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Fitting General Linear and Mixed-Effects (Multilevel) Models in SPSS®

May 22 @ 1:00 pm - 5:00 pm

|Recurring Event (See all)
May 24, 25

Modern Languages Building (MLB), Room 2001A

This three-half-days (May 22, 23, 24) workshop is designed to provide experienced SPSS users (please read prerequisites below carefully) with hands-on exposure to more advanced modeling techniques in SPSS, using IBM SPSS for Windows.

The workshop will cover the following topics at a moderate pace: General Linear Models, Repeated Measures Analysis of Variance (ANOVA), Linear Mixed (Multilevel) Models, and Generalized Linear Mixed Models. Participants will be able to work in small groups or individually on practice exercises, and there will also be time for an open discussion of participant issues with fitting models in SPSS.

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:
May 22
Time:
1:00 pm - 5:00 pm
Event Category:
Event Tags:
,

Other

Prerequisite
Coursework in linear regression analysis, or the equivalent of CSCAR’s workshop on Regression Analysis, is required. A strong working knowledge of how to interpret the results of linear regression analyses will be assumed. Experience using syntax in SPSS to perform data analysis and data management is also required, as syntax will be frequently discussed. Please phone the instructor with any questions about these prerequisites.
Class size
24 participants, 1 per computer
U-M Affiliated Fee
$189
Not U-M Affiliated Fee
$420
Register
Presenters
Brady West is a Research Associate Professor of Survey Methodology at the Institute for Social Research (ISR), and a statistical consultant at CSCAR.