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Structural Equation Modeling I: Graphical Models

January 18 @ 2:00 pm - 5:00 pm

Modern Languages Building (MLB), Room 2001A

This workshop will help participants develop skills in understanding graphical models, and specifically from the perspective of structural equation modeling (SEM). After a general overview of concepts, regression approaches with observed variables will be demonstrated (path analysis), as well as mediation models in particular.  Alternative approaches and non-SEM settings will also be discussed. Prerequisites: One should have a firm understanding of basic regression estimation techniques.  R will be the program of choice, but nothing beyond very basic skill is assumed.

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:
January 18
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.