Random Sampling Employing random sampling techniques can help ensure that every individual in the population has an equal chance of being selected. This minimizes selection bias and enhances the representativeness of the sample.
Stratified Sampling In stratified sampling, the population is divided into subgroups (strata) based on specific characteristics. Samples are then drawn from each stratum, ensuring that all important subgroups are adequately represented in the study.
Use of Standardized Protocols Adopting standardized protocols for data collection, measurement, and analysis can minimize variability and error, thereby improving sample quality.
Pilot Studies Conducting pilot studies can help identify potential issues in the study design and data collection methods, allowing for adjustments to improve sample quality before the main study is conducted.
