#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.
Vacancy — Researcher in Methods and Statistics Specializing in Programming and Structural Equation Modeling

<p><span>Are you an academic who works with structural equation modeling (SEM)?  Do you support open-science principles?  Do you use the open-source SEM package </span><span>lavaan</span><span> to conduct your research?  Do you want to contribute to programming the </span><span>lavaan</span><span> package, with the goal of increasing its strength and scope? Then we </span><span>have the perfect challenge for you! </span></p><p> </p>

"No, YOU'RE non-positive definite!"
-- Me to my computer every 7 minutes when running models

#rstats #lavaan #dataanalysis #statistics

Went for a very cold walk, listened to #quantitude podcast, and came back thinking of this T-shirt.

If I were to ever make it, I'd wear it to a conference. I wonder of Yves Roseel would like one.

#tshirt #rstats #lavaan #notrun #silly

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

"Your mom's not identified!" "Your mom is non-positive definite!" "Your mom is reciprocally singular!"

(Me running models in #Rstats using #lavaan today)

#statistics #datascience #shitpost #ImSorry

#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

https://rdrr.io/cran/lavaan/man/simulateData.html

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

#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

https://youtu.be/xJy5zIkzgvg

Bayesian Latent Variable Modeling in R with {blavaan}

YouTube

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

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

I want to reproduce a paper in classroom as an exercise for the lavaan package. Where can I find a paper on structural equation modeling where the author shared the original data? If you could provide one, thank you very much
#tidyverse
#ggplot2
#lavaan
#sem
#Rstats

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.
2/3

#academia #education #LLM #generativeAI #AIhype #rstats