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Getting obsessed: A further look into multivariate analysis

In: Taking the Fear Out of Data Analysis

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Abstract

This chapter discusses interdependence methods of multivariate analysis. It starts by looking at factor analysis as a method for identifying common themes among a set of variables and exploring their underlying structure. Next, it examines principal components analysis as a method for data reduction and highlighted its key differences to factor analysis. Finally, it introduced cluster analysis as a method for grouping cases and illustrates its potential uses.

Suggested Citation

  • ., 2023. "Getting obsessed: A further look into multivariate analysis," Chapters, in: Taking the Fear Out of Data Analysis, chapter 14, pages 284-301, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:21883_14
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