Observational data refers to information collected without any manipulation or intervention by the researcher. This type of data is gathered through observing subjects in their natural environment, making it essential for understanding real-world phenomena, especially when experimental designs are not feasible. It plays a crucial role in causal inference, as it helps estimate relationships and effects between variables, though it comes with challenges such as confounding and biases.
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