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Total Survey Design
Dr. Azdren Coma and Dr. Seon Yup Lee
25 episodes
4 weeks ago
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/ htt...
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All content for Total Survey Design is the property of Dr. Azdren Coma and Dr. Seon Yup Lee and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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/ htt...
Show more...
Social Sciences
Education,
How To,
Courses,
Science
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The Four Sources of Survey Error
Total Survey Design
10 minutes
1 year ago
The Four Sources of Survey Error
In this episode of the Total Survey Design Podcast, we explore the four main sources of survey error through the engaging story of Mario, a local pizzeria owner aiming to conduct an ethical survey. We delve into coverage error, sampling error, measurement error, and non-response error, explaining how each can distort survey results. By using Mario's quest to honestly determine if his pizzeria is the best in town, we illustrate practical strategies for reducing these errors, offering listeners...
Total Survey Design
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/ htt...