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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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...
In this episode, we discuss the target population. We emphasize the importance of a well-defined target population, in context of the goal of your survey, and in relation to your sampling frame. We offer examples of target populations of various studies, and offer suggestions for the types of variables that you may want to consider when thinking about your target population. Support the show Find us online at: instagram.com/totalsurveydesign/ https://taplink.cc/totalsurveydesign Contact...
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...
