ERIC Number: EJ1435639
Record Type: Journal
Publication Date: 2024-Aug
Pages: 22
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0361-0365
EISSN: EISSN-1573-188X
Available Date: N/A
Illuminating the Post-Graduation Impact of Undergraduate Participation in High-Impact Practices Using Propensity Score Analysis with Structural Equation Modeling
Research in Higher Education, v65 n5 p943-964 2024
As colleges and universities grapple with uncertainty around current and future enrollment as well as increasingly vocal questions about the value of postsecondary education, it is critically important that institutions ascertain and invest in the elements of campus learning and engagement that add value to the undergraduate experience. This study examines the relationship between cumulative participation in high-impact practices (HIPs) and the perceived importance of postsecondary experience in preparation for adult life using the Educational Longitudinal Study of 2002 (ELS) dataset. Employing a methodology proposed and tested by Leite et al. (Struct Equ Model Multidiscip J 26(3):448-469, 2019. https://doi-org.bibliotheek.ehb.be/10.1080/10705511.2018.1522591), this analysis incorporated the ability to account for self-selection into HIPs using propensity score (PS) analysis with a multiple-group structural equation model (SEM) design to examine differences between students who participated in two or more HIPs and those who did not (n = 3105). Results offered evidence of benefit to participation in two or more HIP experiences with positive and statistically significant differences in the perceived importance of postsecondary education in preparation for adult life across the analytic sample with doubly robust estimation techniques. Interaction effects for female students, students from low SES backgrounds, and students who are members of minoritized racial/ethnic populations were also identified. The findings offered evidence of post-graduation impact of cumulative participation in HIPs that can inform program development and student decision-making as well as the future use of analytic techniques such as PS analysis, doubly robust estimation, and sensitivity analysis to enhance measurement precision.
Descriptors: College Graduates, Student Participation, Educational Practices, Longitudinal Studies, Probability, Scores, Structural Equation Models, Postsecondary Education, Outcomes of Education, Student Characteristics, College Students
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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Education Longitudinal Study of 2002 (NCES)
Grant or Contract Numbers: N/A
Author Affiliations: N/A