No need to learn #MplusAutomation alone! Check out the online course I teach packed with examples & resources. We cover most of the #LatentVariable models–– #FactorAnalysis, #LatentClassAnalysis, #GrowthModels, and many more #SEM models ⏩.

Thinking about diving into #MplusAutomation for the first time? Check out this quick video that highlights all the reasons why you should give it a try! 👇.

RT @mm4dbers: Dr. Brandon Yik is an Assistant Professor of Chemistry at the University of Georgia. Dr. Yik's research seeks to understand h….

RT @mm4dbers: Dr. Lizandra Godwin is an Assistant Professor of Electrical and Computer Engineering at the University of New Mexico. Dr. God….

RT @mm4dbers: ✨2 days to go! Apply now 👉☑️ App. process is short.☑️ Includes stipend!.☑️ Learn advanced modeling….

RT @mm4dbers: Dr. Odeleye- "As a discipline-based education researcher committed to equity-centered research, this training has given me to….

RT @mm4dbers: ✨3 days to go! ✨Calling all early career, discipline-based education researchers! . What is MM4DBER❔ An @NSF-funded mixture m….

RT @mm4dbers: ✨APPLICATIONS CLOSE IN 9 DAYS✨ Let's learn all things mixtures! .✅ #LatentClassAnalysis.✅ #LatentProfileAnalysis.✅ #LatentTra….

Learn #MplusAutomation using #Rstats! The course is tailored to researchers new to R, Mplus, & latent variable models 👇.

RT @ECRhub: Calling all early career, discipline-based #ed researchers! Applications are open for @mm4dbers, an @NSF-funded mixture modelin….

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RT @mm4dbers: 📢Coming soon! Applications for the 2nd cohort of the @NSF training program,. `Mixture Modeling for Discipline Based Researche….

RT @mm4dbers: Ever thought about subpopulations of learners in your STEM research? Learn more on how mixture modeling can help identify the….

This is cool- will use for for my class- I am lecturing (for the first time) a graduate course on logistic regression @GGSEucsb!. Does anyone have any cool #rstats resources for presenting & visualizing #LogisticRegression results (e.g., 📦's, tutorial examples)?.

RT @IMMERSE_UCSB: We are happy to introduce the first cohort of IMMERSE fellows! IMMERSE is a training grant sponsored by the Institute of….

📈🤔 Agree or disagree?. Latent class analysis (LCA) is an analytic tool which takes qualitative information (i.e., dichotomous observations) and uses a quantitative model to produce qualitative inferences (i.e., nominal latent classes). #Measurement #MixtureModel #Education.

RT @IMMERSE_UCSB: ⏰Just out! A #QuantCrit review. Ever feel hesitant about assuming populations are homogeneous? Consider #MixtureModels….

Join leaders in mixture modeling methods Drs’ Karen Nylund-Gibson, Marsha Ing, & Katherine Masyn, in a training fellowship. We will cover #LCA, #LPA, #LTA, #Rstats, #MplusAutomation, & covariate/distal integration! . Apply 👉

RT @IMMERSE_UCSB: 📢⏰Just 5 more days! Applications for the #MixtureModeling training fellowship are due January 15th. Don't hesitate, the a….

RT @IESResearch: Register for the #IESFunded Institute on Mixture Modeling, a one-year program for early career education researchers with….