Work

AGE: Age-Gender Effect on Faculty Career Progression in American Universities

Year: 2024

Type: article

Abstract: This study was undertaken to examine the impact of age and gender on faculty career progression in academia and to identify key performance indicators leading to attaining promotion. To explore any evidence of age-gender effect on faculty career progression, gender compositions, promotion rates, and appointment lengths at the assistant and associate professor levels are investigated. Furthermore, the underlying factors influencing faculty performance evaluation decisions are analyzed using the commercial data provided by Academic Analytics, LLC, which comprises the scholarly records of 336,793 faculty members from 472 Ph.D.-granting universities in the United States during 2011-2020. Various machine learning techniques, including ensemble learning and association rule mining, are performed to determine the important features that provide the most significant insights into academic career growth. Our results indicate strong evidence of age-gender effect on faculty career advancement and underscore the significance of journal article and citation counts for career progression in higher education.

Source: IEEE Transactions on Big Data

DOI: 10.1109/tbdata.2024.3423726

Authors: Hoda Rahmani, Anthony J. Olejniczak, Gary R. Weckman

Institutions: Ohio University, Academic Analytics Research Center

Language: English

Topic: scientometrics and bibliometrics research

Subfield: Library and Information Sciences

Field: Social Sciences

Domain: Social Sciences

SDGs: Gender equality, Reduced inequalities

Open Access status: hybrid

Estimated APC paid: $2,495