1 / 14

Conducting Surveys at Cornell University

Conducting Surveys at Cornell University. Marin Clarkberg, Associate Director Institutional Research and Planning Yasamin Miller, Director Survey Research Institute. Who We Are. Institutional Research and Planning (IRP)

markku
Download Presentation

Conducting Surveys at Cornell University

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Conducting Surveys atCornell University Marin Clarkberg, Associate Director Institutional Research and Planning Yasamin Miller, DirectorSurvey Research Institute

  2. Who We Are • Institutional Research and Planning (IRP) • Within the Division of Budget and Planning; goal to inform institutional decision-making • Administers regular, large-scale surveys to students and other University constituencies • Survey Research Institute (SRI) • Full service survey enterprise at Cornell • Designed, hosted, and analyzed hundreds of surveys for non-profit, government, corporate, and Cornell clients

  3. Rationales for surveys • Why do a survey? • Increasing call to have “real data” and to assess processes and outcomes • Looks easy (and inexpensive… and maybe even fun) • Why not do a survey? • Lots of data is already available • Survey fatigue • Not as easy at it might seem at first • Serious limitations on what survey data can actually tell you about processes and outcomes

  4. Why you shouldn’t:1. Data already exists • Everyone has some data… • Has existing data been thoroughly analyzed and understood? • In addition, the University archives an enormous amount data about students (and other constituencies) • Students’ academic records • IRP Surveys, other surveys

  5. Why you shouldn’t:2. Survey fatigue • Surveys are more common • IRP surveying regularly since 2000 • CIT-hosted surveys, e.g. WebSurveyor: • Over 1600 surveys in 2005-2006 • Survey response rates are down • Senior Survey response rates: 61% in 1998; 50% in 2002; 45% in 2006 • Student (staff, faculty) time is a university resource

  6. Why you shouldn’t:3. There is such a thing as survey expertise • Question design • Bad questions give you bad data • Instrument design • Respondents often bail out of unsatisfactory surveys • Sample design • Samples are often adequate to the task • Sampling saves all kinds of resources

  7. Why you shouldn’t:4. Survey research has major limitations • Ability to generalize with survey data a function of response patterns • Respondents may differ in important ways from nonrespondents • Surveys cannot demonstrate causation

  8. What are the alternatives to surveys? • Ransack existing sources of data • Multiple sources of data help “triangulate” • If nothing else, you can learn more about what you don’t know (and thus what remains to be learned) • Look at alternate modes of collecting data • Some questions better addressed with observation, focus groups, interviews, etc.

  9. So when is a survey appropriate? • Existing data is well-understood • Unanswered questions clearly identified • Scope of survey will minimize the imposition on respondents • As short as possible, asked to as few as possible • Appropriate survey expertise in involved in designing the study • Allow ample time for coordination, consultation, design and pre-testing • Shared understanding of study limitations • Start small and manage expectations

  10. How to Survey • Develop a reasonable timeline • Define your research questions • Design the survey instrument and sampling plan • Develop a data security plan • Notify and secure approvals • Data analysis and reporting

  11. 1. Develop a reasonable timeline • Putting questions on the web, collecting responses, and even data analyses are the easy parts • Having established a clarity of task, four to six months is not an unreasonable amount to develop and pre-test a survey instrument

  12. 4. Develop a data security plan • Anonymous DataIdentities of respondents are never captured • Fewer data security concerns • Impossible to know who responded (or how often) • Impossible to link survey data with other data sources • Confidential Data • Identities of respondents are kept, but secured • Necessary to have very secure file storage • Possible to link survey data to other data of interest

  13. 5. Notify and Secure Approvals • IRP Survey Calendar • Notification courtesy • Institutional Review BoardIf a project is “research” (i.e. develops or contributes to generalizable knowledge), it needs to be reviewed and approved by the IRB. • Data Stewards • Students: the Office of the Registrar • Student and Academic Services • SAS-Research Group

  14. Resources on campus • Find the help you need • Institutional Research and Planning (IRP) • Serves the University • Stewards of much existing student survey data • Available to consult with institutional studies (sampling plans, instrument design and review) • Survey Research Institute (SRI) • Comprehensive survey services from initial planning to data analysis and reporting • IRP uses SRI for survey hosting and administration • Institutional Review Board for Human Participants • First and last authority on mandated review requirements and processes – ask them.

More Related