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SEM Series II: Latent Variables
February 28, 2018 @ 2:00 pm - 5:00 pm
Modern Languages Building (MLB), Room 2001B
This workshop will help participants develop skills in understanding and conducting latent variable models, with particular from the perspective of structural equation modeling. After a conceptual overview, a broad view of matrix factorization techniques will be provided along with specific examples (e.g. PCA, ‘factor analysis’). In addition, measurement error issues, reliability, and scale development will be discussed (e.g. ‘confirmatory’ factor analysis). Prerequisites: One should have a firm understanding of basic regression. R will be the program of choice, but nothing beyond very basic skill is assumed (e.g. import data, run a regression).
While this workshop can serve as a standalone session, the content is required knowledge for SEM III: Structural Equation Modeling.
NOTE: The $189 fee for U-M affiliates includes attendance in all three workshops in the SEM Series: SEM Series I: Graphical Models; SEM Series II: Latent Variables; and SEM III: Structural Equation Models.
To register for CSCAR workshops, call the CSCAR front desk at (734) 764-7828, or come to the office in person with payment (cash, check or a UM department shortcode):
9:00 a.m. – 5:00 p.m., Monday through Friday
Closed 12pm – 1:00 p.m. every Tuesday for staff meeting.
Voice: (734) 764-7828 (4-STAT from a campus phone)
Fax: (734) 647-2440
Consulting for Statistics, Computing and Analytics Research (CSCAR)
The University of Michigan
915 E. Washington St.
Ann Arbor, MI 48109-1070