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.

Self-Paced Workshops

Free Introduction to Structural Equation Modeling

Length: Three Days
Instructors: Dan Bauer & Patrick Curran
Lifetime Access: No expirations
Evergreen Content: Continually updated

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Latent Curve Modeling

Length: Three Days
Instructors: Dan Bauer & Patrick Curran
Lifetime Access: No expirations
Evergreen Content: Continually updated

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Longitudinal Structural Equation Modeling

Length: Five Days
Instructors: Dan Bauer & Patrick Curran
Lifetime Access: No expirations

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Multilevel Models for Longitudinal Data

Length: Four Days
Instructors: Dan Bauer & Patrick Curran
Lifetime Access: No expirations
Evergreen Content: Continually Updated

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Multilevel Models for Hierarchical Data

Length: Three Days
Instructors: Dan Bauer & Patrick Curran
Lifetime Access: No expirations
Evergreen Content: Continually Updated

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Modern Missing Data Analysis

Length: Three Days
Instructor: Craig Enders
Lifetime Access: No expirations
Evergreen Content: Continually Updated

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Introduction to Mixture Modeling and Latent Class Analysis

Length: Two Days
Instructor: Dan Bauer
Lifetime Access: No expirations
Evergreen Content: Continually Updated

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Mixture Modeling and Latent Class Analysis

Length: Five Days
Instructors: Dan Bauer & Doug Steinley
Lifetime Access: No expirations

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Applied Measurement Modeling

Length: Four Days
Instructors: Patrick Curran & Greg Hancock
Lifetime Access: No expirations

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Causal Inference

Length: Five Days
Instructor: Doug Steinley
Lifetime Access: No expirations

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Applied Qualitative Research

Length: Five Days
Instructors: Greg Guest & Emily Namey
Lifetime Access: No expirations

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Machine Learning for Classification Problems

Length: Three Days
Instructor: Doug Steinley
Lifetime Access: No expirations
Evergreen Content: Continually Updated

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Machine Learning: Theory and Applications

Length: Five Days
Instructor: Doug Steinley
Lifetime Access: No expirations

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Sample Size Planning for Power and Accuracy

Length: Three Days
Instructor: Samantha Anderson
Lifetime Access: No expirations

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Network Analysis

Length: Five Days
Instructor: Doug Steinley
Lifetime Access: No expirations

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Applied Research Design Using Mixed Methods

Length: Two Days
Instructor: Greg Guest
Lifetime Access: No expirations

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Introduction to Data Visualization in R

Length: Four Days
Instructor: Michael Hallquist
Lifetime Access: No expirations

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Introduction to Quantitative Meta-Analysis

Length: Four Days
Instructor: Tasha Beretvas
Lifetime Access: No expirations

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Analyzing Intensive Longitudinal Data

Length: Five Days
Instructors: J-P Laurenceau & Niall Bolger
Lifetime Access: No expirations

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