April 2014 Member Webinar: Introduction to Structural Equation Modeling

by guest

Structural Equation Modeling (SEM) is a popular method to test hypothetical relationships between constructs in the social sciences. These constructs may be unobserved (a.k.a., “latent”) or observed (a.k.a., “manifest”).

In this webinar, guest instructor Manolo Romero Escobar will describe the different types of SEM: confirmatory factor analysis, path analysis for manifest and latent variables, and latent growth modeling (i.e., the application of SEM on longitudinal data).

We’ll discuss the different terminology, the commonly used symbology, and the different ways a model can be specified, as well as how to present results and evaluate the fit of the models.

This webinar will be at a very basic conceptual level; however, it is assumed that participants have an understanding of multiple regression, interpretation of statistical tests, and methods of data screening.

Note: This webinar is an exclusive benefit for members of the Statistically Speaking Membership Program.

About the Instructor

 

 

E. Manolo Romero Escobar is a Senior Psychometrician at Multi-Health Systems, Inc., a psychological test publishing company in Toronto.

Before working as a psychometrician, he worked extensively as a research and statistical consultant for faculty members, students at York University, and a variety of clients including health researchers, imaging clinics, educational institutions, and the Ontario government.

He has extensive expertise in factor analytical and latent-trait methods of measurement, as well as applications of linear mixed effects to nested, longitudinal, unbalanced data.

Manolo is passionate about the implementation of technology as an educational, learning, and training tool. He is an Excel, SPSS, and Mplus power user, and a supporter of the expanding use of the R language and environment for statistical computing.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar live, weekly live Q&A sessions, a private stats forum, 60+ recordings of past webinars (including this one), and more.

Leave a Comment

Please note that, due to the large number of comments submitted, any comments on problems related to a personal study/project will not be answered. We suggest joining Statistically Speaking, where you have access to a private forum and more resources 24/7.

Previous post:

Next post: