This work-in-progress study will examine the impact of COVID-19 on sophomore to junior year and junior to senior year engineering students’ persistence and whether their persistence varies by gender, financial need, and race/ethnicity— thus extending our prior work that examined the impact of COVID-19 on first-year student persistence to their sophomore year (Authors, 2022). Specifically, we will use social capital theory as the lens to examine student persistence prior to and during COVID-19 disruptions. The study will leverage institutional data to examine persistence rates prior to and during COVID-19 at a large Hispanic serving institution (HSI) in the Southwest and a Historically Black College or University (HBCU) also in the Southwest. Specifically, we will follow four cohorts of students (approximately 3500 students per cohort at the HSI and approximately 400 students per cohort at the HBCU) for three semesters: (a) fall 2018 sophomore students, (b) fall 2019 sophomore students, (c) fall 2018 junior students, and (d) fall 2019 junior students. The sophomore and junior students’ persistence will be tracked over a period of three semesters – thus the pre-COVID-19 cohorts (i.e., fall 2018 cohorts) did not have their education disrupted over this time frame (fall 2018 to fall 2019) by COVID-19 while the COVID-19 cohorts (i.e., fall 2019 cohorts) did have their education disrupted in spring 2020. We will compare persistence rates using descriptive statistics of students from the pre-COVID-19 and COVID-19 cohorts. Because of the size of the sample, we will be able to break down the results further by gender, financial need, and race/ethnicity. This study represents the preliminary descriptive analyses for a planned study that will examine persistence during COVID-19 using a survival analysis. Extending our prior study of first-year to second-year persistence in engineering, this paper will seek to answer the following research questions: (1) What impact did the COVID-19 pandemic have on the persistence of undergraduate engineering students at the two universities? (2) Do demographic variables (i.e., gender, financial need, and race/ethnicity) of engineering students differentially relate to their persistence pre- and mid-COVID-19 at the two universities? The results will be situated in the existing literature, recommendations will be made for further research, and implications will be discussed.
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