
Welcome to Questionnaire Design Boot Camp: An Introduction to Survey Writing.
Takeaways
The survey design process has a lot of steps that need to be completed BEFORE collecting data (as shown in Groves’ Survey Lifecycle diagram).
Aday’s “who+what+where+when+why” formula can help you to create clear, concise research questions.
Takeaways
1. Key considerations when choosing a mode:
Interviewer administered vs self administered?
Use of technology?
Channel of presentation of questions?
Topic of survey?
Respondents?
Takeaways
The Response Process Model assumes people go through 5 stages in responding to a survey question (although it is not a clean and linear process).
Ideally, all your respondents will understand your question in the same way.
Takeaways
Facts are theoretically verifiable by external observation or records.
Recall can be an issue with factual questions: information may not be encoded, respondents may retrieve partial or generic information, or they may have forgotten.
Short, simple questions can help to improve recall.
Takeaways
Attitudinal questions can ask about opinions, feelings or predictions.
Context effects are always present – as a questionnaire designer, think about how to minimize their impact.
Takeaways
Both socially undesirable and socially desirable topics can be sensitive.
In general, self-administered modes get more accurate reports on sensitive questions.
To improve respondent comfort levels, consider:
Assuring confidentiality
Minimizing cognitive burden
Using unfiltered questions
Using loaded wording
Takeaways
Survey questions can be open ended, closed ended, or scaled.
Benefits of open ended questions: Allow respondents to be creative or bring up new topics; avoid bias from response options or scales; can be a check on data quality.
Watch out for primacy and recency bias.
Takeaways
1. Key considerations around scales:
How many scale points? Odd (includes midpoint) or even (no midpoint) number of scale points?
Bipolar (very dissatisfied to very satisfied) or unipolar (not at all satisfied to very satisfied)?
Numeric (1-10) or verbal labels (Excellent, good, fair, poor)?
Include “don’t know?” “Prefer not to answer?”
2. Some research recommends 7-point bipolar and 5-point unipolar scales
Takeaways
Key components of a questionnaire:
a. Introduction: tell respondents who you are and what you’re doing.
b. Screener: make sure you’re talking to the right people.
c. Logical modules
d. Thank you!
Start with easy questions; ask complex or sensitive questions late in a questionnaire.
This class is for anyone who wants to know what other people think, feel, or do! Maybe you want to understand what design features your customers want from your product, why people are buying from your competition, or what your employees are saying about you.
Basic survey research is a common tool, but most people never learn the key principles. Survey design is an art and a science-- better surveys get better data, which help you make smarter decisions. This class will prepare students to write effective questionnaires.
Students should be prepared with an idea for research they want to conduct using a survey. The class will begin with understanding your research aims and writing questions to meet these aims. Specific modules offered include: asking about sensitive topics (drinking! drugs! mean thoughts!); picking the right scale (numbers, letters, labels?); and avoiding pitfalls (more common than most people realize). Lectures will include basic theory but will focus primarily on "real world" examples.
Key Takeaways:
Upfront Work: Steps that need to be completed BEFORE collecting data.
Start With the End in Mind: Aday’s “who+what+where+when+why” formula for clear research questions.
How You'll Do It: Key considerations when choosing a survey mode.
Thinking Through Questions: The 5 stages of the Response Process Model.
Beyond Questions: Things to remember when selecting a scale
Putting it all together: Questionnaire layout