Register for the #IESFunded Institute on Mixture Modeling, a one-year program for early career education researchers with virtual training in May 2023, in-person training June 5-7, 2023, and virtual mentoring from July 2023–June 2024. Applications are due January 15!

📢⏰Just 5 more days! Applications for the #MixtureModeling training fellowship are due January 15th. Don't hesitate, the application process is quick & easy. Apply here 👇 …-immerse-ucsb-edu-v01.pantheonsite.io/overview

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 👉immerse.education.ucsb.edu

⏰Just out! A #QuantCrit review... Ever feel hesitant about assuming populations are homogeneous? Consider #MixtureModels to understand heterogeneity! "Deeper than Wordplay: A Systematic Review of Critical Quantitative Approaches in Education Research" journals.sagepub.com/doi/full/10.31…

📈🤔 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

Ever thought about subpopulations of learners in your STEM research? Learn more on how mixture modeling can help identify these subgroups in our training opportunity mm4dbers.education.ucsb.edu U.S. National Science Foundation #mathed #dber #STEMeducation

We are happy to introduce the first cohort of IMMERSE fellows! IMMERSE is a training grant sponsored by the Institute of Education Sciences to support education scholars in integrating mixture modeling into their research.

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

📢Coming soon! Applications for the 2nd cohort of the U.S. National Science Foundation training program, `Mixture Modeling for Discipline Based Researchers` (MM4DBER) will be opening this Thursday *February 1st*. Learn more 👉mm4dbers.education.ucsb.edu/application #DBER #Science #STEMed #mathed #engineeringed #chemed

A free year of mixture model training & research support (with a stipend)….. Why not! check it out,

Calling all early career, discipline-based #ed researchers! Applications are open for mm4dbers, an U.S. National Science Foundation-funded mixture modeling training program to help fellows integrate mixture modeling into their research. Apps close Mar. 1: mm4dbers.education.ucsb.edu/mixture-modeli…

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

✨APPLICATIONS CLOSE IN 9 DAYS✨ Let's learn all things mixtures! ✅ #LatentClassAnalysis ✅ #LatentProfileAnalysis ✅ #LatentTransitionAnalysis ✅ #MplusAutomation

✨3 days to go! ✨Calling all early career, discipline-based education researchers! What is MM4DBER❔ An U.S. National Science Foundation-funded mixture modeling training program to help fellows integrate mixture modeling into their research. 👉Apps close March 1: mm4dbers.education.ucsb.edu/mixture-modeli…

Dr. Odeleye- "As a discipline-based education researcher committed to equity-centered research, this training has given me tools to be more critical in my research. Learning about latent class analysis (LCA) and applying it to my research... 🧵

✨2 days to go! Apply now 👉mm4dbers.education.ucsb.edu/mixture-modeli… ☑️ App. process is short ☑️ Includes stipend! ☑️ Learn advanced modeling ☑️ LTA, LPA, LCA, covariate/dist., moderation ☑️ Training in R, Mplus, & MplusAutomation ☑️ Learn from experts ☑️ 1 year of support for *your* research

Dr. Lizandra Godwin is an Assistant Professor of Electrical and Computer Engineering at the University of New Mexico. Dr. Godwin is looking to understand the factors that impact the matriculation of Latinas into Engineering graduate programs. Meet the 2024 #DBER cohort!

Dr. Brandon Yik is an Assistant Professor of Chemistry at the University of Georgia. Dr. Yik's research seeks to understand how student perceptions are influenced by different grading systems (traditional vs specifications grading)... 🧵⤵️ Meet the 2024 #DBER cohort!