Observational studies involve observing individuals without manipulation to gather data. Control groups are essential in experimental design to provide a baseline for comparison. Researchers must address biases like selection bias, information bias, and confounding factors to improve study validity.
Observational studies involve the observation of individuals, without any manipulation, to gather data on variables of interest. Examples include surveys and case-control studies.
Control groups are crucial in experimental design to provide a baseline for comparison, helping to eliminate biases and assess the true effects of a treatment.
Selection bias, information bias, and confounding factors are common biases that researchers face and must address in their studies to improve their validity and reliability.
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