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Institutional Research and Planning (IRP) has developed this guide to help you plan and create a Web-based survey that will provide you with useful and reliable results.

Guide to conducting surveys

The guide contains tips drawn from our survey experience and will help you design an effective survey, prepare your participant list, write convincing email invitations and  make the most of the resources available to you.

Clarify your survey鈥檚 objectives

The challenge consists of avoiding long questionnaires and thus including only those questions that will help you in making decisions. The length of your questionnaire could significantly affect your response rate and the proportion of incomplete surveys. A low response rate and a high incomplete rate increase the risk of obtaining biased results. According to some researchers, the questionnaire should not take more than 10 minutes to complete (Crawford, Couper and Lamias, 2001), while others set 20 minutes as the limit (Gunn, 2002).

First, draft your questionnaire in a Word document. This will give you a chance to reflect on the content and structure before getting into the more technical aspects of creating the survey.

Your questions should be formulated in simple and easy-to-understand terms. If you are unsure whether participants will understand your questions correctly, do not hesitate to try them out on a few people in your survey鈥檚 target group. 

It is also important to ensure a high quality of language, in both official languages. Grammatical errors tend to undermine the survey鈥檚 credibility and the University鈥檚 reputation in general. If necessary, you may contact the University鈥檚 Language Services to find out what resources are available and the cost for various services.

Here are a few practical suggestions for drafting your questionnaire:

  • Begin with short, easy鈥憈o鈥慳nswer questions. When possible, place the open鈥慹nded and more sensitive questions at the end of the survey (e.g., questions about income), to avoid discouraging respondents.

  • Avoid using too many open鈥慹nded questions. They can provide a wealth of information but they require considerable effort from respondents. They also produce results that are difficult to quantify and you will have to devote considerable time to analyzing them. 
  • Plan to use skip patterns so that respondents do not see questions that do not relate to them. For example, if you ask them if they are employed, make sure that only people who answer 鈥測es鈥 see the questions related to being employed.  
  • Make sure that the response options for multiple鈥慶hoice questions are mutually exclusive; in other words, there should be no overlap between the different options.
  • For greater clarity, divide your questionnaire into different sections, giving each a heading that reflects the themes covered. 
  • Consider other possible data sources in order to reduce the number of questions.

You are in the best position to judge the usefulness and relevance of your questions. However, IRP can review your questionnaire and send you its comments. If you are interested in this service, contact us at [email protected] or at 613-562-5954.

References

Crawford, Scott D., Mick P. Couper and Mark J. Lamias (2001), 鈥淲eb Surveys: Perceptions of Burden鈥,Social Science Computer Review, Vol.19 No.2

Hunn, Molly (2002), 鈥淲eb-Based Surveys: Changing the Survey Process鈥, First Monday, Vol.7 No.12.

Porter, Stephen R. and Michael E. Whitcomb (2004), 鈥淯nderstanding the Effect of Prizes on Response Rates鈥, New Directions for Institutional Research, Vol.121

Umbach, Paul D. (2004), 鈥淲eb Surveys: Best Practices鈥, New Directions for Institutional Research, Vol.121

Warriner, Keith, John Goyder, Heidi Gjertsen, Paula Hohner and Kathleen McSpurren (1996), 鈥淐harities, No; Lotteries, No; Cash, Yes:  Main Effects and Interactions in a Canadian Incentives Experiment鈥, Public Opinion Quarterly, Vol. 60