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Total Survey Design
Dr. Azdren Coma and Dr. Seon Yup Lee
21 episodes
3 months ago
In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...
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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.
In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...
Show more...
Social Sciences
Education,
How To,
Courses,
Science
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The Target Population
Total Survey Design
7 minutes
1 year ago
The Target Population
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
In this episode, I talk about a survey I didn’t plan to analyze—one that popped up the moment I opened Microsoft Word. Microsoft asked for feedback, and well… I had some. I break down the flaws in their opening question, including directional bias, vague wording, and unlabeled scale points. I also reflect on how these design choices impact data quality and what could have been done better. It’s a reminder that even the most common surveys we see in the wild from even the biggest tech giants c...