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GitHub - cribbie/negligible: This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing). This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing). - cribbie/negligible

This #rstats #package #negligible examine negligible effect / #equivalent testing in #SEM model after #lavaan, a few of the functions include
1) #neg.semfit (CFI, RMSEA, SRMR)
2) #neg.normal

github.com/cribbie/negl...

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HMWN

I want to highlight a cool website by Hermine Maes: hermine-maes.squarespace.com. She has shared code for many models used in #StatisticalGenetics.

Thank you for reading my (short) overview of SEM and how to learn it - please ask away & let me know about your experience with #lavaan or #OpenMx πŸ˜€

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A SEM example – lavaan.org

To get started in #lavaan we just take a path diagram and write out the relationships between the variables, see here:

lavaan.ugent.be/tutorial/sem...

A neat #Rpackage for visualizing results in lavaan is semPlot, also by @sachaepskamp.bsky.social. It can be used to visualize models and results.

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Sacha Epskamp

To get started with SEM, I've watched a few videos by @sachaepskamp.bsky.social, who made his teaching materials available: www.youtube.com/@Sacha_Epska...

Like in a regression, we can write the relationships between variables using formulas. In R, we can easily do this using the #lavaan package πŸ“¦

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Lovely first day of the #rainbowR conference with a trivia quiz and social by @libbyheeren.bsky.social and @damiepak.bsky.social πŸ₯°πŸŒˆ

Planning to finally post about #SEM tomorrow. If you have questions about working with SEM or you use #lavaan or #OpenMx please let me know in the comments! #RStats

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Building Lovemarks with social media marketing: A methodological comparison This study provides a methodological exploration of the β€˜Lovemarks’ framework in social media marketing by replicating and extending the work of (Feta…

Here we go again, debate between #CBSEM #rstats #lavaan and #PLSSEM www.sciencedirect.com/science/arti...

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GESIS Workshop
Introduction to Structural Equation Modeling
04 to 06 March 2026 | Online
Timo Gnambs (Leibniz Institute for Educational Trajectories (LIfBi))

GESIS Workshop Introduction to Structural Equation Modeling 04 to 06 March 2026 | Online Timo Gnambs (Leibniz Institute for Educational Trajectories (LIfBi))

Hidden variables in your data? πŸ•΅οΈβ€β™€οΈ
Find them in @tgnambs.bsky.social’s #GESISworkshop on structural equation modeling!
Build a solid #SEM foundation β€” from measurement models to mediation, moderation, invariance, and longitudinal SEMs, hands-on in R with #lavaan.

Info ➑️ t1p.de/Intro-SEM26

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My question. Is it possible to use #rstats #package #lavaan to asses measurement model #convergent and #discriminant #validity, then move on to #blavaan to finalize both #measurement and #structural models. I like that #blavaan has #prior() function. Need help. This is really new for me. Thanks.

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Here is the #rstats #package #lavaan #syntax

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Ξ©nyx – Structural Equation Modeling

#Ξ©nyx is a free #SEM app which can estimate #Latent #Change #Score #LCS model. User can even export its path diagrams to #rstats #package #lavaan. Here’s the tutorial www.sciencedirect.com/science/arti... onyx-sem.com

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Here are the #rstats #package #lavaan #syntax examples from my prompt in #gemini

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Let’s say you just starting to use #rstats #SEM #package #lavaan and gotten a nice results. Next is to do a nice SEM figure, here is a #shinyapps option solo-fsw.shinyapps.io/lavaangui/ and the article www.tandfonline.com/doi/full/10....

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The Short Dark Triad across 14 cultures: A novel network-based invariance approach The aim of this study was to implement and extend exploratory graph analysis to examine the network-based invariance of the Short Dark Triad (SD3) acr…

Novel approach of #scale #measurement #invariance study across 14 cultures , #rstats #packages #EGAnet and #lavaan, #exploratory #factor #analaysis #EFA stage NOT required! www.sciencedirect.com/science/arti...

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Tidy Structural Equation Modeling A tidy workflow for generating, estimating, reporting, and plotting structural equation models using lavaan, OpenMx, or Mplus. Throughout this workflow, elements of syntax, results, and graphs are rep...

Next learning goal #rstat #package #tidySEM for #tidy #workflow implementation for #structural #equation #modeling #SEM #lavaan #OpenMx using the β€œ|>” operator cjvanlissa.github.io/tidySEM/

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Assessment of Regression Models Performance Utilities for computing measures to assess model quality, which are not directly provided by Rs base or stats' packages. These include e.g. measures like r-squared, intraclass correlation coefficient ...

Use #rstats #package #performance to evaluate and compare #SEM #lavaan models #goodness-of-fit #indices easystats.github.io/performance/ and #modelsummary to create plots and tables modelsummary.com

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This #shinyapp #processR provides almost all #Hayes #conditional #mediation model templates using #rstat #lavaan #package cardiomoon.shinyapps.io/processR/

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APA PsycNet

The #local #structural-after-measurement #SAM approach to #SEM #rstats #package #lavaan
1) is robust against #model #misspecification
2) is less vulnerable to convergence issue in small samples
3) has smaller sample biases under correctly specified models
psycnet.apa.org/record/2023-...

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Testing for Measurement Invariance in R | Towards Data Science Do your survey questions function similarly for all respondents regardless of their demographic characteristics?

Steps testing #measurement #invariance of #scales #factors #constructs using #rstats #package #lavaan towardsdatascience.com/testing-for-...

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Using lavaan – The RI-CLPM & Extensions Online supplementary material of Mulder and Hamaker (2021).

The #RI-CLPM has 3 new extensions #rstats #package #lavaan jeroendmulder.github.io/RI-CLPM/lava...
1) #time-invariant predictors
2) #multiple-group
3) #multiple-indicator
www.tandfonline.com/doi/full/10....

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simulateData: Simulate Data From a Lavaan Model Syntax in lavaan: Latent Variable Analysis

#statstab #284 Simulate Data From a {lavaan} Model Syntax

Thoughts: This is built-in to lavaan but useful to know it exists, especially when validating and pre-reg models.

#lavaan #simulation #cfa #efa #openscience #data

rdrr.io/cran/lavaan/...

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Bayesian Latent Variable Modeling in R with {blavaan}
Bayesian Latent Variable Modeling in R with {blavaan} YouTube video by UseR Oslo

#statstab #278 Bayesian Latent Variable Modeling in R with
{blavaan}

Thoughts: This model has grown a lot, but there is little complete guidance on how to use it. Here is the dev talking about it.

#bayesian #SEM #CFA #blavaan #r #lavaan #pathanalysis

youtu.be/xJy5zIkzgvg

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#stats help: is there any online tutorial for ordinal CFA with {blavaan}?

#bayes #bayesian #blavaan #lavaan #cfa #sem #tutorial

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Do you do Structural Equation Modeling in #rstats? The main developer of one of the primary packages, #lavaan, is running into trouble securing funding to keep the package going, and has reached out to the community to help support. Donate here:...

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Erm, #lavaan help plz.

Using MLR for several models and one model's 90% CI for the robust RMSEA is 0-0, which doesn't include the point estimate (.068)....

#Rstats

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Had me w first sentence:
"No survey ever attains 100% response."πŸ˜…


More importantly:
ML CFA estimation w pairwise correlation for ordinal data under #MissingAtRandom in #lavaan: "acceptable relative bias & close to zero raw bias"

#Psychometrics #rstats

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Any #lavaan users out there that might know why a CFA model appears to converge but returns NA for CFI and TLI? I am working on configural invariance with two subgroups; whole-group model runs smoothly. #SEM #stats #rstats

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From Trier I travelled to Bern where I was invited by a group of extremely motivated and well-prepared (frighteningly so!) PhD students to train how to fit growth models in R. Three days fun @unibern!
#rstats #lme4 #lcmm #lavaan

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