Workshops
Enroll in one or more workshops below or purchase training credits now to use toward future enrollments (handy if you want to purchase now but choose later, e.g., given time-limited funds, or if you want to "bulk purchase" now and allocate to trainees later).
Enrollment in any workshop provides lifetime access to all course materials, including detailed course notes, lecture recordings, and applicable software demonstrations, all designed to support self-paced learning. Get ideas for what to take next by considering our four curricular pathways.
News & Updates
Understanding the Bootstrap
In modern research, one of the most fundamental challenges is uncertainty. Whenever we collect data, whether from surveys, experiments, or observational studies, we want to make claims not only about the specific sample we observe but about the broader population it represents. Doing this requires tools for statistical inference, and central to inference is the concept of a sampling distribution....
Discover the Power of Qualitative Research
CenterStat Launches Four New Applied Workshops In a world overflowing with data, it’s easy to assume that numbers tell the whole story. But while quantitative data can show what is happening, it rarely explains why. That’s where qualitative research comes in—offering the rich, nuanced insights needed to truly understand human behavior, decision-making, and the social and cultural contexts that shape...
Why CenterStat is the Best Choice for Online Statistics Training
In today’s data-driven world, statistics isn’t just a tool: it’s a necessity. Whether you’re a researcher, graduate student, data analyst, or academic professional, high-quality statistical training can dramatically advance your skills, open doors to new opportunities, and make stronger scientific contributions to society. But with countless online providers offering statistics workshops and courses, how can you decide which one is...
How CenterStat Workshops Empower Researchers at Every Level
In the ever-evolving world of scientific research, having the right analytical tools—and the confidence to use them—is essential. At CenterStat, we understand that researchers face complex questions that demand rigorous methods and practical, real-world applications. That’s why our workshops are designed not just to educate, but to empower. Whether you're a graduate student stepping into your first research project or...
CenterStat Announces the Availability of Training Credits
We are pleased to announce that both individuals and organizations can now purchase CenterStat Training Credits using existing resources that can be applied toward future enrollments in any of our workshops. Credits are denominated in US dollars and are redeemable for up to five years from purchase, so purchasing credits is a great way to convert time-limited funds into an...
What is a suppressor variable, and how does this differ from confounding and mediation?
A constant source of confusion within the multiple regression model (and the general linear model more broadly) relates to the terms suppression and suppressor variable. Indeed, it is not uncommon to see suppression invoked anytime some unanticipated or inexplicable finding is obtained that must be explained away. This is particularly evident when a strongly hypothesized relation is not found: The...
What are ROC curves and how are these used to aid decision making?
One of the most vexing challenges in all of statistics is the need to make a valid and reliable probabilistic assessment about some unknown condition or state of affairs based solely on information gathered from sample data. Indeed, this is the foundation of traditional null hypothesis testing: there is some unknown condition in the population (the null hypothesis is either...
What exactly qualifies as intensive longitudinal data and why am I not able to use more traditional growth models to study stability and change over time?
Recent years have seen increasing interest in the collection and analysis of intensive longitudinal data (or ILD) to generate unique insights into within-person processes and change over time. In this post, we first define ILD by contrasting it to data obtained from other common longitudinal designs. Next, we consider the distinct features of ILD that we must address and can...
What’s the best way to determine the number of latent classes in a finite mixture analysis?
Finite mixture models, which include latent class analysis, latent profile analysis, and growth mixture models, have grown greatly in popularity over the past decade or so. Most statistical models assume a unitary (or homogeneous) population wherein all observations are governed by the same basic process. In contrast, finite mixture models aim to identify latent subgroups within the population, sometimes referred...
My advisor told me to use principal components analysis to examine the structure of my items and compute scale scores, but I was taught not to use it because it is not a “true” factor analysis. Help!
Help, indeed. This issue has been a source of both confusion and contention for more than 75 years, and papers have been published on this topic as recently as just a few years ago. A thorough discussion of principal components analysis (PCA) and the closely related methods of exploratory factor analysis (EFA) would require pages of text and dozens of...
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