The National Survey of Student Engagement (NSSE) measures students’ engagement in their university education through questions that explore students' behaviors and experiences. The survey is administered at San Francisco State every three years, and the results are compared with the results at other CSU campuses and at other institutions in the same Carnegie Class. The Faculty Survey of Student Engagement (FSSE) measures faculty perception of students’ engagement in their university education based on faculty experiences teaching undergraduates.  Results from the 2017 administration of the surveys are posted below.  For results and analyses of earlier surveys, please contact San Francisco State's Office of Institutional Research.

NSSE 2017 Analysis & Reports:

NSSE Dashboard Notes:

  1. Several warning messages may be displayed when the workbook is opened. How do I handle these warnings? To disable the Security and Data Connection warnings, please click the [Enable Editing] button and [Enable Content].

  2. Can I use the pivot table on Mac or PC? What version of Microsoft Office is needed? The pivot table may be viewed on either a Mac or Windows computer. Mac users must use Microsoft Office 2016. PC users must use Microsoft Office 2010 or later.

Graduating seniors are given the opportunity to participate in the San Francisco State Senior Exit Survey at the time they apply for graduation.  The online survey about the SF State educational and campus experience consists of 40 questions, most with rating scale response options. 

Recent San Francisco State Senior Exit Survey reports are posted below.

San Francisco State Senior Exit Survey Reports:

The fall 2017 Students who Left Survey was a collaborative effort conducted by San Francisco State University’s First-Year Experience Team, the Office of Institutional Research, and the Office of Developmental Studies. The central goal of the study was to identify common factors which contribute to first-year students not retaining. View the PowerPoint Presentation below: