The document discusses various types of advanced statistical analysis that can be performed on survey data, including correlation, principal components analysis, regression, and cluster analysis. Cluster analysis allows observations to be grouped based on similar characteristics, with the example showing Group B contains two subgroups and Group C contains observations that share the same characteristics.

1. www.domainname.comLogo Company 1
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2. YOUR QUESTIONS WILL BE CODED
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CODING OF QUESTIONS
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3. YOUR FORM WILL BE AVAILABLE TO FILL
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SURVEY FORM
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4. YOUR DATA WILL COLLECTED ALREADY CODED
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DATA COLLECTION
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5. YOU WILL GET A GRAPH FOR EACH QUESTION
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GRAPH OF RESULTS
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6. YOU WILL GET A CSV FILE WITH ALL THE ANSWERS CODED
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EXPORT OF RESULTS
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7. www.domainname.comLogo Company 7
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ADVANCED ANALYSIS

8. IT SHOWS WHAT VARIABLES ARE RELATED
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CORRELATION

9. DECREASE THE NUMBER OF VARIABLES
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PRINCIPAL COMPONENTS ANALYSIS

10. ADJUST LINE TO THE POINTS
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REGRESSION

11. GROUP OBSERVATIONS BY SIMILAR CHARACTERISTICS
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CLUSTER ANALYSIS
B
A
3
7
1
9
11
4
8
5
13C
6
12
2
This group has observation 1, 3 and 7.
5,8 and 13 have similar characteristics
to 4, 9 and 11.
Group B aggregagates 2 subgroups.
Group C have same characteristics.