Transcript Design, measurement, analysis and visualization in SyStat

Design, measurement,
analysis and visualization
in SyStat
Chong Ho Yu, Ph.D.
Instruction, Research and Infrastructure
Support
Arizona State University
March 28, 2000
What is the position of SyStat?
SPSS has specific modules for different
functions and purposes.
SyStat packs virtually everything into
one package.
Examples…
Design of experiment
SPSS’s Trial Run is made for DOE only.
Include Response Surface Design
Design of Experiment
SyStat has a built-in DOE module but is less
powerful.
For more info:
http://seamonkey.ed.asu.edu/~alex/teaching/WBI/tr.html
Missing Data Analysis
There is a plug-in for MDA
running within SPSS. The
method is Expectation
Maximization (EM).
SyStat has a built-in MDA
but is less powerful.
More info:
http://www.utexas.edu/cc/faqs/stat/
general/gen25.html
Other built-in features
Resampling Stat is specific for resampling
while SyStat has a built-in bootstrap function.
For more info:
http://seamonkey.ed.asu.edu/~alex/teaching/WBI
/resampling.html
Biolog is for analysis of Item Response
Theory while SyStat has a built-in tool for
that.
For more info:
http://seamonkey.ed.asu.edu/~alex/teaching/WBI
/measurement.html
Other built-in features
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SAS/Insight, JMP,
and DataDesk are for
data visualization
while multivariate
visualization is
embedded in SyStat.
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Function plot
A regression model is essentially a function.
Visualize multivariate relationships.
Can also be done in Mathematica and Maple,
but SyStat is easier.
Regression mesh surface (Dynamic explorer)
Contour
Moasic
Function plot
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Parallel Coordinate Display
Examine response pattern across
variables
Used to be conducted in BMDP
Diamond, but SyStat has this feature
Unstandardized PCD may not be useful
when the scales vary.
Parallel Coordinate Display
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Value
Value
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GPA
GREV
Index of Case
GREQ
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GPA
GREV
Index of Case
GREQ
New feature
Express Graph
Work with SAS 6.12
Use SAS statistical procedures but
SyStat graphics
Conclusion
One package for everything?
Good enough for students but
researchers still need specific tools for
different jobs.