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.
Speaker/Topic: Dina Arch - Data Visualization for Latent Class Analysis
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Speaker/Topic: Michael Furlong
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Speaker/Topic:Amy Bellmore
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Speaker/Topic: Ryan Grimm
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Speaker/Topic: Danielle Harlow
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Helpful Links:
Please visit our website to learn more.
Visit our GitHub account to access all the IMMERSE materials.
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