Which of the following is NOT an effective strategy to minimize bias in sampling?

Explanation: Self-selection introduces significant bias because it relies on individuals' willingness or interest to participate, skewing results toward specific groups and compromising the sample's representativeness. To minimize sampling bias, the selection process must be random, inclusive, and systematic. Ensuring a comprehensive sampling frame, using randomization tools, applying appropriate techniques (e.g., stratified sampling), and adjusting sample sizes help achieve a fair representation of the population, reducing both selection bias and non-response bias. Option A: Ensuring a complete sampling frame reduces undercoverage, ensuring no group is inadvertently excluded. Option B: Random number generators eliminate human error and bias in selection. Option C: Stratified sampling addresses subgroup variability, providing accurate representation in heterogeneous populations. Option E: Larger sample sizes reduce sampling error and increase the reliability of analysis.