The goal of the NPSAS study is to identify institutional, student, and family characteristics related to participation in financial aid programs. Federal policymakers use NPSAS data to determine future federal policy concerning student financial aid. With these data, it is possible to analyze special population enrollments in postsecondary education, including students with disabilities, racial and ethnic minorities, students taking remedial/developmental courses, students from families with low incomes, and older students. The distribution of students by major field of study can also be examined. Fields of particular interest are mathematics, science, and engineering, as well as teacher preparation and health studies. Data can also be generated on factors associated with choice of postsecondary institution, participation in postsecondary vocational education, parental support for postsecondary education, and occupational and educational aspirations.
It is important that statistical analyses be conducted using software that properly accounts for the complex sampling design of NPSAS. NCES developed software tools for analysis of complex survey data: for instance, QuickStats allows users to generate simple tables and graphs quickly, and PowerStats allows researchers to generate more complex tables and run linear and logistic regressions. Beginning with the NPSAS:96 collection, data can be analyzed with PowerStats. The Data Analysis System (DAS) may be used for analyses using NPSAS data prior to 1995–96. For information on other software packages and statistical strategies useful for analysis of complex survey data, see appendix K of the 2015–16 National Postsecondary Student Aid Study (NPSAS:16) Data File Documentation Report (Wine et al. 2018).