Introduction to Structural Equation Modeling
Structural equation modeling (SEM) is one of the most powerful techniques for analyzing data based on theory. This presentation will introduce and conceptually explain SEM and allow clinicians and researchers to understand the methodologies used in publications and better synthesize results across studies.
Dr. Pohlig is the Biostatistician for the University of Delaware’s College of Health Sciences. He possesses a degree in Research Methodology, with a primary focus on Statistics. He has participated in research from a wide range of fields including Health Sciences (Nursing, PT, Epidemiology, Dietetics, Clinical Trials), Psychology, Biomechanics, Social Work, and Law. His interests include Structural Equation Modeling, Mixed Modeling, Mediation and Moderation Analyses, and Study Design.
The Innovative Discoveries Series, sponsored by the Delaware Clinical & Translational Science ACCEL program and the Christiana Care Value Institute, features informal presentations on topics relevant to current research and healthcare practice, led by knowledgeable and experienced presenters. There are offerings for researchers, healthcare providers, and community members of varying levels of experience.
These free talks are held Fridays at noon at Christiana Hospital but can be viewed from your home or office computer. Earn CMEs by participating in-person or online. Lunch is served and all are welcome to attend.
To see the full calendar of events, visit the Value Institute Events page or the ACCEL website, or subscribe to the ID Series mailing list.
Contact Sarahfaye Dolman at sarahfaye.f.dolman@christianacare.org with any questions.