#lavaan — Public Fediverse posts

#rstats #lavaan structural equation modeling -- a postdoc developer position at University of Amsterdam https://werkenbij.uva.nl/en/vacancies/researcher-in-methods-and-statistics-specializing-in-programming-and-structural-equation-modeling-netherlands-15033. I am familiar with the package although not with all of the internal class structures and stuff. I would be comfortable working on this after the two book clubs on @hadleywickham's Advanced R and R Packages through the @DSLC community led by @jonthegeek ... but you also need to know the freaking matrix calculus to follow Satorra's asymptotic theory.

Does anyone know how to get an R-squared value for a fitted model using #lavaan in #Rstats? Specifically, I'm looking for R-squared for a regression model (i.e., one DV). I'm finding very little to work with online. I have a coauthor insisting that R2 is critical for his publication venue.

#question #lm #model #sem #statistics

I regard myself as relatively technologically proficient and often an early adopter. Where many within my field would do their analyses in SPSS and write their articles in Word (which is fine), I prefer a workflow with, say, #RStudio and #Quarto, write analyses and text as a single reproducible document, and collaborate with #GitHub. Still, the whole generative AI thing has always... repelled me, and even more so for any kind of work within #academia. But I don’t find it easy to explain exactly what bothers me.

An important aspect of it is the «black box» thing. Scientific work should be transparent and reproducible. Output from an #LLM is anything but.

Another thing is watching colleagues get «coding advice» from an LLM for their statistical analyses that I immediately see will not run. Where, say, #lme4 syntax and #lavaan syntax is mixed up.

Third, I’ve seen horrendous examples where students ask LLMs to find research for them, with the LLM «digging up» one fictitious article after another, with fictitious results, sometimes with actual names of actual researchers, delivered with confidence. Admittedly, that was some while ago.
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#academia #education #LLM #generativeAI #AIhype #rstats

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: https://lavaan.ugent.be/about/donate.html

@avehtari @modrak_m

I really want to believe you because this was my intuition as well. I double checked it with a structural equation model:

- one model where residual covariance is constrained to be 0
- one model where residual covariance is estimated freely

Fit with #lavaan, check the regression parameter estimates...

they are the same.

see here: https://gist.github.com/vankesteren/310ba8ff91149c5d91fdffb1cb42f5d3

Do you mean something else than this?

Does anyone know what happened to the #RMediation package? Since last #rstats update, I get a message saying that it isn't available for my version of R. Can't install from CRAN. Used to be my go-to for formally testing indirect effects, when using #lavaan. #SEM #mediation