Mixture and Growth Mixture Modeling

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ACCEL Tech Talk Seminar Series: "Mixture and Growth Mixture Modeling: Identifying Homogeneous Groups Within a Heterogeneous Sample"
Ryan Pohlig
University of Delaware
August 6, 2020
  1. DE-CTR ACCEL
  2. DE-CTR
  3. ACCEL
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Mixture and Growth 1:10:24

Mixture and Growth Mixture Modeling

What are Growth 0:09:11

What are Growth Mixture Models?

Growth Mixture Modeling: 0:06:51

Growth Mixture Modeling: Mplus Syntax

Growth Mixture Model: 0:12:52

Growth Mixture Model: Mplus Output Explained

What's the difference 0:10:38

What's the difference between mixture modeling and cluster analysis?

Mixture and Group-Based 0:23:14

Mixture and Group-Based Trajectory Models - Part 1

Latent growth models 0:07:08

Latent growth models

MIXTURE Modeling in 0:09:52

MIXTURE Modeling in Mplus

What are Latent 0:18:05

What are Latent Growth Curve Models?

Latent Growth Model 0:08:33

Latent Growth Model using R (Introduction and Walkthrough)

Mplus Workshop (Day 0:01:00

Mplus Workshop (Day 5/5, Session 3/4): Latent Growth Models as SEM

Mixture models: latent 0:20:38

Mixture models: latent classes

Tutorial: Model-based clustering 0:14:31

Tutorial: Model-based clustering (using the library mclust)

Growth models for 0:59:26

Growth models for longitudinal data

EM.1: Introduction to 0:02:33

EM.1: Introduction to mixture models

15 Clustering and 0:26:56

15 Clustering and Mixture Models

Mixture models: taste 0:14:56

Mixture models: taste heterogeneity

Factor Mixture Model: 0:09:52

Factor Mixture Model: Mplus Syntax

Practical: Latent growth 0:48:24

Practical: Latent growth modeling

Analyzing Latent Growth 0:17:45

Analyzing Latent Growth Curve Models in Mplus

Factor Mixture Model: 0:13:53

Factor Mixture Model: Mplus Output

Mixture and Group-Based 0:20:34

Mixture and Group-Based Trajectory Models - Part 2

Avoiding Local Maxima 0:07:05

Avoiding Local Maxima in Mplus Mixture (Latent Class) Modeling

Variational Inference of 0:01:45

Variational Inference of Nonparametric Mixture Model

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Dear Prof. Ryan Pohlig,
I enjoyed watching this video. I need your support in deciding the best model to use for an ordinal categorical data collected at two points in time (baseline and end-line).
Thanks,
Fantu A. (PhD student)

fantuabebe
Автор

Would it be possible to share the slides through a link? It's often blurry and it would be very helpful to be able to read properly, especially for the syntax example! Thank you so much for making this presentation available. - another PhD student :)

melissa