Survey research is an efficient way of gathering data to help address a research question. The main challenge is developing reliable and valid measures and sampling representative data.
Survey design is critical in determining the quality of research. The potential for poor design is vast - whether intentionally on the part of the researcher or unintentionally. For example, watch this [http://www.youtube.com/watch?v=G0ZZJXw4MTA 2 min. episode of Yes, Minister] about politicians trying to get the poll results they want.
Before designing a survey, develop a research proposal which clearly explains the:
- research purpose
- research questions
- Research design: Experimental, quasi-experimental, non-experimental
- Sampling method
- Target constructs - operationally define the:
Have the research proposal peer reviewed and modify as appropriate. Before designing a survey, it is helpful, and generally recommended, to clearly establish a research proposal and to get this proposal peer-reviewed (and/or reviewed by a supervisor). Investment in developing the proposal is generally returned many-fold.
The seven Ps apply to survey design: Prior preparation and planning prevents piss-poor performance.
Poor research results and conclusions emerge from poor data, which is often due to poor survey design. Hence, a well-conducted survey research project should exhibit:
- clarity in the project's purposes (and specific research questions and hypotheses)
- careful development of well-worded questions with appropriate response formats and/or
- a well designed and implemented sampling method
Designing a survey 
Survey questions may be:
They may also be:
When designing the response format, it is critical to consider the level of measurement).
Choices of response formats include:
- semantic differential
- Likert scales
Initial draft survey 
- Create separate sections for each main purpose/research question/hypothesis
- Within each section, brainstorm ways data about topic/question could be obtained and draft items (questions) which you expect can provide a reliable and valid measure of the target constructs; items may also be obtainable from previous surveys. Start off with lots more possible questions/items (based on the operational definitions) than will actually be used; this way, you can cull and refine, using only the best items
- For each consider, brainstorm
- Add an informed consent statement, a coversheet, and an instructions page
- Get the draft survey critically reviewed by others, then redraft etc.
- Get assistance with high quality word-processing skills (if you don't have them) to tweak the essay so that it looks professional
- Pre-test the survey (on convenient others), redraft etc.
- Pilot test the survey (on target population), redraft etc.
- Use the survey in a major study
Survey structure 
- Cover letter
- Informed consent
- Ethics complaints
- Sections containing survey questions
- Personal details / demographics
- One section per major topic
- Debrief information
Types of surveys 
Types of surveys are:
- Hard copy
- Face to face
What are the strengths and weaknesses of the following modes of administration?
Hard-copy (paper and pencil)
Structured interviews: Face to face
Structured interviews: Telephone
Types of questions 
It is surprisingly difficult to develop a "good" survey question or item. Consider each of the following aspects of survey questions, their pros and cons, and with examples:
- Objective vs. subjective
- Close-ended vs. open-ended
- Leading and loaded questions
- Positive-, negative-, and double-negative-wording
Types of data 
Surveys can be used to collect:
Some commonly used response formats include:
- Dichotomous: e.g., Yes or No
- Multi-chotomous: e.g., Yes, No, or Maybe
- Multiple response: e.g., Tick all that apply
- Likert scale: Equally-spaced intervals, usually 3 to 9 intervals
- Graphical rating: Can mark any point on a continuous scale
- Semantic differential: Put two words at opposite ends of a scale with interval marks
- Idiographic: Use symbols/pictures instead of words and numbers
- For more info see: Rating scale (Wikipedia)
Jenkins and Dillman (1995) suggest these general self-report survey design principles:
- Use the visual elements of brightness, color, shape, and location in a consistent manner to define the desired navigational path for respondents to follow when answering the questionnaire.
- When established format conventions are changed in the midst of a questionnaire use prominent visual guides to redirect respondents.
- Place directions where they are to be used and where they can be seen.
- Present information in a manner that does not require respondents to connect information from separate locations in order to comprehend it.
Pre-testing and piloting a survey 
- Have a few people you know look over the survey and fill it out; ask for their feedback and suggestions and make relevant changes
- Pilot testing
- Arrange for a small group from the target population to complete the survey; analyse their responses, ask for their feedback, and make relevant changes
Several biases may influence the reliability and validity of results, including:
After designing a survey 
There are a dazzling array of possible sampling strategies. It is worth considering their strengths, weaknesses, and applicability to your specific situation:
- Random sampling
- Systematic random sampling
- Stratified sampling
- Clustering sampling
- Convenience sampling
In summary, a survey research project should exhibit:
- Clarity of research purposes, research questions and hypotheses
- Well-worded survey questions, using appropriate response formats and
- An appropriate sampling method
These recommended readings explain survey (questionnaire) design in more detail:
- Online articles
- Author unknown (nd). Smart survey design.
- Creative Research Systems (2008). Survey design: How to begin your survey project.
- Frary, R. B. (1996). Hints for designing effective questionnaires. ERIC Digest.
- Leung, W. (2001). How to design a questionnaire. Student BMJ, 9, 171-216.
- Pollograph (2008). Designing a survey.
- StatPac (c. 2007). Questionnaire design considerations.
- Book chapters
- Fowler, F. J., Jr. (2002). Designing questions to be good measures. In In F. J. Fowler, Survey research methods (3rd ed.) (pp. 76-103). Thousand Oaks, CA: Sage.
- Nardi, P. (2006). Developing a questionnaire (Ch 4). In Doing survey research: A guide to quantitative methods (2nd ed.). Boston, MA: Pearson. UC-eReserve
- Alreck, P. L., & Settle, R. B. (2004). The survey research handbook (3rd ed.). Boston: McGraw-Hill/Irwin.
- Backstrom, C. H., & Hursh-César, G. (1981). Survey research (2nd ed.). New York: Wiley.
- De Vaus, D. (2002). Surveys in social research (5th ed.) London: UCL Press.
- Dillman, D. A. (2007). Mail and internet surveys: The tailored design method 2007 Update with new internet, visual, and mixed-mode guide (2nd ed.). Hoboken, NJ: Wiley.
- Frazer, L., & Lawley, M. (2000). Questionnaire design & administration: A practical guide. Brisbane, Australia: John Wiley.
See also 
- Online surveys
- Survey design workshop
- Survey design introduction and overview presentation
- Survey research
- Human research ethics
- Survey design (Lecture)
- Jenkins, C. R., & Dillman, D. A. (1995). Towards a theory of self-administered questionnaire design.
- Spector, P. E. (1994). Using self-report questionnaires in research: A common on the use of a controversial method. Journal of Organizational Behavior, 15, 385-392.