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Measuring Productivity: An Application of Principal Components Analysis

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About

This study uses Principal Component Analysis (PCA) to assess productivity within a workplace wellness program. It analyzes employee survey data, creating a productivity index that combines multiple workplace factors. The goal is to evaluate how these factors relate to productivity and the effectiveness of the wellness program.

Author(s)

David Molitor and Julian Reif

David Molitor
Associate Professor of Finance and Hewitt Faculty Fellow

Julian Reif
Associate Professor of Finance and Academic Director of Data Science Research Services

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