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Quant analytics: Statistical analysis of experimental data collected through a questionnaire with multiple answers

(Last Updated On: January 12, 2012)

Quant analytics: Statistical analysis of experimental data collected through a questionnaire with multiple answers.

In this multiple answers are allowed, so i am having more than one answer per sample. How the data should be treated and calculate statistical significant levels.

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Actually first things to do when you conduct the experiment is you have to decide what kind of design experiment that fits your problem. Design experiment will determine how your data will be analyzed. For your problem I personally haven’t get the whole picture.

 

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The format of the questionnaire is hiding the obvious… just treat each response option as it’s own dichotomous (selected / not selected) variable and you’ll have no problems with your analyses.

You can then look at between-group differences, correlations, perform cluster analyses… whatever best suits your business question.

 

 

 

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