ERIC Number: ED650653
Record Type: Non-Journal
Publication Date: 2024
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: N/A
Predictors of Student Reenrollment and Graduation during the COVID-19 Pandemic: Student Characteristics and Circumstances
Grantee Submission
The COVID-19 pandemic decreased college enrollment and disrupted academic progress, particularly among disadvantaged students and institutions. Just before the start of the pandemic in spring 2020, 31,511 undergraduate students attending colleges of The City University of New York responded to a survey detailing their circumstances. Lasso regression followed by mixed-effects logistic regression modeling were used to identify predictors of (1) fall 2020 reenrollment, (2) associate's-degree graduation or transfer to a bachelor's-degree program by associate's-degree students by fall 2022, and (3) graduation with a bachelor's-degree by bachelor's-degree students by fall 2022. Part-time status, food insecurity, gender, and major predicted reenrollment and graduation or transfer. Belonging, friendships, and extracurricular involvement predicted fall 2020 reenrollment. Race/ethnicity and ASAP program involvement predicted associate's-degree graduation or transfer. These findings can assist institutions in targeting effective interventions for helping students faced with external challenges.
Publication Type: Reports - Research
Education Level: Higher Education; Postsecondary Education; Two Year Colleges
Audience: N/A
Language: English
Sponsor: Institute of Education Sciences (ED)
Authoring Institution: N/A
Identifiers - Location: New York (New York)
IES Funded: Yes
Grant or Contract Numbers: R305A180139