Dynamic SEM for Intensive Longitudinal Data: An Introduction with Dan McNeish скачать в хорошем качестве

Dynamic SEM for Intensive Longitudinal Data: An Introduction with Dan McNeish

Learn more and register: https://statisticalhorizons.com/semin... Sign up for our newsletter to get updates: https://statisticalhorizons.com/conta... This first hour of Dan McNeish's "Dynamic Structural Equation Modeling" (DSEM) seminar lays the groundwork for working with intensive longitudinal data. About this Seminar This seminar will introduce Dynamic Structural Equation Modeling (DSEM), a cutting-edge framework that blends multilevel modeling, structural equation modeling, and time-series analysis. DSEM is especially useful when dealing with intensive longitudinal data, which consist of frequent, repeated measurements of individuals over time. This offers researchers detailed insights into dynamic processes and variability within subjects. You'll learn how to model latent outcomes, test mediation over time, and analyze dyadic data like couples or coworkers. The seminar highlights how DSEM expands beyond traditional models by capturing nuanced, moment-to-moment dynamics. It’s ideal for researchers in academia, government, or industry seeking to better understand and model intensive longitudinal data using advanced statistical techniques. Learn more and register: https://statisticalhorizons.com/semin... 🔔 Don't forget to subscribe to our channel for more statistical content and updates! #DynamicStructuralEquationModeling #StructuralEquationModeling #MultilevelModeling #TimeSeriesAnalysis #LatentVariableModeling #IntensiveLongitudinalData #LongitudinalData #StatisticalHorizons