Session S65a (Wednesday, 9:30am, Thomas 201)

P706: Cluster analysis to simplify survey results

Scott Lewis (Kennesaw State University, USA)

Cluster analysis is a quantitative technique that employs an algorithm to group observations based on multiple measurable factors.  This technique is particularly useful when a large number of factors are available to describe a population of interest.  For example, administering a survey may result in multiple factors to describe each participant.  This presentation focuses on cluster analysis as a tool in chemical education research by demonstrating its utility in examining results from a learning styles survey administered to a population of general chemistry students.  Specifically, the presentation will showcase the decision making process in using this technique and the parsimony and fruitfulness of the resulting outcomes.  The presentation will close with alternative situations where cluster analysis may serve to promote chemical education research.

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