Purpose

The purpose of this video lecture is to discuss Structural Equation Models (SEMs) and how Structural Equation Modeling works in causal inference research.

Meet the Guest Speaker

Michael Neale, Ph.D.

Michael C Neale is the Banks Distinguished Professor of Psychiatry at Virginia Commonwealth University. He obtained his BSc and PhD degrees in Psychology at the University of London, where he also received postdoctoral training.

In 1986 he joined Virginia Commonwealth University, where he has collaborated with Drs. Lindon Eaves and Kenneth Kendler. In addition to his ~500 published articles, Dr. Neale is known for developing the structural equation modeling software Mx, and its subsequent open source R package, OpenMx. Currently, he is a site PI for the multisite Adolescent Behavior and Cognitive Development study (ABCDStudy(R)), which continues his research into neuroimaging genetics and the causal modeling of psychiatric disorders and substance abuse.

Video Lecture

The video lecture is broken into six parts: Structural Equation Models (SEMs), RAM algebra rules, Models (2 videos), causal modeling of twin data, mediation modeling and extension, and SEM software.

Please click each tab to watch each part of the video lecture.

Structural Equation Models (SEMs)
RAM Algebra Rules
Models
Causal Modeling of Twin Data
Mediation Modeling and Extension
SEM Software

Structural Equation Models (SEMs)

RAM Algebra Rules

ACE Path Models and Likelihood

ML Model Fitting

Causal Modeling of Twin Data

Mediation Modeling and Extension

SEM Software

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NOTE: Please click on the link below to download the video lecture slides:

Structural Equation Modeling and Causal Inference

Reading

Below is a paper you may be interested in reading regarding this topic:

Mitchell, M. A., & Maxwell, S. E. (2013). A comparison of the cross-sectional and sequential designs when assessing longitudinal mediation. Multivariate Behavioral Research, 48(3), 301-339. https://doi.org/10.1080/00273171.2013.784696