Academic Webinar – Teaching Multivariate Methods: Factor Analysis and SEM

Real-world data can be highly multivariate, and students in statistics, data science, and the physical and social sciences should be equipped to analyze such data with appropriate multivariate statistical methods. JMP software can make learning multivariate methods more accessible and engaging to students through its interactive, no-code interface.

This webinar presents JMP tools and tips for teaching two common multivariate methods: factor analysis and structural equation modeling (SEM). Topics include:

• Multivariate data exploration
• Performing exploratory and confirmatory factor analysis
• Fitting structural equation models
• Relevant teaching tips and resources from the JMP Academic team

Get JMP free for academic teaching, learning, and research at www.jmp.com/student.