The Department of Institutional Research (IR) in the Office of Institutional Effectiveness and Strategic Analytics (IESA) is the central data service unit at San José State University.
IR is dedicated to providing accurate, reliable, and timely information and research to support University decision making, and compliance with state, federal, district, and college requirements.
Together, the IR team boasts an impressive range of technical expertise and analytical capabilities that allow us to provide crucial support to the University. Our team has extensive experience working with higher
education data and are able to effectively interpret and present this data for the rest of the University and various external organizations.
IR facilitates institutional decision-making regarding enrollment, management, program evaluation, and academic planning at San José State University. We research, analyze, and report data regarding students, faculty, courses, and student outcomes, and perform survey research to help foster multiple facets of student and faculty success. Our reports about students, faculty, staff, and programs play an important role in operational, budgetary, and strategic planning of the university. We submit mandatory data and reports to federal, state, accrediting and external entities as well as the CSU Chancellor’s Office throughout the year. We also provide ad hoc reports requested by the university administration.
Examples of our working areas and work products:
- Integrated Postsecondary Education Data System (IPEDS)
- SJSU Common Data Set
- U.S. News Best Colleges annual survey
- College Board annual survey of colleges
- Peterson's annual surveys
- NSF-NIH Survey
- The Princeton Review
- College Board cost survey
- CGS/GRE Survey of Graduate Enrollment and Degrees
- WASC annual report and accreditation review
- CO reporting on admission, enrollment, and degrees
- CO reporting on Academic Planning Database (APDB)
- SJSU Student, Faculty, and Employee Quick Facts
- SOTE (Student Opinion of Teaching Effectiveness) Evaluations
- Program assessment and planning
- Department snapshots
- Department Required Data Elements
- Student Data Warehouse
- SJSU student and faculty surveys
IR provides institutional research and assessment support to SJSU's faculty and administration and coordinates certain data sharing with the CSU Chancellor's Office and selected external organizations. These include Educational Testing Service (ETS), Princeton Review, College Board, National Science Foundation (NSF), National Institute of Health (NIH), Wintergreen Orchard House, Peterson’s CollegeData, US News, Silicon Valley Business Journal, and American Society of Engineering Education (ASEE).
IR supports SJSU business-related inquiries for the purpose of improving institutional effectiveness. IR does not fulfill faculty data requests for the purpose of academic research, nor do we fulfill data requests from students. However, IR provided a wide range of institutional reports on our website about students, faculty, staff, courses and survey results. Everyone is welcome to use the data on our website to make reports and presentations about San Jose Staté University.
It is also important to note that for any ad-hoc data requests, IR can only provide aggregated data as to honor data privacy under the federal Family Educational Rights and Privacy Act (FERPA). We do not provide unit-level data except under some special circumstances. Requests for data about individual students, faculty, and staff should instead be directed to the Registrar’s office or University Personnel. For more information about what data the IR office can and cannot provide, please refer to our data sharing guidelines: Data Sharing Guidelines
Email: email@example.com for data requests, questions, or comments.
Note that IR tends to receive a large volume of data requests that can often be very time consuming to complete. We ask that advanced notice be given on any and all service requests:
- For small requests with less than 10 data elements, a two-week notice is needed before the request can be completed.
- For more complex requests with more than 10 data elements, a four week notice is required.
Advanced notice on requests is extremely important in allowing us to make sure we are able to support all clients by their requested due dates.