In order to have data from your survey to analyze, you must have respondents complete and submit the survey. A foolproof way to achieve a high response rate to your survey is to keep it short and simple. Only ask questions whose answers are important to your research. Knowing how you plan to use the data collected will help you determine which questions to include.
Attempt to make a personal connection between you and the respondent.
Introduce yourself and state the importance of the survey and the data
you will be collecting and analyzing. If the person will benefit from
your research, tell them how. This information may compel the respondent
to take whatever time is needed to complete the survey.
Two other techniques used to increase the likelihood of respondents
to complete surveys are to put the easiest or least controversial questions
at the beginning of the survey and arrange questions of the same subject
matter together. Within the subject areas, group questions of the same
Use clear, specific wording when creating your questions. Don't ask
leading questions or make assumptions. You also don't want to ask questions
that require long answers.
Spend time considering the answers you provide. Several tips are:
Assure the respondent of the privacy measures you're taking. Who will
see his or her responses? Will their responses be used in data analysis
and not individually reported? Reassure them of the data transfer security
measures you're using.
Types of Questions
The most popular types of questions researchers use on surveys are multiple choice, ratings, scales (agree/disagree, excellent/poor) and short answer questions allowing either numeric or text answers. Some examples are:
Please rate the following components of the UT Connect CD in terms of their importance and value to you?
Agreement Scales: (agree-disagree or always/never scale - include "No Opinion" option)
Are you satisfied with the UT Connect CD ROM?
Numeric open end:
from UT Web Central Survey
Text open end:
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