While it is impossible to eliminate all limitations, researchers can take steps to minimize their impact. Here are some strategies:
1. Use Random Sampling: This helps reduce selection bias by ensuring that all members of the population have an equal chance of being included. 2. Statistical Adjustment: Techniques like multivariable regression can help control for confounding variables. 3. Calibration and Validation: Using calibrated instruments and validated questionnaires can reduce measurement error. 4. Sensitivity Analysis: Performing sensitivity analyses can help assess how robust the study's findings are to potential biases. 5. Power Calculations: Conducting power calculations during the study design phase can help ensure an adequate sample size.
