Difference between revisions of "Kundalini Profile Survey Analysis"

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== Conduct comparative factor analysis ==
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== Factor Analysis and Dimensionality Reduction ==
== Composite score creation ==
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=== Conduct comparative factor analysis ===
== Analyze relationships between composite variables ==
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=== Composite score creation ===
 +
 
 
== Cluster analysis ==
 
== Cluster analysis ==
 +
 
== Open text cross-validation ==
 
== Open text cross-validation ==

Revision as of 13:02, 19 September 2016

All analysis documented on this page is being done by the Emerging Sciences Foundation's Kundalini Data Insights team. The complete source code for all analysis can be found on the Kundalini Discover project page in GitHub.

To participate in the Kundalini Experimental Project and contribute important research data, please visit the Kundalini Experimental Project page on the ESF website.

Summary Information

To date 338 people from all walks of life and from across the globe have participated in the Kundalini Profile Survey. There has been broadly an equal participation from men and women, although there were slightly more women who took part. People of all ages have taken part in the survey with the majority of respondants being around the age of 30.

Number of Survey Participants
Sex of Survey Participants
Age of Survey Participants



Factor Analysis and Dimensionality Reduction

Conduct comparative factor analysis

Composite score creation

Cluster analysis

Open text cross-validation