Publication Date

Spring 4-3-2025

Abstract

This study examines the causal relationship between program complexity and graduation time at UNM. While program complexity is recognized as a factor influencing student outcomes, its precise impact on graduation timelines remains underexplored. Using comprehensive cohort data, this study employs causal inference methods, including generalized propensity scores, to estimate the effect of complexity on time-to-degree. Findings reveal that higher program complexity extends graduation timelines, even after controlling for demographics and academic preparedness. Socioeconomic factors also play a role. Specifically, programs with more Pell Grant recipients and lower median high school GPAs tend to have lower complexity levels. These results provide empirical evidence on the impact of program complexity on student success, offering insights for university administrators and policymakers. Optimizing program structures while maintaining academic rigor and support systems can enhance graduation rates and promote equitable access to higher education.

Degree Name

Statistics

Level of Degree

Masters

Department Name

Mathematics & Statistics

First Committee Member (Chair)

James Degnan

Second Committee Member

Chaouki Abdallah

Third Committee Member

Terry Babbitt

Language

English

Document Type

Thesis

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