This paper demonstrates the application of common statistical methods to evaluate the dimensionality, reliability, generalizability, and potential biasing factors of the student assessment of instruction (SAI) instrument used at Florida Atlantic University. Findings indicated: (1) factor analysis uncovered just two factors, one describing instruction effectiveness and one describing workload/difficulty; (2) reliability of the class-average response depended on the number of students rating the class, raising questions about use of such averages in tenure and promotion decisions; (3) generalizability analyses indicated the SAIs primarily reflect the effectiveness of the instructor rather than the influence of the course; and (4) positive correlations were found between three potential biasing variables--student ratings, both expected and actual grades, class size, and workload/difficulty. (DB)