Structural equation modeling (SEM), also known as an analysis of covariance structures, is a broad data-analytic framework with versatility and unique capabilities. SEM establishes the efficiency of a model created while testing hypothetical relationships among theoretical constructs and relationships between the constructs and their observed indicators. SEM is a more technical and complex technique when compared to conducting regression models. Common challenges and mistakes that scholars may face include omitting variables, ignoring lower-order model components, and/or making incorrect decisions about the model being well-fitted.

This four-part webinar series will provide the skills to conduct different types of structural equation models and how to avoid common mistakes. Participants will receive handouts and fictional datasets for each webinar to practice the skills being taught during and after the webinar.

Each webinar is approved for 1.5 hours of CFLE continuing education credit. Taking all four webinars would result in 6 hours of CFLE continuing education credit.

Webinar dates: July 31, 2023 11:00am - August 29, 2023 12:30pm CT

Fee: $29/$79 for NCFR student members, $49/$139 for NCFR members & CFLEs, $89/$249 for nonmembers & non-CFLEs