Análisis factorial

Análisis factorial is a statistical method used to identify underlying patterns or factors that explain the relationships among many variables. Imagine you have several survey questions about feelings or opinions; this method helps determine if these questions are influenced by common underlying themes, like trust or satisfaction. It simplifies complex data by grouping correlated variables into fewer, meaningful factors, making it easier to understand the main drivers behind the data. Essentially, it uncovers hidden structures within a large dataset, providing insights into the key components that shape the observed variables.