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Structural Equation Modeling II: Latent Variables

February 2 @ 2:00 pm - 5:00 pm

Modern Languages Building (MLB), Room 2001A

This workshop will help participants develop skills in understanding and conducting latent variable models, and specifically 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.  While this workshop can serve as a standalone session, it is required for SEM III: Structural Equation Modeling.

Registration

To register for CSCAR Workshops, call the CSCAR front desk at (734) 764-7828 or come to the office in person with cash or check or a UM department shortcode:

OFFICE HOURS

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

ADDRESS

Consulting for Statistics, Computing and Analytics Research (CSCAR)
The University of Michigan
3550 Rackham
915 E. Washington St.
Ann Arbor, MI 48109-1070

Details

Date:
February 2
Time:
2:00 pm - 5:00 pm
Event Category:
Event Tags:
,

Other

Prerequisite
Researchers in any field interested in such models, particularly those of the social sciences. Statistical knowledge required includes being comfortable with standard linear regression models.
Class size
24 Participants (1 per computer)
U-M Affiliated Fee
63
Not U-M Affiliated Fee
147
Register
Presenters
Michael Clark is a statistical consultant for CSCAR.