What is it about?
We show how to study relationships that unfold over time using continuous-time models. Our work introduces new ways to measure effect sizes and assess uncertainty, with open-source tools that make these methods easier to apply and compare across studies.
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Why is it important?
Most mediation studies use models that assume evenly spaced data, which is rarely the case in real research. Our work uses continuous-time methods to avoid this problem, introduces standardized effect sizes for easier comparisons, and provides open-source tools to make these methods widely usable. This helps researchers get more accurate insights into how processes unfold over time.
Perspectives
Working on this article was especially rewarding because it brought together my interests in methodology, computation, and applied research. I hope it helps make continuous-time modeling more approachable, showing researchers that these tools can be both rigorous and practical. More than anything, I hope others will find it useful in advancing their own work.
Ivan Jacob Agaloos Pesigan
The Pennsylvania State University
Read the Original
This page is a summary of: Inferences and effect sizes for direct, indirect, and total effects in continuous-time mediation models., Psychological Methods, October 2025, American Psychological Association (APA),
DOI: 10.1037/met0000779.
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