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:

For those seeking to develop broad expertise within one or more key areas of research methods and statistics, these classes can also be combined into four curricular pathways.

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Livestream Workshops

We offer livestreamed workshops each spring (May-June) and winter (December-January).

Our livestreamed online workshops provide a similar experience to in-person training but with increased accessibility and enhanced resources (read more about the online experience). Livestreaming maintains a high level of engagement, increases global reach (allowing you to participate from anywhere in the world in comfort and safety), and lowers costs for participants relative to in-person workshops (lower tuition and no travel costs). And with lifetime access to recordings, you can catch up later if you miss part of a workshop or review material that you want to see a second time. Most livestreamed workshops now also provide evergreen content, meaning you get immediate access to any updates we make to recordings or other course materials for the life of the class.

All of our previously offered workshops are also available on demand for self-paced access. Registration provides lifetime access to all the same lecture recordings and course materials. Try it out with our FREE workshop, Introduction to Structural Equation Modeling!

Free Introduction to Structural Equation Modeling

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

Latent Curve Modeling

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

Multilevel Models for Hierarchical Data

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

Machine Learning for Classification Problems

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

Multilevel Models for Longitudinal Data

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

Introduction to Mixture Modeling and Latent Class Analysis

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

Analyzing Intensive Longitudinal Data

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

Modern Missing Data Analysis

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

Self-Paced Workshops

Set your own schedule by registering for self-paced access to recently conducted workshops. You will receive lifetime access to all course materials, including detailed course notes, lecture recordings, and all applicable software demonstrations (documentation, recordings, data, and code for all example analyses).

Free Introduction to Structural Equation Modeling

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

Mixture Modeling and Latent Class Analysis

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

Applied Measurement Modeling

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

Causal Inference

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

Multilevel Modeling

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

Applied Qualitative Research

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

Modern Missing Data Analysis

Length: Three Days
Instructor: Craig Enders
Lifetime Access: No expirations

Machine Learning: Theory and Applications

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

Sample Size Planning for Power and Accuracy

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

Network Analysis

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

Applied Research Design Using Mixed Methods

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

Introduction to Data Visualization in R

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

Longitudinal Structural Equation Modeling

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

Introduction to Quantitative Meta-Analysis

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

Analyzing Intensive Longitudinal Data

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

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. Additionally, livestream classes allow for real-time responses to participant questions. Overall, our participants agree that our instructional approach results in a high level of engagement and even (dare we say it) entertainment. 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 workshops to remain online rather than in-person.

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 lecture recordings, 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.

Enrollments in current workshops provide lifetime access to the recordings and other course materials. We are also transitioning classes toward provision of evergreen content, so that participants will always have access to our most current recordings and course materials, including any updates since they enrolled in the class.

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 both our Spring 2020 and Spring 2021 online workshops than we had taught in person in the prior 10 years combined.
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