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Intro-to-LTA
Intro-to-LTA PublicForked from garberadamc/LTA-FAQ
Repository introducing the Latent Transition Analysis (LTA) model.
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mm4dber.github.io
mm4dber.github.io PublicGH pages repository to host MM4DBER materials as websites for sharing (PDF/HTML formats).
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Repositories
- mm4dber.github.io Public
GH pages repository to host MM4DBER materials as websites for sharing (PDF/HTML formats).
MM4DBER/mm4dber.github.io’s past year of commit activity - intro-to-rstudio Public
MM4DBER/intro-to-rstudio’s past year of commit activity - Intro_to_LPA Public
MM4DBER/Intro_to_LPA’s past year of commit activity - Intro-to-LTA Public Forked from garberadamc/LTA-FAQ
Repository introducing the Latent Transition Analysis (LTA) model.
MM4DBER/Intro-to-LTA’s past year of commit activity - auxiliary-variables Public Forked from immerse-ucsb/interpret-aux-vars
Interpret & Summarize Auxiliary Variables. Two examples provided including a distal outcome model with control covariate & a moderation model.
MM4DBER/auxiliary-variables’s past year of commit activity - 3-Step Public Forked from immerse-ucsb/3-Step-ML-auto
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).
MM4DBER/3-Step’s past year of commit activity - Intro_to_LCA Public Forked from immerse-ucsb/lca_enum
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).
MM4DBER/Intro_to_LCA’s past year of commit activity - dber-LSAY-math Public
MM4DBER/dber-LSAY-math’s past year of commit activity
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