Repositories list

• immerse-ucsb.github.io

  Public template
  GH pages repository to host all tutorial scripts as websites for sharing (PDF/HTML formats).

  data-scienceapplied-statisticslatent-variables+ 5structural-equation-modelingturtorialsmixture-modelslatent-profile-analysislatent-class-analysis

  HTML

  •1•1•0•0•Updated Dec 11, 2024Dec 11, 2024

• po_LCA

  Public
  HTML

  •0•0•0•0•Updated Dec 3, 2024Dec 3, 2024

• growth-mixtures

  Public
  HTML

  •0•1•0•0•Updated Dec 2, 2024Dec 2, 2024

• lpa_enum

  Public
  This repository walks through latent profile analysis using `tidyLPA` and `MplusAutomation`.

  HTML

  •0•1•0•0•Updated Nov 1, 2024Nov 1, 2024

• in-person-training-2024

  Public
  In-person training materials for Cohort 2

  HTML

  •3•0•0•0•Updated Jun 6, 2024Jun 6, 2024

• logistic_regression

  Public
  Multinomial Logistic Regression

  HTML

  •3•0•0•0•Updated May 21, 2024May 21, 2024

• intro-to-mplusautomation

  Public
  This repo will go through how to use Mplus and MplusAutomation in R. For Part 1, we will first walk through how to run basic descriptive statistics using only Mplus. In Part 2, we will use an R package called MplusAutomation to run the same analysis as Part 1, only this time using only RStudio. Part 3 will go over data cleaning in R.

  HTML

  •5•0•1•0•Updated May 17, 2024May 17, 2024

• tidy_wrangling_practice

  Public
  HTML

  •4•0•0•0•Updated May 14, 2024May 14, 2024

• continued_training

  Public
  HTML

  •2•0•0•0•Updated Oct 13, 2023Oct 13, 2023

• lca_enum

  Public
  We utilize six focal indicators which constitute the latent class model in our example; three variables which report on harassment/bullying in schools based on disability, race, or sex, and three variables on full-time equivalent school staff hires (counselor, psychologist, law enforcement).

  HTML

  •2•0•0•0•Updated Sep 15, 2023Sep 15, 2023

• intro_to_rstudio

  Public
  This walkthrough is presented by the IMMERSE team and will go through some common tasks carried out in R.

  tutorialrstatslatent-variables+ 3structural-equation-modelinglatent-class-analysismplusautomation

  HTML

  •1•1•0•0•Updated Apr 6, 2023Apr 6, 2023

• interpret-aux-vars

  Public
  Interpret & Summarize Auxiliary Variables. Two examples provided including a distal outcome model with control covariate & a moderation model.

  1•0•0•0•Updated Feb 28, 2023Feb 28, 2023

• 3-Step-ML-auto

  Public
  This R tutorial automates the 3-step ML auxiliary variable procedure using the MplusAutomation package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters. To learn more about auxiliary variable integration methods and why multi-step methods are necessary for producing un-biased estimates see Asparouhov & Muthén (2014).

  mixture-modellatent-variablesstructural-equation-modeling+ 4mpluslatent-class-analysismplusautomationtutorial

  1•3•0•0•Updated Feb 27, 2023Feb 27, 2023

• BCH-MplusAuto

  Public
  This `R` tutorial automates the BCH two-step axiliary variable procedure (Bolk, Croon, Hagenaars, 2004) using the `MplusAutomation` package (Hallquist & Wiley, 2018) to estimate models and extract relevant parameters.

  tutoriallatent-variablesstructural-equation-modeling+ 4mplusmixture-modelslatent-class-analysismplusautomation

  0•1•0•0•Updated Feb 23, 2023Feb 23, 2023

• quick-lca-mplusauto

  Public
  Demonstrate the speed of running an LCA analysis using MplusAutomation

  tutorialmixture-modellatent-variables+ 4structural-equation-modelingmpluslatent-class-analysismplusautomation

  0•3•0•0•Updated Feb 21, 2023Feb 21, 2023