The Galileo Method

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The Galileo Method
An Overview of Galileo™
Software and Analysis
Galileo™ vs. the Likert Man
• Galileo™ uses
unbounded distance pair
relationships.
• Galileo™ uses MDS to
make a “map” of the data
space.
• Galileo™ uses
DESCRIPTIVE statistics
for data analysis.
• Likert Scales use
bounded relationships.
• Likert Scales are used to
segregate data into
clusters or groups.
• Likert Scales are used
primarily for
INFERENTIAL statistical
data analysis.
Galileo Uses alternative data collection methods (Likert, Multiple
Choice, Open Ended, etc.) to segregate and differentiate SEGMENTS
of data.
Concept Measurement
• Galileo™ uses LABEL or CONCEPT
relationships.
• Galileo™ uses a COMPLETE LIST of labels to
generate the COMPLETE PAIRS.
• N = Total Number of Concepts or Labels
• Pn = Number of Unique Concept Pairs
• Pn = (N * (N-1)) / 2 : N=20, Pn = (20*19)/2 or
190 Unique Concept Pairs where AB=BA
• AB = BA : The distance relationship between
concepts are SYMETRICAL!!!!!!!
A Galileo™ Analysis
• The closer two concepts are, the more
related they are to each other.
• The farther two concepts are, the less
related they are to each other.
ThoughtView™ and Jacob’s Ladder©
• ThoughtView™ is a 3D Display of the Data
• Jacob’s Ladder© is a 3D Animated Display
What to Expect for Data
• Open Ended Questions – CatPac™
Dendogram Content Analysis Output
• Galileo Label Comparisons – Galileo™
Coordinate file for ThoughtView™ and a
Jacob’s Ladder© VRML display File.
• Demographic Questions – Statistical
distributions based on the specific
demographic.
Special Case Data
• Paper Surveys – All Paper based surveys
will be going through BRENDA and she
will discuss with you what and how you will
get what you get.
• Surveys with Days of the Week – You
will receive 7 coordinate files and multiple
Jacob’s Ladder© files with animation and
still display.
What is Expected in Results
• Define and outline what you see without
giving an opinion.
• State the Facts.
• Identify clusters, patterns and proximities.
• Specify significant statistics as well as
insignificant ones.
• Diagrams, Visual Presentations, Data Sets
Discussed
What is expected in Discussion
• Outline other research that may further
analyze what you are studying.
• Summarize the results of your study.
• Discuss potential Implications of the data.
• Suggest alternative research methods or
questions / labels to better answer the
problem you pose.
Things NOT TO DO
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Follow this presentation outline to the letter.
Follow the e-mail descriptions to the letter.
Inferences
Forget to Put your GROUP NAME, ALL GROUP
MEMBER NAMES and PERSON NUMBERS on
your paper.
• ***IF YOU DO NOT PUT ALL NAMES and
PERSON NUMBERS ON THE PAPER THEN
ONLY THOSE LISTED WILL GET A GRADE***
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