- Home
- About Us
- Workshops & Seminars
- Software Help
- Software Access
- Spatial Analysis / GIS
- External Resources
3550 Rackham Building University of Michigan Ann Arbor, MI 48109-1070
more contact info
Intermediate Topics in SPSS:
Advanced Statistical Models
March 6 and 8, 2012
Brady West
Note: This is a 2-half-days companion workshop of "Intermediate Topics in SPSS: Data Management and Macros," and participants may register for one or both days.
This workshop is designed to provide experienced SPSS users (see prerequisites below) with hands-on exposure to more advanced data analysis topics in SPSS, using 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 Models / Hierarchical Linear Models, Nonparametric Analysis, and Reliability Analysis. There will also be time for an open discussion of participant issues with analyzing data in SPSS.
- Instructors
- Brady West Statistical Consultant for CSCAR.
- Audience
- Those using SPSS for Unix or Macintosh should phone the instructor at 734-764-7828 before enrolling.
- Prerequisite
- Coursework in linear regression analysis, or the equivalent of CSCAR's workshop on Regression Analysis. Experience using syntax in SPSS to perform data analysis and data management.
- Dates & Times
- Tuesday and Thursday, March 6 and 8, 2012; 1:00 PM - 5:00 PM
- Location
- Modern Language Building, Room 2001A
- Fees
-
- $180 for University of Michigan affiliated faculty, staff and students
- $400 for others
Registrations on or before Februray 21, 2012 - $215 for University of Michigan affiliated faculty, staff and students
- $500 for others
Registrations after February 21, 2012 Please make check payable to CSCAR-University of Michigan, or give the University of Michigan Project/Grant or shortcode to be billed. Send check to CSCAR, 3550 Rackham Bldg., University of Michigan, 915 E. Washington St., Ann Arbor, MI, 48109-1070.
- Registration
- Call CSCAR at 734-764-7828. Enrollment is limited to 24 participants.