The Galileo Method An Overview of Galileo Software

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. Thought. View™ and Jacob’s Ladder© • Thought. View™ is a 3 D Display of the Data • Jacob’s Ladder© is a 3 D Animated Display

What to Expect for Data • Open Ended Questions – Cat. Pac™ Dendogram Content Analysis Output • Galileo Label Comparisons – Galileo™ Coordinate file for Thought. View™ 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***