Course Duration, Materials, and Cost
Each course will be three days in duration, application-oriented and the approach will be practical. Each day will start at 9:00am and run until 4:00pm with an hour for lunch. SPSS Training Course Guides, which include a training disk tailored to the specifics of each course, will be provided for each participant. Given copyright restrictions, these course guides must be purchased at a cost of $99.00 each. However, these materials will be purchased by Children's Research Center of Michigan (CRCM) so there will be no cost to those attending. In this regard, participants will have the course guide and course files to keep permanently as their own, have them available whenever needed, and the CRCM does not violate the copyright extended to SPSS, Inc. Participants are also encouraged to bring their own data sets. Time will be put aside each day for applied analyses with real-life data sets.
Maximum
Number of
Participants Per
Course
The
CRCM Conference
Room on the
third floor of
Children’s
Hospital of
Michigan (CHM)
can accommodate
a maximum of six
participants per
course, plus the
instructor.
Although
conducted as a
group course,
the smaller size
and setting for
the course allow
participants to
receive a
substantial
amount of
individualized
training and
attention.
Instructor
The
courses will be
provided through
the CRCM. Dr.
Ron Thomas (rthomas@crcm.med.wayne.edu),
the Center’s
biostatistician,
will be the
instructor for
these courses.
Computers
The
CRCM will
purchase seven
lap-top
computers to
conduct the
courses, one for
each participant
to use and one
for the
instructor. Each
computer can be
loaded with SPSS
for Windows,
SPSS
Professional
Statistics, and
SPSS Advanced
Statistics.
Currently, the
Department of
Pediatrics,
Wayne State
University, is
licensed to
distribute a
total of: 50
copies of SPSS
for Windows; 50
copies of SPSS
Advanced
Statistics; and
10 copies of
Professional
Statistics.
Eight copies of
both the basic
and advanced
packages have
been put on
reserve by the
CRCM in
anticipation of
making these
courses a
year-long
reality. In
addition, these
computers will
be available for
individuals
associated with
the Department
of Pediatrics
and the CRCM for
sign-out use
from the CRCM
when the classes
are not in
session.
Frequency
Each
course level
requires three
days in order to
cover adequately
the content.
Therefore, based
upon the
workload of the
instructor,
these courses
can reasonably
be offered twice
a month. Days
set for the
course can be
varied to meet
the scheduling
requirements
best fitting the
majority of
attendees. For
example, courses
can be conducted
Monday through
Wednesday or
Wednesday
through Friday
but must be run
continuously for
three
consecutive
days. Also, it
is anticipated
that these
courses will be
run year-round
to meet the
scheduling needs
of participants.
Quantifiable
Success
The
success of the
course can be
quantified in
several ways. As
always, an
important source
of quantifiable
feedback will
concern the
content and
execution of the
training
program. These
data are
naturally
gathered by
surveying
participants.
More
importantly, it
is expected that
individuals
completing these
courses will
have the
confidence and
skills necessary
to increase the
amount of
research
currently
conducted and
subsequently,
submitted for
publication.
This may
encourage some
to seek outside
sources of
funding for
their
investigations.
Therefore, the
CRCM is willing
to track the
number of
abstracts and
publications
generated by
participants.
Aside from
applied
individual use,
participants who
have attended
and completed
courses are an
excellent
departmental
source of
technical
knowledge for
training other
employees as
well.
EXPECTED
OUTPUT
COURSE
LEVEL I
Basic
Statistical
Analysis: SPSS
for Windows 8.0
Outcome
description:
In
this three-day
course,
participants
will focus on
the statistical
component of
SPSS. This is an
application-oriented
course and the
approach will be
practical.
Participants
will learn
several
statistical
techniques and
recognize
situations in
which they would
use each
technique, the
assumptions made
by each method,
how to set up an
analysis using
SPSS as well as
how to interpret
the results.
Who should
attend:
Anyone who had
worked with SPSS
for Windows and
wants to become
better versed in
the statistical
capabilities of
SPSS for
Windows. Anyone
who wants to
expand their
knowledge of
appropriate
statistical
procedures.
Duration:
Three
Days.
Cost:
None
to participants.
The CRCM will
underwrite the
cost of
purchasing the
manuals and
training disks.
Prerequisites:
Some
familiarity with
SPSS is helpful
but not
necessary,
though a basic
understanding of
purpose and
functions of
Windows
environment
software is
helpful.
Course
content:
Basic
statistical
concepts
Influence of
sample size
Data
checking
Describing
categorical
data:
frequencies
Comparing
groups:
crosstabs with
chi-square test
Exploring data
analysis:
interval scale
data
Mean
differences
between groups:
simple case with
t-test
One
factor ANOVA
Two
factor ANOVA
Bivariate plots
and statistics
Correlation and
scatterplots
Introduction to
linear
regression
EXPECTED
OUTPUT
COURSE
LEVEL II
Intermediate
Statistical
Topics: SPSS for
Windows 8.0
Outcome
Description:
In
this two-day
course,
participants
will have a
chance to
explore further
the capabilities
of SPSS in more
detail. This
course is
designed both as
a complement
course to the
Basics and as a
stand alone for
experienced
users who have
learned on their
own and now want
more formal
training.
Participants
will learn ways
to automate
their work,
manipulate data
files and
results, and
send output to
other Windows
applications.
Participants
will also learn
how to merge
data sets and
edit charts for
publication.
Who should
attend:
Anyone who has
worked with SPSS
and wants to
become better
versed in the
capabilities of
SPSS for
Windows. Anyone
who uses SPSS on
a regular basis
and wants to
know the most
efficient and
effective ways
to use the
software.
Duration:
Two
Days.
Cost:
None
to participants.
The CRCM will
underwrite the
cost of
purchasing the
manuals and
training disks.
Prerequites:
Experience with
SPSS for Windows
or completion of
SPSS Basics for
Windows course.
Within SPSS for
Windows 8.0 the
attendee should
be able to read
and label their
data, run basic
analysis
procedures
(frequencies,
crosstabs),
perform basic
data
transformations
(recodes), and
create charts
(barcharts). In
addition,
Intermediate
attendees should
be able to
maneuver among
the various
windows within
SPSS for Windows
(Data Editor
window, Viewer
window), and
perform basic
editing of pivot
tables and
charts using
SPSS.
Course
Content:
Different Ways
of Running SPSS
Automating SPSS
using syntax and
Production Mode
Filtering and
selecting cases
Recoding and
computing new
variables
Advanced data
modifications
Graph
templates and
charts
Customizing
Output in the
Pivot Table
Editor
Moving SPSS
results to other
software
Controlling the
SPSS Environment
Adding files to
compare groups
EXPECTED
OUTPUT
COURSE
LEVEL III
Advanced
Statistical
Topics: SPSS for
Windows 8.0
Outcomes
description:
The
material covered
in this
three-day course
consists of
several advanced
statistical
procedures
available in
SPSS Base,
Advanced
Statistics, and
Professional
Statistics
packages.
Participants
will learn the
most appropriate
frameworks in
which to apply
an advanced
statistical
technique
available in
SPSS, understand
the assumptions
underlying each,
and how to
correctly
interpret the
results, knowing
which portion of
the output
matters the
most.
Who should
attend:
Anyone who has
the desire to
fully explore
their data sets
with a powerful
set of
sophisticated
univariate and
multivariate
analytical
techniques.
Duration:
Three
Days.
Cost:
None
to participants.
The CRCM will
underwrite the
cost of
purchasing the
manuals and
training disks.
Prerequisites:
Experience with
SPSS Basic
statistical
techniques.
Participants
should have an
understanding of
the difference
between
descriptive and
inferential
techniques. Some
experience in
research
modeling is
helpful. For
users of SPSS
for Windows Base
System and SPSS
Advanced
Statistics.
Course
content:
Taxonomy of
Methods
Discriminant
Analysis
Logistic
Regression
Nonlinear
Regression
Survival
Analysis
(Kaplan-Meier)
Cluster Analysis
Factor Analysis
Loglinear
Analysis
Multivariate
Analysis of
Variance
Repeated
Measures
Analysis of
Variance
CRCM
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