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!!!!!!!

• 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©

A Galileo™ Analysis

• 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

• 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***