Quantification of Workers’ Multidimensional Well-Being and Participation Levels: New Approaches for Organizational Climate Measurement

• Master's degree thesis
• Candidate: Marta Magnani
• Degree course: M.Sc. Data Science and Economics (LM-91)
• Università degli Studi di Milano

Repository content:

This repository provides the codes implemented in the research project. Specifically:

• 1. Data preparation.R: data cleaning, data preparation, computation of composite measures
• 2. Descriptive stats.R: descriptive statistics, descriptive plots, outliers detection, correlation, non-parametric tests, box plots
• 3. CFA. R: survey reliability (Cronbach's Alpha), Confirmative Factor Analysis (CFA)
• 4. Shiny Dashboard.R: Shiny Dashboard code

R Shiny Dashboard

This research involved a complex survey dataset with many categorical variables and composite measures. Using a Shiny dashboard has proven invaluable since it allowed us to capture the full scope and nuances of the data. The Shiny dashboard offers a dynamic and interactive platform for data exploration, allowing for real-time adjustments and the customization of variables and parameters. This is especially beneficial for dissecting complex relationships and patterns within the data, such as interactions between various categorical variables or the internal consistency of composite measures.

Thesis leaflet