May 8, 2008
Instructor: Laura Klem
This and the companion workshop (Multivariate Techniques - Logistic Regression and Related Techniques) are designed to teach participants a) about the logical and statistical basis for a set of techniques and b) how to carry out analyses using statistical software
SPSS. Participants
may register for one or both days.
Multivariate Techniques: Data Reduction (Instructor: Laura Klem)
introduces factor analysis, non-metric multidimensional scaling, cluster
analysis, and assessment of scale reliability. The
workshop includes lecture and hands-on
computer work for each of the three data
reduction techniques.
Instructor:
Laura Klem is a Senior Research Associate with CSCAR. Her CSCAR
responsibilities include extensive consulting on multi-dimensional
scaling, path analysis, structural equation models, factor analysis, and
cluster analysis.
Audience:
Researchers in applied fields who may encounter data
suitable for multivariate techniques.
Prerequisite:
Introductory statistics, experience with computers running Windows 95, 98, NT, or 2000.
Provisions:
Enrollees receive lecture notes, a bibliography, and
example computer package commands and output. Morning refreshments
provided. Break time for lunch (lunch not provided); many restaurants
nearby.
Date:
Thursday, May 8, 2008
Time:
9:00 - 5:00 p.m. Break time for off-site lunch (lunch not
provided).
Location:
Rackham
Bldg, 3rd floor, East Seminar Room
Fee:
Registration until April
24, 2008:
$150 for University of Michigan affiliated faculty, staff
and students
$325 for others.
Registration after April 24, 2008:
$180 for University of Michigan affiliated faculty, staff
and students
$390 for others.
Sign up for "Logistic Regression" on May
7, 2008, and receive a discount:
$250 for University of Michigan registrants until April
23;
$300 after April 23 (for both workshops)
$600 for non-UM registrants until April 23;
$720 after April 23 (for both workshops)
Fees can be paid by check or billed to a University of Michigan short code.
Registration:
Call CSCAR at 734-764-7828. Enrollment is
limited. Make check
payable to CSCAR--University of Michigan, or give the University of
Michigan Account to be billed. Send check to CSCAR, 3550 Rackham Bldg.,
University of Michigan, 915 E. Washington St., Ann Arbor, MI 48109-1070.
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