2A great deal of recent research has identified many factors influencing student acceptance of 3 biological evolution, but few of these factors have been measured in a longitudinal context of 4 changing knowledge and acceptance of evolution over a period of instruction. This study 5 investigates factors previously associated with evolution acceptance as well as other potential 6 factors among students over the course of a year-long majors and nonmajors introductory 7 biology sequence at a private, research-intensive university in the northeastern United States. 8Acceptance of evolution was measured using the Measure of Acceptance of the Theory of 9 Evolution (MATE) instrument, and other factors were measured using well-established 10 instruments and a demographic survey. As expected given the context, evolution was widely 11 accepted (71% of our sample scored in the "high" or "very high" acceptance range) among the 12 population, but 160 students were in the very low to moderate acceptance range. Over the course 13 of the academic year, normalized change regressions revealed that as knowledge of the Nature of 14 Science (NoS) increased, evolution acceptance increased (R 2 = .378, p << 0.001). Increasing 15 levels of genetic literacy (R 2 = .214, p << 0.001) and Evolutionary Knowledge (R 2 = .177, p << 16 0.001) were also significantly associated with increases in acceptance of evolution. To our 17 knowledge, this study is also the first to examine the longitudinal effect of combining various 18 factors into unified working models of acceptance of evolution. From fall to spring, the influence 19 of student knowledge of NoS on evolution acceptance increased, as did the influence of genetic 20 literacy. Conversely, the influence of religious variables decreased, as did the influence of 21 political inclinations and race/ethnicity. Our results indicate that as students learn more about the 22 nature of science, they may rely more on scientific explanations for natural phenomena. This 23 study also underscores the importance of using longitudinal, multifactorial analyses to 24 understand acceptance of evolution. 25