In this episode, Christian Geiser and I embark on a journey to uncover the complexities and applications of SEMs, a statistical method that often flies under the radar at typical biostatistics conferences yet holds significant potential in research, particularly within psychology and social sciences.

How do SEMs differ from traditional statistical methods?
What makes them so valuable in dealing with measurement error and complex variable relationships?

Join us as we explore these questions and more, shedding light on a tool that is both powerful and underutilized.

We also discuss the following key points: