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This episode of the Total Survey Design podcast demystifies the statistical technique of survey weighting (or post-stratification), explaining how it corrects sample imbalances by giving "quiet groups" more influence. The hosts define weighting, detail when it's an effective correction tool for probability samples, and provide practical advice on avoiding common pitfalls like over-adjustment that can hurt data precision.
Support the show
Find us online at: instagram.com/totalsurveydesign/
https://taplink.cc/totalsurveydesign
Contact us at: [email protected]
By Dr. Azdren Coma and Dr. Seon Yup LeeThis episode of the Total Survey Design podcast demystifies the statistical technique of survey weighting (or post-stratification), explaining how it corrects sample imbalances by giving "quiet groups" more influence. The hosts define weighting, detail when it's an effective correction tool for probability samples, and provide practical advice on avoiding common pitfalls like over-adjustment that can hurt data precision.
Support the show
Find us online at: instagram.com/totalsurveydesign/
https://taplink.cc/totalsurveydesign
Contact us at: [email protected]