Evaluating and Ranking Criteria for Mathematics Graduate Education Admissions through the Analytic Hierarchy Process
Simon D. Nguyen

TL;DR
This paper uses the Analytic Hierarchy Process to rank and analyze the importance of various admission criteria for mathematics PhD programs, providing insights for applicants and differences among faculty and program tiers.
Contribution
It introduces a structured ordinal ranking of admission factors using AHP and compares how these rankings vary across different academic populations.
Findings
Professors and different program tiers prioritize admission factors differently.
Graduate coursework and research experience are valued variably across groups.
The study offers guidance for prospective applicants on where to focus their efforts.
Abstract
Graduate school admission committees consider many factors for admission into a mathematics PhD program, and aspiring applicants often wonder which factors are more important. Applicants discerning where to best dedicate their time may ask questions such as, "should I take graduate level courses or participate in research?" This paper seeks to answer such questions by constructing an ordinal ranking of admission criteria and provide insight on why some factors are more valued. Using a conjoint analysis method called Analytic Hierarchy Process from mathematician Thomas Saaty, this paper evaluates the relative influence certain predictors have on admissions into a mathematics PhD program. Additionally, this paper analyzes the difference in factor rankings between varying populations. For instance, results indicate that full professors tend to differ from their associate and assistant…
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Taxonomy
TopicsMulti-Criteria Decision Making
