d Mon Sep 17 00:00:00 2001 From: isaactpetersen Date: Thu, 9 Jan 2025 10:14:41 -0600 Subject: [PATCH] 20250109 - guidelines for reporting reliability and validity in SEM --- 08-Structural-Equation-Modeling.Rmd | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/08-Structural-Equation-Modeling.Rmd b/08-Structural-Equation-Modeling.Rmd index 699c8f0e..4a40a9b0 100644 --- a/08-Structural-Equation-Modeling.Rmd +++ b/08-Structural-Equation-Modeling.Rmd @@ -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}