Factor Loading

Factor loading is a statistic that shows how strongly a specific variable is related to an underlying factor or theme, like a hidden pattern in data. Imagine a survey measuring different traits; a high factor loading indicates that a particular trait strongly reflects the underlying factor, such as overall happiness. Conversely, a low loading suggests the trait isn’t closely connected. It helps researchers understand which variables best represent or relate to the core factors they’re studying, providing insight into the structure of complex data sets.