Chronic absenteeism is a growing problem. Students most at-risk for chronic absenteeism are those who display low school engagement, possess a low GPA, perceive a negative school climate, have low parental support or monitoring, and are African American (Bean et al., 2006;Benner & Wang, 2014;Finn, 1989;Skedgell & Kearney, 2018). In fact, African American high school students demonstrate some of the highest rates of chronic absenteeism in the United States, California, and a large urban school district referred to as The District 1 (Chang et al.,
2018; ERS Report to [The District] Advisory Task Force: Attendance Analysis, 2017). These findings have stimulated the development of national, state, and local interventions aimed at improving absenteeism. However, many of these interventions have been unsuccessful because we do not understand African American students' reasons for absenteeism, let alone the 1 The pseudonym The District is used to maintain anonymity.iii differences in outcome for students who attend school but miss their classes (i.e., are partially absent). These data are essential for developing successful interventions.The current study filled this gap by conducting statistical analyses of attendance, academic and survey data to identify areas that should be researched further. The goal of the study was to gain insight into a subgroup of African American high school students who were partially absent from school. A quantitative approach was used to describe the distinguishing characteristics of African American high school students who were severely partially absent 2 by comparing them to African American high school students who were chronically absent 3 . Preexisting data from The District's School Experience Survey (items related to school belonging), attendance records, and grade reports were analyzed using descriptive and inferential statistics (i.e., chi-square test of independence and multiple linear regression) to better describe and distinguish these students.The results of chi-square analyses indicated that more students within the sample were severely partially absent than chronically absent, and that grade level and school location had a significant association with both attendance patterns. The results of multiple linear regressions showed that when controlling for the effects of full absences and covariates (e.g., gender and grade level), the effects of partial absences on achievement and sense of belonging are the strongest. Additionally, when controlling for the effects of partial absences and covariates (e.g., gender and grade level), the effects of full absences on sense of belonging are not significant. In other words, the effects of severe partial absences on African American high school students' I would be remiss if I did not also thank Meredith Langi. Thank you so much for your technical guidance, as well as for planting the quantitative seed early on. You truly are a stats wizard.Cohort 25, thank you for being an exemplary ensemble of dedicated and conscious educators. I aspire...