IMMERSE Project

% IMMERSE Pre-Training Materials

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The Institute of Mixture Modeling for Equity-Oriented Researchers, Scholars, and Educators (IMMERSE) is an IES funded training grant (R305B220021) to support education scholars in integrating mixture modeling into their research.

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Day 1 (May 7, 2024): Introductions, training goals, introduction to data science

Learning Outcomes:

1. Fellows will be able to create a first draft of their equity-focused research goals that can be addressed with mixture modeling in the upcoming year.

2. Fellows will be able to identify how the IMMERSE training goals and opportunities can help them to apply mixture modeling training their research goals

Synchronous Activity:

• Slide deck here
• Workspace
• Synchronous Pretraining video May 7th

Asynchronous Activity:

• Activity 1: Thoughts on articles from expert consultants (starting on slide 14 of the Workspace slides)

• Activity 2: Create a draft of your research goals (starting on slide 18 of the Workspace slides]

• Activity 3: Preparation for Day 2:

  • Makes sure R, RStudio and Mplus are installed
  • If you are new to R, watch Parts 1 and 2 of our Intro to R IMMERSE video. Part 1 also goes over installation.

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Day 2 (May 10, 2024): Introduction to Data Science with R

Synchronous Activity:

• Slide deck here
• JamBoard
• Synchronous Pretraining video May 10th

Asynchronous Activity:

• Activity 1:
  • Watch Part 3 (no need to code along) of our Intro to R IMMERSE video.
  • Materials are here
• Activity 2:
  • Introduction to Git and Github: Just read Section 1 (Why Git? Why Github?)
  • Register a Github account (see Section 4)
  • If you’re feeling adventurous, try installing Github to Rstudio! (Don’t worry if not, we will get to it eventually). I have found this resource by Allison Horst to be most helpful in connecting your Github account to RStudio.
• Activity 3 (Optional):
  • How to make your R Markdown pretty!

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Day 3 (May 14, 2024): Introduction to tidy principles, data wrangling and exploration

Synchronous Activity:

• Slide deck here
• Live coding: Data wrangling GitHub Repository
  • Set up RStudio workspace in global options
• Synchronous Pretraining video May 14th

Asynchronous Activity:

Make sure Mplus is installed!

• Activity 1:
  • Connect your Github to your R Studio. Fork and clone today’s repository here
  • I have found this resource by Allison Horst to be most helpful in connecting your Github account to RStudio.
• Activity 2:
  • Read “Why don’t we share data and code? Perceived barriers and benefits to public archiving practices” (Gomes et al. 2022) and reflect on your coding and sharing practices and challenges, in preparation for a brief discussion in the synchronous session.
• Activity 3:
  • R practice (optional): Complete the rest of today’s code along GitHub Repository

Anonymous Feedback Survey

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Day 4 (May 17, 2024): Introduction to Mplus and Mplus Automation in R

Synchronous Activity:

• Slide deck here
• Live coding: Intro to MplusAutomation GitHub Repository
• Synchronous Pretraining video May 17th

Asynchronous Activity:

• Activity 1:
  • More R practice: Complete Part 3 in Intro to MplusAutomation
• Activity 2:
  • Logistic regression refresher article

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Day 5 (May 21, 2024): Introduction to Logistic Regression

Synchronous Activity:

• Logistic regression slides
• Github here

• Synchronous Pretraining video May 21st

• Welcome packet

Anonymous Feedback Survey

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Helpful Links:

• Please visit our website to learn more.

• Visit our GitHub account to access all the IMMERSE materials.

• Follow us on Twitter!

How to reference this workshop: Institute of Mixture Modeling for Equity-Oriented Researchers, Scholars, and Educators (2023). IMMERSE Pre-Training Workshop (IES No. 305B220021). Institute of Education Sciences. https://immerse-ucsb.github.io/cohort-one/pre-training

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