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...
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...
Nonresponse Error. Part 1 - Why Response Rate Does Not Necessarily Predict Nonresponse Error
Total Survey Design
5 minutes
1 month ago
Nonresponse Error. Part 1 - Why Response Rate Does Not Necessarily Predict Nonresponse Error
This episode explains the important distinction between response rate and nonresponse error in survey research. Drawing on principles from Dillman et al.(2014), it clarifies that a high response rate does not necessarily mean low nonresponse error, and vice versa. Through two practical examples, the episode illustrates how systematic differences between respondents and nonrespondents -- not the number of responses -- determine the presence of nonresponse error. The episode emphasizes that eva...
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...
