Statistical Training Workshops

The Center for Statistical Training by Curran-Bauer Analytics, CenterStat, offers rigorous yet accessible training workshops in applied data analysis and research methodology that are explicitly targeted to empirical researchers in the social, behavioral and health sciences.

We place an equal balance on core aspects of the underlying statistical models and on the thoughtful application and interpretation of models fitted to real data using a variety of available software packages. Learn more about what makes our training unique.

Our workshops are available in two formats:

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Upcoming Livestream Workshops

In 2020, we transitioned all of our in-person training workshops to Livestream, enabling registrants to participate from the comfort and safety of their homes. The Livestream format maintains a high level of engagement, increases our global reach, and lower costs for participants (avoidance of travel costs and reduced tuition). Read more about the online experience.

Free Introduction to Structural Equation Modeling

May 10-12, 2021
Livestream via Zoom
Instructors:
Dan Bauer & Patrick Curran

Network Analysis

May 17-21, 2021
Livestream via Zoom
Instructor:
Doug Steinley

Multilevel Modeling

May 17-21, 2021
Livestream via Zoom
Instructors:
Dan Bauer & Patrick Curran

Latent Class/Cluster Analysis and Mixture Modeling

May 24-28, 2021
Livestream via Zoom
Instructors:
Dan Bauer & Doug Steinley

Applied Measurement Modeling

May 24-28, 2021
Livestream via Zoom
Instructors:
Patrick Curran & Greg Hancock

Applied Research Design Using Mixed Methods

June 3-4, 2021
Livestream via Zoom
Instructor:
Greg Guest

Longitudinal Structural Equation Modeling

June 7-11, 2021
Livestream via Zoom
Instructors:
Dan Bauer & Patrick Curran

Applied Qualitative Research

June 14-18, 2021
Livestream via Zoom
Instructors:
Greg Guest & Emily Namey

Introduction to Quantitative Meta-Analysis

June 15-18, 2021
Livestream via Zoom
Instructor:
Tasha Beretvas

Analyzing Intensive Longitudinal Data

June 21-25, 2021
Livestream via Zoom
Instructors:
Jean-Philippe Laurenceau & Niall Bolger

Machine Learning: Theory and Applications

June 21-25, 2021
Livestream via Zoom
Instructor:
Doug Steinley

Just-in-Time Workshops for Self-Paced Learning

When you enroll in a self-paced Just-In-Time Workshop, you will have access to the workshop for 6 months following registration.

Videos are not downloadable. However, each participant also receives access to detailed lecture notes, demonstration notes, and data and script files that can be downloaded and retained indefinitely. You will have access to all videos and additional files for download once you have registered.

Introduction to Structural Equation Modeling

Self-Paced Workshop
Instructors: Dan Bauer & Patrick Curran

The Online Experience

A number of different organizations offer statistical training workshops on advanced quantitative modeling approaches. However, we respectfully believe that we offer a variety of significant and unique advantages over these other training opportunities.

As described on each workshop page, we maintain interactivity with instructors during Livestreams and provide access to recordings, making it easier for people with busy lives or from different time zones to participate.

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Engagement

Let's face it, remote instruction can be dreadfully boring. That's why we've worked hard to ensure that our classes continue to be highly engaging. We select instructors based on both expertise and teaching excellence. Our Livestream classes also include a teaching assistant who ensures real-time responses to participant questions, and many classes break out into small-group sessions for software demonstrations. Our participants agree that these strategies have made our workshops engaging. Here's a summary of what participants said in over 700 evaluations of our online workshops from Spring 2020:

  • 99% said that our instructors lectured in a clear, knowledgeable, and engaging way.
  • 95% said that the live streaming platform was effective for remote learning.
  • 96% said they would take another class with us.
  • Over half of our participants were referred to us by a colleague.
  • The majority expressed a preference for future workshops to be online.

Sample Content

To get a sense of the online experience, view the example videos below of a CenterStat lecture and software demonstration:

Sample Lecture

Sample Software Demonstration

High-Quality Support Materials

A key component of our instruction is the provision of high-quality support materials including detailed course notes, multiple sample data sets, and comprehensive computer code written in a variety of commonly used software packages.

Because we are not affiliated with any commercial entity, we make no attempt to encourage the use of any single software package over any other but rather focus on the match between the capabilities of the software and the needs of the researcher.

In sum, although there are many alternative training opportunities in quantitative methods, we believe that we offer a superior training experience that will provide you with the practical tools to conduct your own research at the highest levels possible.

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Depth of Experience

Our instructors are leaders in the field, have demonstrated excellence in teaching, and bring exceptional expertise to each class:

  • We balance understanding the statistical foundations of a technique with its practical application.
  • Patrick and Dan are intimately involved in the development and teaching of all workshops, bringing award-winning teaching experience, extensive content knowledge, and an applied-research orientation to each course.
  • Many of our workshops are co-taught, providing participants with dual-perspectives on the course material and alternative explanations of similar concepts.

Global Outreach

  • Online training is more affordable and accessible, allowing us to reach a broader audience.
  • Participants can join the live stream from anywhere in the world, and view recordings to catch up on time zone differences or to accommodate busy schedules.
  • We taught more participants in our Spring 2020 online workshops than we had taught in person in the prior 10 years combined.
Participants