So YOU Want to Survey Cornell Students...
For a pdf version of the document, click here.
Besides the Office of Institutional Research and Planning (IRP), many individuals and groups on and off of our campus conduct surveys of Cornell students. The number of invitations to participate in on-line surveys is increasingly dramatically. Perhaps as a consequence, survey response rates are declining.
If you are interested in surveying Cornell students, please consider the following:
- 1. Do you really need to conduct a survey?
- 2. Develop a reasonable timeline
- 3. Define your research questions
- 4. Design of the survey instrument
- 5. Review by the IRB may be necessary
- 6. Selecting the sample
- 7. Incentives
- 8. Collecting data: data security
- 9. Analyzing and reporting the results
- 10. Resources at Cornell University
1. Do you really need to conduct a survey?
Cornell University regularly administers large surveys to undergraduate students at various stages during their years at Cornell. Those questionnaires and many results are available on the IRP survey website for your review.
The data we collect are archived and can be used to evaluate a wide variety of questions relevant to campus life and student development. IRP can help you consider ways in which the available data can address your questions. For more information about this, contact Marin Clarkberg (mec30@cornell.edu) or Marne Einarson (mke3@cornell.edu).
You may also want to consider alternative methodologies for collecting relevant data such as focus groups and face-to-face interviews. These approaches have important advantages and may be a better choice than a survey if you are exploring a topic about which relatively little is known (in which case, it would be difficult to develop appropriate survey questions) and/or you would like to elicit candid, in-depth information.
2. Develop a reasonable timeline
It is easy to type survey questions into web survey software, and bulk emails can be sent out with the click of button. That should not imply, however, that a quality survey can be turned out quickly. Give yourself ample time—four to six months is not unreasonable—to develop a questionnaire that makes sense and is not overly burdensome on the respondent in terms of survey length and difficulty. Survey instruments should be “pre-tested” on a small number of subjects from the population of interest, and revised on the basis of their feedback. In addition, you will need to allow time for your project to be reviewed by various constituents with the University, for the printing or programming of your instrument, and the actual dissemination of the survey to its intended respondents. A survey that meets a tight deadline by cutting corners may miss the overall objective of providing one with useful data.
Surveys should probably not be administered during periods of peak workloads, or during vacations or holidays. In general, more surveys are run during the spring semester than during the fall, so it might be advantageous to look to field a survey in the fall.
Check the Calendar of Campus Surveys to minimize respondent survey fatigue and potential conflict with other surveys. Contact Marne Einarson (mke3@cornell.edu) to have your survey added to this calendar so that others can work around it.
3. Define your research questions
While this may seem too obvious a step to mention, it is a critical part of the research process. Take the time to clearly define the research questions you want to address. Check in with colleagues and relevant decision-makers to elicit their thoughts on important questions to address. Review the literature on your topic to see how questions have been framed by other researchers, and what related issues or themes should be taken into consideration when exploring this topic. The ERIC (Ovid) database which is accessible through the “Databases” tab of the Cornell University Library Gateway is a good place to begin a search for literature on higher education topics. Professional associations affiliated with your area of practice also often maintain links to current literature in the field.
4. Design of the survey instrument
The content of the survey stems directly from your research questions. Still, much care is needed to develop survey questions that will effectively and efficiently elicit the information you want. Ideas for specific survey questions can come from existing instruments, colleagues, members of the target population (collected via focus groups or interviews), and your own observations. It is important to balance adequate coverage of your research questions (comprehensiveness) with conciseness. Avoid the temptation to include questions that may provide interesting but not particularly useful results. Also, consider whether some of the data you want is available through other sources such as institutional files.
Surveys should begin with a statement that clearly explains:
- The purpose of the survey
- That participation in the survey is voluntary
- The respondent can skip questions he/she would prefer not to answer
- Whether responses provided will be treated as anonymous or confidential data
- How information from the survey will be reported and used
When composing survey questions, here are some general guidelines to bear in mind:
- Survey questions should not be “leading” or contain jargon or technical terms that may not be understood by all respondents
- Response categories should reflect a comprehensive array of choices, including “not applicable,” “don’t know” and/or “other” where appropriate
- Limit the use of open-ended questions; as much as possible, position these at the end of the survey instrument
- Short surveys generate more responses and minimize the imposition on the valuable resource of our students' time
- Surveys that skip respondents over questions that are not relevant feel shorter and more pertinent to the respondent
Survey methodologists specialize in the construction of survey questions and their response categories. Consider having someone with survey design expertise review your survey instrument. Links to Cornell resources are provided at the end of this document. As mentioned earlier, it is very important to pretest your survey instrument with a subset of your target population. This provides a critical test of the clarity, comprehensiveness and length of your survey.
5. Review by the Institutional Review Board may be necessary
If your survey can be considered “research,” it needs to be reviewed by the Institutional Review Board for Human Participants (IRB) at Cornell. This process may take two weeks or longer.
Broadly speaking, research is “an activity designed to test an hypothesis, permit conclusions to be drawn, and thereby to develop or contribute to generalizable knowledge (expressed, for example, in theories, principles, and statements of relationships)” (from The Belmont Report: Ethical Principles and Guidelines for the Protection of Human Subjects of Research).
In general, surveys related to academic course requirements (i.e., theses, dissertations) and surveys that produce data that will be presented at or published in off-campus venues will require IRB review and approval.
Contact the IRB for further information.
6. Selecting the sample
It is not necessary to survey an entire population in order to have valid, generalizable results. A random sample will do the job while minimizing costs—including the costs of survey fatigue. Consider that many excellent national polls and studies include only 1,000 individuals from across the entire country. If you need help determining an appropriate sample size for your project, you may contact IRP for assistance. Texts on survey research design provide guidelines for setting sample sizes; sample size calculators are also available on the Internet.
The University Registrar controls access to lists of students. The Registrar can select a random sample, and maintains a website to manage requests for student email addresses. You can place a request for student data by using the “Special Requests” link on the Registrar’s web site. You must provide information concerning the purpose of your request, and the criteria you want the Registrar to use in drawing your sample. In your survey planning process, figure in sufficient time to compile the list of people you will invite to participate in your research. The Registrar requires a minimum of one week’s notice for data request.
7. Incentives
Many campus surveys offer respondents the chance to be entered into a raffle drawing for prizes. Gift cards and personal electronic devices are common prizes. The literature on survey methodology suggests that these kinds of incentives have a modest impact, increasing the response rate slightly.
Surveys that offer incentives to respondents must track respondent identities in some way. If identifying information (such as names, e-mail addresses, or student identification numbers) are kept with the survey responses and confidentiality is promised to respondents, the study needs some security protocol for keeping the data safe (see next item).
8. Collecting data: data security
Survey respondents need to be told if their responses will be anonymous, kept confidential, or are entirely non-confidential.
Anonymous data do not include names, addresses, student identification numbers or any other personal information that would make it possible to associate a response with any given individual.
Data that are confidential contain information that may identify an individual respondent. There are significant advantages to collecting identifiers, including the ability to do “pre and post” studies through linked data files. However, files containing individual identifiers must be stored with considerable attention to data security and access. If you plan to collect confidential data, contact IRP for more information on developing a security plan.
9. Analyzing and reporting the results
Before you begin your survey, develop a plan for analyzing the data and reporting the results. How will you use the data you collect? With whom will your results be shared? In what format will results be shared – as visual presentations, written or electronic reports?
At a minimum, most reports of survey results provide a full set of frequencies for each question. Cross-tabulations of responses across subsets of respondents are also useful, although care must be taken to protect the privacy of individuals’ responses. A general rule of thumb is not to report results for categories containing five or fewer respondents. Remember that survey results cannot be presented or published beyond Cornell University without IRB approval.
Consider how you might share your results with others on campus who are interested in related questions. By sharing your findings widely, you can not only enlighten the campus community about your work, but you may also be able to head-off a new data collection effort. The Student and Academic Services Research Group welcomes a copy of any reports or presentations built from student survey data. Contact Marne Einarson, mke3@cornell.edu, 254-5034, for more information.
10. Resources at Cornell University
Institutional Review Board for Human Participants
This site contains information about Cornell’s IRB policies, a decision tree to help determine whether your research will require IRB review and approval, and forms to request approval for research.
Cornell Institute for Social and Economic Research
CISER provides support to social science researchers at Cornell, including access to and assistance in using statistical software packages and social science datasets.
Survey Research Institute
SRI provides a full range of survey research services from study design to data collection and analysis.
Office of Institutional Research and Planning
IRP regularly conducts surveys of students, alumni and parents of enrolled students. At this site, you can access the survey instruments used, data tables and summary reports of survey results.
Cornell Information Technology WebSurveyor
CIT offers WebSurveyor, a Windows application for creating web-based surveys.
Statistics in the Community (STATCOM)
STATCOM is a nationwide community outreach program which offers free statistical consultation to non-profit organizations. At Cornell, students from the Department of Statistical Science provide this service.
Cornell University Library Gateway
This site is a portal to Cornell University’s holdings, including access to electronic databases such as the Education Resources Information Center (ERIC) collection. From the Gateway url, select “Databases,” then “Education” from the Social Sciences Subject Area, and then select “ERIC (Ovid)” from the list of databases.
For More Information Contact:
Marin Clarkberg
mec30@cornell.edu
607-255-9101
Marne Einarson
mke3@cornell.edu
607-254-5034
