An Integrated Statistical Methodology Approach to Enrollment Management

ABSTRACT This study examines the decision‐making processes of prospective students and parents to establish an evidence‐based framework for higher education enrollment management. Utilizing a survey of 948 students and 990 parents, the research employs conjoint analysis, factor analysis, and cluster segmentation to identify key institutional choice drivers. Findings reveal that while academic reputation is the most influential attribute, decisions are primarily shaped by three latent constructs: Reputation, Recommendation, and Fit. This paper makes a substantive contribution by operationalizing market orientation through advanced analytics, revealing heterogeneous student segments with distinct motivational profiles. These insights provide university administrators with actionable diagnostics for resource allocation and targeted messaging. Ultimately, the study bridges theoretical understanding and practical application, offering a robust, data‐driven model for improving competitive positioning and recruitment outcomes within the increasingly complex higher education landscape.

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Publication Details

Journal
Higher Education Quarterly
Published
2026-05-16
DOI
https://doi.org/10.1111/hequ.70138
Primary Topic
Higher Education Research Studies
Type
article
Field-Weighted Citation Impact
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article

An Integrated Statistical Methodology Approach to Enrollment Management

Beheruz N. Sethna, David Nickell
Higher Education Quarterly
Higher Education Research Studies
article

An Integrated Statistical Methodology Approach to Enrollment Management

Beheruz N. Sethna, David Nickell
article en

Abstract

ABSTRACT This study examines the decision‐making processes of prospective students and parents to establish an evidence‐based framework for higher education enrollment management. Utilizing a survey of 948 students and 990 parents, the research employs conjoint analysis, factor analysis, and cluster segmentation to identify key institutional choice drivers. Findings reveal that while academic reputation is the most influential attribute, decisions are primarily shaped by three latent constructs: Reputation, Recommendation, and Fit. This paper makes a substantive contribution by operationalizing market orientation through advanced analytics, revealing heterogeneous student segments with distinct motivational profiles. These insights provide university administrators with actionable diagnostics for resource allocation and targeted messaging. Ultimately, the study bridges theoretical understanding and practical application, offering a robust, data‐driven model for improving competitive positioning and recruitment outcomes within the increasingly complex higher education landscape.

Higher Education QuarterlyVol. 80(3)
Southeastern Louisiana University (US), University of West Georgia (US)
Openalex Percentile: Top 2%
Higher Education Research Studies
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