Office Hours: Free Video Tutorials

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Dan Bauer and Patrick Curran have recorded and posted 30+ brief video tutorials in a series we call Office Hours, covering a variety of topics in data analysis and hypothesis testing. There are three clusters of video lectures focused on linear regression, structural equation modeling, and growth modeling. There are also individual presentations on topics including the difference between mixture modeling and cluster analysis, how many clusters are needed to fit a multilevel model, introduction to latent class and latent profile analysis, among others. New videos are added as time allows and you can subscribe to our channel or follow us on social media to be alerted to new content. Please also feel free to contact us and suggest topics that you might find beneficial.

Livestream Workshops

Free Introduction to Structural Equation Modeling

May 8-10, 2024
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Latent Curve Modeling

May 22-24, 2024
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Multilevel Models for Hierarchical Data

May 29-31, 2024
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Machine Learning for Classification Problems

June 3-5, 2024
Instructor: Doug Steinley
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Multilevel Models for Longitudinal Data

June 3-6, 2024
Instructors: Dan Bauer & Patrick Curran
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Introduction to Mixture Modeling and Latent Class Analysis

June 10-11, 2024
Instructor: Dan Bauer
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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Analyzing Intensive Longitudinal Data

June 10-14, 2024
Instructors: JP Laurenceau & Niall Bolger
Lecture Recordings: Lifetime Access

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Modern Missing Data Analysis

June 12-14, 2024
Instructor: Craig Enders
Lecture Recordings: Lifetime Access
Evergreen Content: Materials Continually Updated

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