Why Measurement Matters
In the social, behavioral, and health sciences, we rarely observe the constructs we care about directly. Critically important constructs such as depression, quality of life,…
Category: Help Desk
What Makes Us Unique: A Message from Dan & Patrick
Welcome. Dan Bauer and Patrick Curran here. We are the founders of CenterStat, and we want to take a few minutes to briefly describe to…
The Strengths and Limitations of Time-Varying Covariate Growth Models
Growth models have long been a workhorse of longitudinal data analysis. Whether we are studying reading development across elementary school, depressive symptoms across adulthood, or…
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…
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…
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…
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…
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 s…
What are ROC curves and how are these used to aid decision making?
ROC curves are used to identify cut points on continuous measures at which to make binary decisions. An example is a depression screener used to ident…
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?
This post considers the unique features of intensive longitudinal data (ILD) relative to other more traditional data structures and how we can appropr…