Questionnaire Design for Social Surveys

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Below are the top discussions from Reddit that mention this online Coursera course from University of Michigan.

Offered by University of Michigan. This course will cover the basic elements of designing and evaluating questionnaires. We will review the ... Enroll for free.

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Taught by
Frederick Conrad, Ph.D.
Research Professor, Survey Methodology
and 1 more instructor

Offered by
University of Michigan

Reddit Posts and Comments

0 posts • 9 mentions • top 2 shown below

r/userexperience • comment
3 points • MFA_Nay

I can't offer you specifics about your exact situation but have you considered any free MOOCs like Questionnaire Design for Social Surveys by Maryland University? I know there's a lot of resources out there from the UX community but some of the academic-social-science lot have been doing questionnaires for decades. Plus filtering by university is a lot easier than filtering the large amount of UX bloggers, collectives, and mini-influencers you get.

Most users probably don't care about deep concepts. Instead of prototyping for real you could make an image mock-up depending on your envisioned prototype. Then compare to an image of your current product page/element your comparing to.

Generally constructing non-leading questions open-ended questions can be a bit tricky depending on the subject matter and your own research bias. Having another set of eye helps. Plus that helps with any jargon which creeps in which you should either change, get rid of, or include a (?) mini-circle tool tip as an explanation.

r/AskAnAmerican • comment
1 points • Adamworks

There is actually a really good primer on questionnaire design on coursera: https://www.coursera.org/learn/questionnaire-design

It is taught by some very prominent figures in survey research and I really enjoyed watching their videos.

In terms of techniques, I can think of two main ones as it relates to survey methodology and questionnaire design.

  1. You preface the question with a qualifier to make the behavior seem more acceptable and less taboo, e.g., "Some people own guns in the US for hunting, collecting or self-defense...", or you can preface with a reminder "As a reminder, you identity is protected and none of your responses will be tied to you in any way..."

  2. A more novel technique and one that I haven't actually seen in practice, is a second stage of randomization at the question level. You ask the participant to flip a coin, and say "If it is heads, please answer the question, 'Do you own a gun, yes or no?' and if it is tails,'Do you own a pet, yes or no?'". From there you can back out the probability of a respondent answering both questions and get an accurate estimate of gun ownership without ever knowing if any individual participant actually answered the gun question.

In terms of trends, assuming reluctance to self identifying as a gun owner is a constant over time, you can reasonable assume that a change you see in your estimate is a real change in gun ownership.

There are actual proxies from administrative data but I don't deal with them as much as I work mostly in primary data collection.