How do you address potential biases related to nonrandom sampling in public opinion surveys?

Sample interview questions: How do you address potential biases related to nonrandom sampling in public opinion surveys?

Sample answer:

Addressing Potential Biases Related to Nonrandom Sampling in Public Opinion Surveys

  • Stratified sampling: Divide the population into subgroups based on relevant characteristics (e.g., age, race, gender) and randomly sample within each subgroup.
  • Quota sampling: Determine the desired proportions of different characteristics in the sample and recruit participants to meet these quotas.
  • Weighting: Adjust the results of a nonrandom sample to represent the true population distribution by applying weights based on known population characteristics.
  • Increase sample size: Enlarging the sample size can mitigate the effects of biases, especially when using nonprobability sampling methods.
  • Use multiple sampling methods: Combine different nonrandom sampling methods (e.g., stratified and quota sampling) to capture a more diverse range of the population.
  • Conduct pilot studies: Test the effectivenes… Read full answer

    Source: https://hireabo.com/job/7_3_32/Public%20Opinion%20Analyst

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