Path Analysis is a statistical technique used to understand the relationships between variables in a model. It helps researchers identify direct and indirect effects of one variable on another, allowing for a clearer picture of how different factors influence outcomes. This method is often visualized using a diagram that represents the paths of influence among variables. In Path Analysis, each path is assigned a coefficient that indicates the strength and direction of the relationship. By analyzing these coefficients, researchers can determine which variables have the most significant impact and how they interact with each other, aiding in decision-making and hypothesis testing.